26 CFR 1.1060-1 - Special allocation rules for certain asset acquisitions.

Code of Federal Regulations, 2010 CFR

2010-04-01

...) (relating to the allocation of adjusted grossed-up basis among the assets of the target corporation when a... of value. P is a company that designs, manufactures, and markets electronic components. It wants to... market value of the non-recognition assets transferred by one party exceeds the fair market value of the...

Programmer/Analyst Guide for the Army Unit Resiliency Analysis (AURA) computer Simulation Model. Volume 1. AURA Methodology

DTIC Science & Technology

1990-10-01

involving a heavy artillery barrage, the impact point output alone could consume upwards of 10,000 pages of computer paper. For this reason, AURA provides...but pervasive factor: the asset allocation model must be compatible with the mathematical behavior of the input data. Thus, for example, if assets are...described as expendable during repair or decontamination activities, it must have HOMELINKS which appear in the consuming repair SUBCHAINs

Optimizing Utilization of Detectors

DTIC Science & Technology

2016-03-01

provide a quantifiable process to determine how much time should be allocated to each task sharing the same asset . This optimized expected time... allocation is calculated by numerical analysis and Monte Carlo simulation. Numerical analysis determines the expectation by involving an integral and...determines the optimum time allocation of the asset by repeatedly running experiments to approximate the expectation of the random variables. This

Estimating risk of foreign exchange portfolio: Using VaR and CVaR based on GARCH-EVT-Copula model

NASA Astrophysics Data System (ADS)

Wang, Zong-Run; Chen, Xiao-Hong; Jin, Yan-Bo; Zhou, Yan-Ju

2010-11-01

This paper introduces GARCH-EVT-Copula model and applies it to study the risk of foreign exchange portfolio. Multivariate Copulas, including Gaussian, t and Clayton ones, were used to describe a portfolio risk structure, and to extend the analysis from a bivariate to an n-dimensional asset allocation problem. We apply this methodology to study the returns of a portfolio of four major foreign currencies in China, including USD, EUR, JPY and HKD. Our results suggest that the optimal investment allocations are similar across different Copulas and confidence levels. In addition, we find that the optimal investment concentrates on the USD investment. Generally speaking, t Copula and Clayton Copula better portray the correlation structure of multiple assets than Normal Copula.

76 FR 78703 - American Century Strategic Asset Allocations, Inc., et al.;

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-19

.... Summary of Application: Applicants request an order to permit open-end management investment companies... Century Strategic Asset Allocations, Inc. (``ACSAA''), American Century Investment Management, Inc... Management, Office of Investment Company Regulation). SUPPLEMENTARY INFORMATION: The following is a summary...

Asset Allocation to Cover a Region of Piracy

DTIC Science & Technology

2011-09-01

1087-1092. 8. Kirkpatrick, S., Optimization by Simulated Annealing. Science, 1983. 220(4598): p. 671-680. 9. Daskin , M. S., A bibliography for some...... a uniform piracy risk and where some areas are more vulnerable than others. Simulated annealing was used to allocate the patrolling naval assets

76 FR 77900 - Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-15

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4022 and 4044 Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer Plans; Interest Assumptions for Valuing and Paying Benefits AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final rule. SUMMARY: This final...

76 FR 13883 - Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-15

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4022 and 4044 Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer Plans; Interest Assumptions for Valuing and Paying Benefits AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final rule. SUMMARY: This final...

78 FR 16401 - Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-03-15

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4022 and 4044 Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer Plans; Interest Assumptions for Valuing and Paying Benefits AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final rule. SUMMARY: This final...

78 FR 35754 - Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-14

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4022 and 4044 Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer Plans; Interest Assumptions for Valuing and Paying Benefits AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final rule. SUMMARY: This final...

77 FR 56770 - Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-14

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4022 and 4044 Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer Plans; Interest Assumptions for Valuing and Paying Benefits AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final rule. SUMMARY: This final...

75 FR 33688 - Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-15

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4022 and 4044 Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer Plans; Interest Assumptions for Valuing and Paying Benefits AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final rule. SUMMARY: Pension...

75 FR 12121 - Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-15

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4022 and 4044 Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer Plans; Interest Assumptions for Valuing and Paying Benefits AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final rule. SUMMARY: Pension...

78 FR 56603 - Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-09-13

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4022 and 4044 Allocation of Assets in Single... Paying Benefits AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final rule. SUMMARY: This final rule amends the Pension Benefit Guaranty Corporation's regulations on Benefits Payable in Terminated...

76 FR 34847 - Allocation of Assets in Single-Employer Plans; Benefits Payable in Terminated Single-Employer...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-15

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4022 and 4044 Allocation of Assets in Single... Paying Benefits AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final rule. SUMMARY: This final rule amends the Pension Benefit Guaranty Corporation's regulations on Benefits Payable in Terminated...

Vehicle routing problem and capacitated vehicle routing problem frameworks in fund allocation problem

NASA Astrophysics Data System (ADS)

Mamat, Nur Jumaadzan Zaleha; Jaaman, Saiful Hafizah; Ahmad, Rokiah@Rozita

2016-11-01

Two new methods adopted from methods commonly used in the field of transportation and logistics are proposed to solve a specific issue of investment allocation problem. Vehicle routing problem and capacitated vehicle routing methods are applied to optimize the fund allocation of a portfolio of investment assets. This is done by determining the sequence of the assets. As a result, total investment risk is minimized by this sequence.

401(k) plan asset allocation, account balances, and loan activity.

PubMed

VanDerhei, J; Galer, R; Quick, C; Rea, J

1999-01-01

The Employee Benefit Research Institute (EBRI) and the Investment Company Institute (ICI) have been collaborating for the past two years to collect data on participants in 401(k) plans. This effort, known as the EBRI/ICI Participant-Directed Retirement Plan Data Collection Project, has obtained data for 401(k) plan participants from certain of EBRI and ICI sponsors and members serving as plan recordkeepers and administrators. The report includes 1996 information on 6.6 million active participants in 27,762 plans holding nearly $246 billion in assets. The data include demographic information, annual contributions, plan balances, asset allocation, and loans, and are currently the most comprehensive source of information on individual plan participants. In 1996, the first year for which data are ready for analysis, the EBRI/ICI database appears to be broadly representative of the universe of 401(k) plans. Key findings include: for all participants, 44.0 percent of the total plan balance is invested in equity funds, 19.1 percent in employer stock, 15.1 percent in guaranteed investment contracts (GICs), 7.8 percent in balanced funds, 6.8 percent in bond funds, 5.4 percent in money funds, 0.8 percent in other stable value funds, and 1.0 percent in other or unidentified investments. This allocation implies that over two-thirds of plan balances are invested directly or indirectly in equity securities. Asset allocation varies with age. For instance, on average, individuals in their twenties invested 76.8 percent of assets in equities and only 22.1 percent in fixed-income investments. By comparison, individuals in their sixties invested 53.2 percent of their assets in equities and 45.9 percent of assets in fixed-income investments. Investment options offered by 401(k) plans appear to influence asset allocation. For example, the addition of company stock substantially reduces the allocation to equity funds and the addition of GICs lowers allocations to bond and money funds. Employer contributions in the form of company stock affect participant allocation behavior. Participants in plans in which employer contributions are made in company stock appear to decrease allocations to equity funds and to increase the allocation of company stock in self-directed balances. The average account balance (net of plan loans) for all participants is $37,323. The balances, however, represent only amounts with current employers and do not include amounts remaining in the plans of prior employers. Nor do the balances indicate what savings would be in a "mature" 401(k) plan program. The average balances of older workers with long tenure at one employer indicate that a mature 401(k) plan program will produce substantial account balances. For example, individuals in their sixties with at least 30 years of tenure have average account balances in excess of $156,000; those in their fifties have balances in excess of $117,000.

Success in Investing: Integrating Spending Policy into Asset Allocation Strategy.

ERIC Educational Resources Information Center

Morrell, Louis R.

1996-01-01

Successful college and university investments hinge on an asset allocation strategy capable of meeting the institution's needs for income and growth in principal at the lowest possible risk. Periodic adjustments must be made when there is a shift in the institution's risk tolerance, modification in need for income distribution, and changes in…

Equity in health care in Namibia: developing a needs-based resource allocation formula using principal components analysis

PubMed Central

Zere, Eyob; Mandlhate, Custodia; Mbeeli, Thomas; Shangula, Kalumbi; Mutirua, Kauto; Kapenambili, William

2007-01-01

Background The pace of redressing inequities in the distribution of scarce health care resources in Namibia has been slow. This is due primarily to adherence to the historical incrementalist type of budgeting that has been used to allocate resources. Those regions with high levels of deprivation and relatively greater need for health care resources have been getting less than their fair share. To rectify this situation, which was inherited from the apartheid system, there is a need to develop a needs-based resource allocation mechanism. Methods Principal components analysis was employed to compute asset indices from asset based and health-related variables, using data from the Namibia demographic and health survey of 2000. The asset indices then formed the basis of proposals for regional weights for establishing a needs-based resource allocation formula. Results Comparing the current allocations of public sector health car resources with estimates using a needs based formula showed that regions with higher levels of need currently receive fewer resources than do regions with lower need. Conclusion To address the prevailing inequities in resource allocation, the Ministry of Health and Social Services should abandon the historical incrementalist method of budgeting/resource allocation and adopt a more appropriate allocation mechanism that incorporates measures of need for health care. PMID:17391533

Equity in health care in Namibia: developing a needs-based resource allocation formula using principal components analysis.

PubMed

Zere, Eyob; Mandlhate, Custodia; Mbeeli, Thomas; Shangula, Kalumbi; Mutirua, Kauto; Kapenambili, William

2007-03-29

The pace of redressing inequities in the distribution of scarce health care resources in Namibia has been slow. This is due primarily to adherence to the historical incrementalist type of budgeting that has been used to allocate resources. Those regions with high levels of deprivation and relatively greater need for health care resources have been getting less than their fair share. To rectify this situation, which was inherited from the apartheid system, there is a need to develop a needs-based resource allocation mechanism. Principal components analysis was employed to compute asset indices from asset based and health-related variables, using data from the Namibia demographic and health survey of 2000. The asset indices then formed the basis of proposals for regional weights for establishing a needs-based resource allocation formula. Comparing the current allocations of public sector health car resources with estimates using a needs based formula showed that regions with higher levels of need currently receive fewer resources than do regions with lower need. To address the prevailing inequities in resource allocation, the Ministry of Health and Social Services should abandon the historical incrementalist method of budgeting/resource allocation and adopt a more appropriate allocation mechanism that incorporates measures of need for health care.

76 FR 18869 - Allocation of Assets in Single-Employer Plans

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-06

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Part 4044 Allocation of Assets in Single-Employer Plans CFR Correction In Title 29 of the Code of Federal Regulations, Part 1927 to End, revised as of July 1, 2010, on page 1007, in the table in Appendix B, in the entry for July 1994, the fourth column...

26 CFR 1.338-6 - Allocation of ADSP and AGUB among target assets.

Code of Federal Regulations, 2013 CFR

2013-04-01

... (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES (CONTINUED) Effects on Corporation § 1.338-6 Allocation of... made. (2) Fair market value—(i) In general. Generally, the fair market value of an asset is its gross fair market value (i.e., fair market value determined without regard to mortgages, liens, pledges, or...

26 CFR 1.338-6 - Allocation of ADSP and AGUB among target assets.

Code of Federal Regulations, 2011 CFR

2011-04-01

... (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES Effects on Corporation § 1.338-6 Allocation of ADSP and AGUB... market value—(i) In general. Generally, the fair market value of an asset is its gross fair market value (i.e., fair market value determined without regard to mortgages, liens, pledges, or other liabilities...

26 CFR 1.338-6 - Allocation of ADSP and AGUB among target assets.

Code of Federal Regulations, 2012 CFR

2012-04-01

... (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES (Continued) Effects on Corporation § 1.338-6 Allocation of... made. (2) Fair market value—(i) In general. Generally, the fair market value of an asset is its gross fair market value (i.e., fair market value determined without regard to mortgages, liens, pledges, or...

26 CFR 1.338-6 - Allocation of ADSP and AGUB among target assets.

Code of Federal Regulations, 2014 CFR

2014-04-01

... (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES (CONTINUED) Effects on Corporation § 1.338-6 Allocation of... made. (2) Fair market value—(i) In general. Generally, the fair market value of an asset is its gross fair market value (i.e., fair market value determined without regard to mortgages, liens, pledges, or...

Risk-Based Sampling: I Don't Want to Weight in Vain.

PubMed

Powell, Mark R

2015-12-01

Recently, there has been considerable interest in developing risk-based sampling for food safety and animal and plant health for efficient allocation of inspection and surveillance resources. The problem of risk-based sampling allocation presents a challenge similar to financial portfolio analysis. Markowitz (1952) laid the foundation for modern portfolio theory based on mean-variance optimization. However, a persistent challenge in implementing portfolio optimization is the problem of estimation error, leading to false "optimal" portfolios and unstable asset weights. In some cases, portfolio diversification based on simple heuristics (e.g., equal allocation) has better out-of-sample performance than complex portfolio optimization methods due to estimation uncertainty. Even for portfolios with a modest number of assets, the estimation window required for true optimization may imply an implausibly long stationary period. The implications for risk-based sampling are illustrated by a simple simulation model of lot inspection for a small, heterogeneous group of producers. © 2015 Society for Risk Analysis.

On long-only information-based portfolio diversification framework

NASA Astrophysics Data System (ADS)

Santos, Raphael A.; Takada, Hellinton H.

2014-12-01

Using the concepts from information theory, it is possible to improve the traditional frameworks for long-only asset allocation. In modern portfolio theory, the investor has two basic procedures: the choice of a portfolio that maximizes its risk-adjusted excess return or the mixed allocation between the maximum Sharpe portfolio and the risk-free asset. In the literature, the first procedure was already addressed using information theory. One contribution of this paper is the consideration of the second procedure in the information theory context. The performance of these approaches was compared with three traditional asset allocation methodologies: the Markowitz's mean-variance, the resampled mean-variance and the equally weighted portfolio. Using simulated and real data, the information theory-based methodologies were verified to be more robust when dealing with the estimation errors.

26 CFR 1.338-7 - Allocation of redetermined ADSP and AGUB among target assets.

Code of Federal Regulations, 2010 CFR

2010-04-01

...: Asset class Asset Fair market value V Building $ 100 V Stock of X (not a target) 200 Total 300 (B) T has... target assets. 1.338-7 Section 1.338-7 Internal Revenue INTERNAL REVENUE SERVICE, DEPARTMENT OF THE... redetermined ADSP and AGUB among target assets. (a) Scope. ADSP and AGUB are redetermined at such time and in...

College Financial Aid Rules and the Allocation of Savings

ERIC Educational Resources Information Center

Reyes, Jessica Wolpaw

2008-01-01

The college financial aid system imposes an implicit asset tax that is prevalent and substantial. Facing this tax, rational families should reduce their total assets and shelter assets in protected categories. I find that the tax induces a 7-12% reduction in total assets, a result in line with the literature. Furthermore, I find evidence that…

Positioning the Learning Asset Portfolio as a Key Component in an Organization's Enterprise Risk Management Strategy

ERIC Educational Resources Information Center

McAliney, Peter J.

2009-01-01

This article presents a process for valuing a portfolio of learning assets used by line executives across industries to value traditional business assets. Embedded within the context of enterprise risk management, this strategic asset allocation process is presented step by step, providing readers the operational considerations to implement this…

Maintaining Investment Success: The Importance of Asset Suballocation.

ERIC Educational Resources Information Center

Morrell, Louis R.

1997-01-01

To meet demand for increased funding, in a period of probable declining investment returns, colleges and universities must fine-tune their asset suballocations to enhance returns. While the institution should adhere to major asset allocation classes, there can be much flexibility, and enhanced return, in shifting suballocations within the major…

Fund allocation using capacitated vehicle routing problem

NASA Astrophysics Data System (ADS)

Mamat, Nur Jumaadzan Zaleha; Jaaman, Saiful Hafizah; Ahmad, Rokiah Rozita; Darus, Maslina

2014-09-01

In investment fund allocation, it is unwise for an investor to distribute his fund into several assets simultaneously due to economic reasons. One solution is to allocate the fund into a particular asset at a time in a sequence that will either maximize returns or minimize risks depending on the investor's objective. The vehicle routing problem (VRP) provides an avenue to this issue. VRP answers the question on how to efficiently use the available fleet of vehicles to meet a given service demand, subjected to a set of operational requirements. This paper proposes an idea of using capacitated vehicle routing problem (CVRP) to optimize investment fund allocation by employing data of selected stocks in the FTSE Bursa Malaysia. Results suggest that CRVP can be applied to solve the issue of investment fund allocation and increase the investor's profit.

Critical Infrastructure: The National Asset Database

DTIC Science & Technology

2007-07-16

Infrastructure: The National Asset Database 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e...upon which federal resources, including infrastructure protection grants , are allocated. According to DHS, both of those assumptions are wrong. DHS...assets that it has determined are critical to the nation. Also, while the National Asset Database has been used to support federal grant -making

Switching portfolios.

PubMed

Singer, Y

1997-08-01

A constant rebalanced portfolio is an asset allocation algorithm which keeps the same distribution of wealth among a set of assets along a period of time. Recently, there has been work on on-line portfolio selection algorithms which are competitive with the best constant rebalanced portfolio determined in hindsight (Cover, 1991; Helmbold et al., 1996; Cover and Ordentlich, 1996). By their nature, these algorithms employ the assumption that high returns can be achieved using a fixed asset allocation strategy. However, stock markets are far from being stationary and in many cases the wealth achieved by a constant rebalanced portfolio is much smaller than the wealth achieved by an ad hoc investment strategy that adapts to changes in the market. In this paper we present an efficient portfolio selection algorithm that is able to track a changing market. We also describe a simple extension of the algorithm for the case of a general transaction cost, including the transactions cost models recently investigated in (Blum and Kalai, 1997). We provide a simple analysis of the competitiveness of the algorithm and check its performance on real stock data from the New York Stock Exchange accumulated during a 22-year period. On this data, our algorithm outperforms all the algorithms referenced above, with and without transaction costs.

Use of target-date funds in 401(k) plans, 2007.

PubMed

Copeland, Craig

2009-03-01

WHAT THEY ARE: Target-date funds (also called "life-cycle" funds) are a type of mutual fund that automatically rebalances its asset allocation following a predetermined pattern over time. They typically rebalance to more conservative and income-producing assets as the participant's target date of retirement approaches. WHY THEY'RE IMPORTANT AND GROWING: Of the 401(k) plan participants in the EBRI/ICI 401(k) database who were found to be in plans that offeredtarget-date funds, 37 percent had at least some fraction of their account in target-date funds in 2007. Target-date funds held about 7 percent of total assets in 401(k) plans and the use of these funds is expected to increase in the future. The Pension Protection Act of 2006 made it easier for plan sponsors to automatically enroll new workers in a 401(k) plan, and target-date funds were one of the types of approved funds specified for a "default" investment if the participant does not elect a choice. BRI/ICI 401(K) DATABASE: This study uses the unique richness of the data in the EBRI/ICI Participant-Directed Retirement Plan Data Collection Project, which has almost 22 million participants, to examine the choices and characteristics of participants whose plans offer target-date funds. EFFECT OF AGE, SALARY, JOB TENURE, AND ACCOUNT BALANCE: Younger workers are significantly more likely to invest in target-date funds than are older workers: Almost 44 percent of participants under age 30 had assets in a target-date fund, compared with 27 percent of those 60 or older. Target-date funds appeal to those with lower incomes, little time on the job, and with few assets. On average, target-date fund investors are about 2.5 years younger than those who do not invest in target-date funds, have about 3.5 years less tenure, make about $11,000 less in salary, have $25,000 less in their account, and are in smaller plans. EFFECT OF AUTOMATIC ENROLLMENT: While the EBRI/ICI database does not contain specific information on whether a 401(k) plan had automatic enrollment, this analysis was able to proxy for those who could be identified as automatically enrolled. The data show that workers who were considered to be automatically enrolled in their employer's 401(k) plan are significantly more likely to invest all their assets in a target-date fund than those who voluntarily joined, and were also less likely to have extreme all-or-nothing asset allocations to equities. EQUITY ALLOCATIONS AND FUND FAMILIES: One of the major questions surrounding target-date funds is the equity allocations that these funds use over time (the so-called "glide path") as a participant's retirement target date approaches. The glide paths of different target-date funds have significantly different shapes and starting/ending equity allocations. As of 2007, the equity allocation ranges from about 80-90 percent for 2040 funds (for workers about 30 years away from retirement), and from 26-66 percent for 2010 funds (for workers one year away from retirement)--a 40 percentage-point difference. Moreover, the fund families change their relative rank in equity allocation within the different fund years. This analysis finds that the relative rank of the equity allocation within a target-date fund does not appear to affect the percentage of participants investing all their account into that fund. Nevertheless, investors in specific fund families are more likely to invest all their assets in a single target-date fund from that family.

Computational Modeling of Cultural Dimensions in Adversary Organizations

DTIC Science & Technology

2010-01-01

Nodes”, In the Proceedings of the 9th Conference on Uncertainty in Artificial Intelli - gence, 1993. [8] Pearl, J. Probabilistic Reasoning in...the artificial life simulations; in con- trast, models with only a few agents typically employ quite sophisticated cognitive agents capa- ble of...Model Construction 45 cisions as to how to allocate scarce ISR assets (two Unmanned Air Systems, UAS ) among the two Red activities while at the same

Liquidity-related plan asset issues.

PubMed

Murphy, B B; Johnson, M K; Zorn, W P

2000-12-01

By about 2025, most baby boomers will have retired, which will put a tremendous strain on public sector pension plans. Many will experience negative cash flows, and liquidity will be an increasing concern. Asset/liability studies can help measure the effect of this risk on system funding and contribution requirements, resulting in more informed asset allocation choices and benefit policies.

26 CFR 1.338-7 - Allocation of redetermined ADSP and AGUB among target assets.

Code of Federal Regulations, 2011 CFR

2011-04-01

... TREASURY (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES Effects on Corporation § 1.338-7 Allocation of... such amount as an increase or decrease would be required under general principles of tax law for the... original allocation to it, the difference is added to or subtracted from the original allocation to the...

Covariance versus correlation in capacitated vehicle routing problem-investment fund allocation problem

NASA Astrophysics Data System (ADS)

Mamat, Nur Jumaadzan Zaleha; Jaaman, Saiful Hafizah; Ahmad, Rokiah@Rozita

2017-04-01

Capacitated Vehicle Routing Problem-Investment Fund Allocation Problem (CVRP-IFAP) provides investors with a sequence of assets to allocate their funds into. To minimize total risks of investment in CVRP-IFAP covariance values measure the risks between two assets. Another measure of risks are correlation values between returns. The correlation values can be used to diversify the risk of investment loss in order to optimize expected return against a certain level of risk. This study compares the total risk obtained from CVRP-IFAP when using covariance values and correlation values. Results show that CVRP-IFAP with covariance values provides lesser total risks and a significantly better measure of risk.

Planning for the next influenza pandemic: using the science and art of logistics.

PubMed

Cupp, O Shawn; Predmore, Brad G

2011-01-01

The complexities and challenges for healthcare providers and their efforts to provide fundamental basic items to meet the logistical demands of an influenza pandemic are discussed in this article. The supply chain, planning, and alternatives for inevitable shortages are some of the considerations associated with this emergency mass critical care situation. The planning process and support for such events are discussed in detail with several recommendations obtained from the literature and the experience from recent mass casualty incidents (MCIs). The first step in this planning process is the development of specific triage requirements during an influenza pandemic. The second step is identification of logistical resources required during such a pandemic, which are then analyzed within the proposed logistics science and art model for planning purposes. Resources highlighted within the model include allocation and use of work force, bed space, intensive care unit assets, ventilators, personal protective equipment, and oxygen. The third step is using the model to discuss in detail possible workarounds, suitable substitutes, and resource allocation. An examination is also made of the ethics surrounding palliative care within the construction of an MCI and the factors that will inevitably determine rationing and prioritizing of these critical assets to palliative care patients.

Hedge Funds and Asset Allocation: Investor Confidence, Diversification Benefits, and a Change in Investment Style Composition

NASA Astrophysics Data System (ADS)

Bessler, Wolfgang; Holler, Julian

Based on the belief that hedge funds are able to generate positive risk-adjusted returns (alpha) and diversification benefits in a portfolio context, many investors have included hedge funds in their asset allocation in order to optimize the risk-return trade-off of their investments. We provide evidence that more optimistic prior beliefs about expected risk-adjusted returns (alpha) lead to higher allocations into hedge funds. It appears, however, that history may not be the best guide for future fund performance and that the diversification benefits have declined over time. One reason for the lower risk-adjusted returns is a capacity effect in that previously exceptional hedge fund returns caused higher inflows to these funds and consequently a competition for alpha among investors. In our empirical analysis we provide additional evidence of other explanations for decreasing hedge fund benefits such as an increase in correlations with other asset classes and changes in the style composition of hedge funds.

Advancing innovative high-speed remote-sensing highway infrastructure assessment using emerging technologies : technical report.

DOT National Transportation Integrated Search

2017-02-01

Asset management is a strategic approach to the optimal allocation of resources for the management, operation, maintenance, and preservation of transportation infrastructure. Asset management combines engineering and economic principles with sound bu...

A managerial approach to costing fixed assets in health care organizations: the role of depreciation and interest.

PubMed

Goldschmidt, Y; Gafni, A

1991-01-01

The economic aspect of depreciation and interest on capital are incorporated within a managerial accounting framework by treating both items as imputed charges to be debited to the users of the assets' services. The costs of these services is examined for individual assets that provide either uniform or declining service over the expected life, and for a stock of assets where the character of the individual assets is ignored. By using imputed charges, the hospital's net income is allocated to its sources.

26 CFR 1.861-10 - Special allocations of interest expense.

Code of Federal Regulations, 2010 CFR

2010-04-01

.... In addition, assets which are the subject of qualified nonrecourse indebtedness or integrated... 26 Internal Revenue 9 2010-04-01 2010-04-01 false Special allocations of interest expense. 1.861... § 1.861-10 Special allocations of interest expense. (a)-(d) [Reserved] (e) Treatment of certain...

Coupling Modern Portfolio Theory and Marxan enhances the efficiency of Lesser White-fronted Goose's (Anser erythropus) habitat conservation.

PubMed

Liang, Jie; Gao, Xiang; Zeng, Guangming; Hua, Shanshan; Zhong, Minzhou; Li, Xiaodong; Li, Xin

2018-01-09

Climate change and human activities cause uncertain changes to species biodiversity by altering their habitat. The uncertainty of climate change requires planners to balance the benefit and cost of making conservation plan. Here optimal protection approach for Lesser White-fronted Goose (LWfG) by coupling Modern Portfolio Theory (MPT) and Marxan selection were proposed. MPT was used to provide suggested weights of investment for protected area (PA) and reduce the influence of climatic uncertainty, while Marxan was utilized to choose a series of specific locations for PA. We argued that through combining these two commonly used techniques with the conservation plan, including assets allocation and PA chosing, the efficiency of rare bird's protection would be enhanced. In MPT analyses, the uncertainty of conservation-outcome can be reduced while conservation effort was allocated in Hunan, Jiangxi and Yangtze River delta. In Marxan model, the optimal location for habitat restorations based on existing nature reserve was identified. Clear priorities for the location and allocation of assets could be provided based on this research, and it could help decision makers to build conservation strategy for LWfG.

It was the best of times, it was the worst of times: a tale of two years in not-for-profit hospital financial investments.

PubMed

Song, Paula H; Smith, Dean G; Wheeler, John R C

2008-01-01

Not-for-profit (NFP) hospitals' accumulations of financial assets have been growing steadily over the past 10 years. Surprisingly, little is known about how much investment reserves represent and how they are handled among NFP hospitals. The purpose of this study is to evaluate investment strategies in financial assets among NFP hospitals. Specifically, this article seeks to explore how NFP hospitals allocate and manage financial assets, how much risk hospitals employ in their investment strategies, and the risk and return trade-off under contrasting market conditions. Using two years of survey data from the Common fund Benchmarks Study for Health Care Institutions for fiscal years 2002 and 2003, we analyze NFP hospitals' investment strategies by comparing asset size, investment management characteristics, board characteristics, asset allocation, levels of risk, and annual returns. Univariate regression analysis is used to evaluate the relationship between risk and return. NFP hospitals have sizeable long-term financial assets, averaging over $558 million in 2002 and $634 million in 2003. Two thirds of these funds are invested in long-term operating funds followed by defined benefit pension funds and insurance reserves; management of these funds is primarily outsourced. NFP hospitals allocate, on average, 50% of their operating fund assets to equities. During the stock market downturn in 2002, each 1% investment in equities was significantly associated with a -0.18% decrease in annual returns. In contrast, the relationship is almost exactly opposite--consistent with the relationship typically associated with risk and return--in 2003. NFP hospitals with heavy reliance on investment income to boost total profit margins may have difficulty adjusting to periods of low performance. Evaluation of the performance and financial condition of the hospital must account for the size and composition of financial assets.

39 CFR 3060. 30 - Statement of allocated assets and liabilities for competitive products.

Code of Federal Regulations, 2012 CFR

2012-07-01

... on basis of: Total net assets Cash and Cash Equivalents $x,xxx $x,xxx $x,xxx Net Accounts Receivable x,xxx x,xxx x,xxx Supplies, Advances and Prepayments x,xxx x,xxx x,xxx Appropriations Receivable—Revenue Forgone x,xxx x,xxx x,xxx Total Current Assets x,xxx x,xxx x,xxx Property and Equipment: Buildings...

39 CFR 3060. 30 - Statement of allocated assets and liabilities for competitive products.

Code of Federal Regulations, 2013 CFR

2013-07-01

... on basis of: Total net assets Cash and Cash Equivalents $x,xxx $x,xxx $x,xxx Net Accounts Receivable x,xxx x,xxx x,xxx Supplies, Advances and Prepayments x,xxx x,xxx x,xxx Appropriations Receivable—Revenue Forgone x,xxx x,xxx x,xxx Total Current Assets x,xxx x,xxx x,xxx Property and Equipment: Buildings...

39 CFR 3060. 30 - Statement of allocated assets and liabilities for competitive products.

Code of Federal Regulations, 2014 CFR

2014-07-01

... on basis of: Total net assets Cash and Cash Equivalents $x,xxx $x,xxx $x,xxx Net Accounts Receivable x,xxx x,xxx x,xxx Supplies, Advances and Prepayments x,xxx x,xxx x,xxx Appropriations Receivable—Revenue Forgone x,xxx x,xxx x,xxx Total Current Assets x,xxx x,xxx x,xxx Property and Equipment: Buildings...

39 CFR 3060. 30 - Statement of allocated assets and liabilities for competitive products.

Code of Federal Regulations, 2011 CFR

2011-07-01

... on basis of: Total net assets Cash and Cash Equivalents $x,xxx $x,xxx $x,xxx Net Accounts Receivable x,xxx x,xxx x,xxx Supplies, Advances and Prepayments x,xxx x,xxx x,xxx Appropriations Receivable—Revenue Forgone x,xxx x,xxx x,xxx Total Current Assets x,xxx x,xxx x,xxx Property and Equipment: Buildings...

39 CFR 3060. 30 - Statement of allocated assets and liabilities for competitive products.

Code of Federal Regulations, 2010 CFR

2010-07-01

... on basis of: Total net assets Cash and Cash Equivalents $x,xxx $x,xxx $x,xxx Net Accounts Receivable x,xxx x,xxx x,xxx Supplies, Advances and Prepayments x,xxx x,xxx x,xxx Appropriations Receivable—Revenue Forgone x,xxx x,xxx x,xxx Total Current Assets x,xxx x,xxx x,xxx Property and Equipment: Buildings...

Analysis of the Assignment Scheduling Capability for Unmanned Aerial Vehicles (ASC-U) Simulation Tool

DTIC Science & Technology

2006-06-01

dynamic programming approach known as a “rolling horizon” approach. This method accounts for state transitions within the simulation rather than modeling ... model is based on the framework developed for Dynamic Allocation of Fires and Sensors used to evaluate factors associated with networking assets in the...of UAVs required by all types of maneuver and support brigades. (Witsken, 2004) The Modeling , Virtual Environments, and Simulations Institute

New accounting rules: asset allocation and portfolio management.

PubMed

Andrew, B K

1997-01-01

New accounting rules went into effect at the end of 1995 that are now starting to affect how medical practices must report income from equity and fixed income investments. This article explores the new accounting rules and considers the other factors that help practices determine investment strategies, including desired investment return, comfort with level of risk, appropriate time horizons, liquidity needs and legal restrictions. The author also presents an example that examines the different considerations that may affect an asset allocation decision, including endowments and operating reserve funds.

Asset allocation using option-implied moments

NASA Astrophysics Data System (ADS)

Bahaludin, H.; Abdullah, M. H.; Tolos, S. M.

2017-09-01

This study uses an option-implied distribution as the input in asset allocation. The computation of risk-neutral densities (RND) are based on the Dow Jones Industrial Average (DJIA) index option and its constituents. Since the RNDs estimation does not incorporate risk premium, the conversion of RND into risk-world density (RWD) is required. The RWD is obtained through parametric calibration using the beta distributions. The mean, volatility, and covariance are then calculated to construct the portfolio. The performance of the portfolio is evaluated by using portfolio volatility and Sharpe ratio.

26 CFR 1.338-7 - Allocation of redetermined ADSP and AGUB among target assets.

Code of Federal Regulations, 2014 CFR

2014-04-01

... TREASURY (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES (CONTINUED) Effects on Corporation § 1.338-7... tax law for the elements of ADSP or AGUB. This section provides rules for allocating redetermined ADSP... different from the original allocation to it, the difference is added to or subtracted from the original...

26 CFR 1.338-7 - Allocation of redetermined ADSP and AGUB among target assets.

Code of Federal Regulations, 2012 CFR

2012-04-01

... TREASURY (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES (Continued) Effects on Corporation § 1.338-7... tax law for the elements of ADSP or AGUB. This section provides rules for allocating redetermined ADSP... different from the original allocation to it, the difference is added to or subtracted from the original...

26 CFR 1.338-7 - Allocation of redetermined ADSP and AGUB among target assets.

Code of Federal Regulations, 2013 CFR

2013-04-01

... TREASURY (CONTINUED) INCOME TAX (CONTINUED) INCOME TAXES (CONTINUED) Effects on Corporation § 1.338-7... tax law for the elements of ADSP or AGUB. This section provides rules for allocating redetermined ADSP... different from the original allocation to it, the difference is added to or subtracted from the original...

26 CFR 1.861-14 - Special rules for allocating and apportioning certain expenses (other than interest expense) of...

Code of Federal Regulations, 2010 CFR

2010-04-01

... chains of includible corporations connected through 80-percent stock ownership with a common parent... basis of assets is chosen, the average amount of assets (tax book value or fair market value) for the...

Software Product Lines: Report of the 2009 U.S. Army Software Product Line Workshop

DTIC Science & Technology

2009-04-01

record system was fielded in 2008. One early challenge for Overwatch was coming up with a funding model that would support core asset development (a...match the organizational model to the funding model . Product line architecture is essential. Address product line requirements up front. Put processes...when trying to move from a customer-driven, product-specific funding model to one in which at least some of the funds are allocated to the creation and

47 CFR 36.172 - Other noncurrent assets-Account 1410.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 47 Telecommunication 2 2010-10-01 2010-10-01 false Other noncurrent assets-Account 1410. 36.172 Section 36.172 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES... be allocated based on the relative separations of Account 2001, Telephone Plant in Service. [52 FR...

47 CFR 36.172 - Other noncurrent assets-Account 1410.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 2 2011-10-01 2011-10-01 false Other noncurrent assets-Account 1410. 36.172 Section 36.172 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES... be allocated based on the relative separations of Account 2001, Telephone Plant in Service. [52 FR...

Solving the collective-risk social dilemma with risky assets in well-mixed and structured populations

NASA Astrophysics Data System (ADS)

Chen, Xiaojie; Zhang, Yanling; Huang, Ting-Zhu; Perc, Matjaž

2014-11-01

In the collective-risk social dilemma, players lose their personal endowments if contributions to the common pool are too small. This fact alone, however, does not always deter selfish individuals from defecting. The temptations to free ride on the prosocial efforts of others are strong because we are hardwired to maximize our own fitness regardless of the consequences which might have for the public good. Here we show that the addition of risky assets to the personal endowments, both of which are lost if the collective target is not reached, can contribute to solving the collective-risk social dilemma. In infinite well-mixed populations, risky assets introduce new stable and unstable mixed steady states, whereby the stable mixed steady state converges to full cooperation as either the risk of collective failure or the amount of risky assets increases. Similarly, in finite well-mixed populations, the introduction of risky assets enforces configurations where cooperative behavior thrives. In structured populations cooperation is promoted as well, but the distribution of assets among the groups is crucial. Surprisingly, we find that the completely rational allocation of assets only to the most successful groups is not optimal, and this regardless of whether the risk of collective failure is high or low. Instead, in low-risk situations bounded rational allocation of assets works best, while in high-risk situations the simplest uniform distribution of assets among all the groups is optimal. These results indicate that prosocial behavior depends sensitively on the potential losses individuals are likely to endure if they fail to cooperate.

26 CFR 1.861-10T - Special allocations of interest expense (temporary).

Code of Federal Regulations, 2010 CFR

2010-04-01

... certain assets that are acquired in integrated financial transaction. Paragraph (d) of this section... flow from the property. (ii) Self-constructed assets. The activities associated with self-construction... subtracting cash disbursements excluding debt service from cash receipts. (iv) Analysis of operating costs...

26 CFR 1.861-10T - Special allocations of interest expense (temporary).

Code of Federal Regulations, 2014 CFR

2014-04-01

... generated by certain assets that are acquired in integrated financial transaction. Paragraph (d) of this... flow from the property. (ii) Self-constructed assets. The activities associated with self-construction... subtracting cash disbursements excluding debt service from cash receipts. (iv) Analysis of operating costs...

26 CFR 1.861-10T - Special allocations of interest expense (temporary).

Code of Federal Regulations, 2011 CFR

2011-04-01

... generated by certain assets that are acquired in integrated financial transaction. Paragraph (d) of this... flow from the property. (ii) Self-constructed assets. The activities associated with self-construction... subtracting cash disbursements excluding debt service from cash receipts. (iv) Analysis of operating costs...

26 CFR 1.861-10T - Special allocations of interest expense (temporary).

Code of Federal Regulations, 2013 CFR

2013-04-01

... generated by certain assets that are acquired in integrated financial transaction. Paragraph (d) of this... flow from the property. (ii) Self-constructed assets. The activities associated with self-construction... subtracting cash disbursements excluding debt service from cash receipts. (iv) Analysis of operating costs...

26 CFR 1.861-10T - Special allocations of interest expense (temporary).

Code of Federal Regulations, 2012 CFR

2012-04-01

... generated by certain assets that are acquired in integrated financial transaction. Paragraph (d) of this... flow from the property. (ii) Self-constructed assets. The activities associated with self-construction... subtracting cash disbursements excluding debt service from cash receipts. (iv) Analysis of operating costs...

26 CFR 1.861-12T - Characterization rules and adjustments for certain assets (temporary).

Code of Federal Regulations, 2010 CFR

2010-04-01

... income. As a result of this direct allocation, the value of X's assets generating foreign source general... characterizing the stock in controlled foreign corporations. Paragraph (c)(4) of this section describes the... foreign corporations. Paragraph (e) of this section describes the treatment of certain portfolio...

12 CFR 28.52 - Allocated transfer risk reserve.

Code of Federal Regulations, 2010 CFR

2010-01-01

... of the asset. (B) The initial year's provision for the ATRR shall be 10 percent of the principal... percent of the principal amount of each specified international asset, or such greater or lesser.... (c) Accounting treatment of ATRR—(1) Charge to current income. A banking institution shall establish...

Should Your Endowment Invest in Alternatives?

ERIC Educational Resources Information Center

Yoder, Jay A.

2005-01-01

Alternative investments (those that exhibit risk and return properties not easily attainable from traditional asset classes) constitute an investment option that no modern college or university investment strategist can ignore. Colleges and universities with larger allocations to alternatives outperformed institutions with smaller allocations in…

401(k) plan asset allocation, account balances, and loan activity in 1998.

PubMed

VanDerhei, J; Holden, S; Quick, C

2000-02-01

The Employee Benefit Research Institute (EBRI) and the Investment Company Institute (ICI) have been collaborating for the past three years to collect data on participants in 401(k) plans. This effort, known as the EBRI/ICI Participant-Directed Retirement Plan Data Collection Project, has obtained data for 401(k) plan participants from certain of EBRI and ICI members serving as plan record keepers and administrators. The report includes 1998 information on 7.9 million active participants in 30,102 plans holding nearly $372 billion in assets. The data include demographic information, annual contributions, plan balances, asset allocation, and loans, and are broadly representative of the universe of 401(k) plans. The database also includes three years of longitudinal information on approximately 3.3 million participants. Key findings include: For all 401(k) participants in the 1998 EBRI/ICI database, almost three-quarters of plan balances are invested directly or indirectly in equity securities. Specifically, 49.8 percent of total plan balances are invested in equity funds, 17.7 percent in company stock, 11.4 percent in guaranteed investment contracts (GICs), 8.4 percent in balanced funds, 6.1 percent in bond funds, 4.7 percent in money funds, and 0.3 percent in other stable value funds. Participant asset allocation varies considerably with age. Younger participants tend to favor equity funds, while older participants are more disposed to invest in GICs and bond funds. On average, participants in their 20s have 62.1 percent of their account balances invested in equity funds, in contrast to 39.8 percent for those in their 60s. Participants in their 20s invest 4.7 percent of their assets in GICs, while those in their 60s invest 20.6 percent. Bond funds, which represent 4.7 percent of the assets of participants in their 20s, amount to 9.0 percent of the assets of participants in their 60s. Investment options offered by 401(k) plans appear to influence asset allocation. For example, the addition of company stock substantially reduces the allocation to equity funds and the addition of GICs lowers allocations to bond and money funds. The average account balance (net of plan loans) for all participants was $47,004 at year-end 1998, which is 26 percent higher than the average account balance at year-end 1996. The median account balance was $13,038 at year-end 1998. The balances, however, represent only amounts with current employers and do not include amounts remaining in the plans of prior employers. The average balances of older workers with long tenure indicate that a mature 401(k) plan program will produce substantial account balances. For example, individuals in their 60s with at least 30 years of tenure have average account balances in excess of $185,000. The ratio of account balance to 1998 salary varies with salary, increasing slightly as earnings rise from $20,001 to $80,000, and falling a bit for salaries greater than $80,000. The increase in ratio likely reflects a greater propensity of higher-income participants to save, whereas the decline after $80,000 results from contribution and nondiscrimination rule constraints.

29 CFR 4044.55 - XRA when a participant must retire to receive a benefit.

Code of Federal Regulations, 2010 CFR

2010-07-01

... CORPORATION PLAN TERMINATIONS ALLOCATION OF ASSETS IN SINGLE-EMPLOYER PLANS Valuation of Benefits and Assets...) Applicability. Except as provided in § 4044.57, the plan administrator shall determine the XRA under this section when plan provisions or established plan practice require a participant to retire from his or her...

76 FR 74699 - Allocation of Assets in Single-Employer Plans; Valuation of Benefits and Assets; Expected...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-01

... a low, medium, or high probability of retiring early. The determination is based on the year a... the expected retirement age after the probability of early retirement has been determined using Table I. These tables establish, by probability category, the expected retirement age based on both the...

75 FR 74622 - Allocation of Assets in Single-Employer Plans; Valuation of Benefits and Assets; Expected...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-12-01

..., medium, or high probability of retiring early. The determination is based on the year a participant would... the expected retirement age after the probability of early retirement has been determined using Table I. These tables establish, by probability category, the expected retirement age based on both the...

26 CFR 1.996-7 - Carryover of DISC tax attributes.

Code of Federal Regulations, 2011 CFR

2011-04-01

... allocated. (iii) Any assets of the distributing DISC whose status as qualified export assets is limited by its accumulated DISC income (e.g., producer's loans described in § 1.993-4, Export-Import Bank and... constitutes accumulated DISC income. The unpaid balance of P's producer's loans is $80,000 all of which is...

77 FR 64170 - Self-Regulatory Organizations; NASDAQ OMX PHLX LLC; Notice of Filing and Immediate Effectiveness...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-18

...] simultaneously trade different asset classes within a single strategy. Phlx also notes that cash equities and... asset classes, Phlx is introducing a pricing incentive to encourage market participants that are active... equitable allocation of reasonable dues, fees and other charges among members and issuers and other persons...

26 CFR 1.168(i)-0 - Table of contents for the general asset account rules.

Code of Federal Regulations, 2013 CFR

2013-04-01

...) Source of ordinary income, gain, or loss. (i) Source determined by allocation and apportionment of depreciation allowed. (ii) Formula for determining foreign source income, gain, or loss. (3) Section 904(d... disposed or converted asset. (k) Effect of adjustments on prior dispositions. (l) Election. (1) Irrevocable...

26 CFR 1.168(i)-0 - Table of contents for the general asset account rules.

Code of Federal Regulations, 2014 CFR

2014-04-01

...) Source of ordinary income, gain, or loss. (i) Source determined by allocation and apportionment of depreciation allowed. (ii) Formula for determining foreign source income, gain, or loss. (3) Section 904(d... disposed or converted asset. (k) Effect of adjustments on prior dispositions. (l) Election. (1) Irrevocable...

26 CFR 1.168(i)-0 - Table of contents for the general asset account rules.

Code of Federal Regulations, 2012 CFR

2012-04-01

...) Source of ordinary income, gain, or loss. (i) Source determined by allocation and apportionment of depreciation allowed. (ii) Formula for determining foreign source income, gain, or loss. (3) Section 904(d... disposed or converted asset. (k) Effect of adjustments on prior dispositions. (l) Election. (1) Irrevocable...

Web-based Electronic Sharing and RE-allocation of Assets

DOE Office of Scientific and Technical Information (OSTI.GOV)

Leverett, Dave; Miller, Robert A.; Berlin, Gary J.

2002-09-09

The Electronic Asses Sharing Program is a web-based application that provides the capability for complex-wide sharing and reallocation of assets that are excess, under utilized, or un-utilized. through a web-based fron-end and supporting has database with a search engine, users can search for assets that they need, search for assets needed by others, enter assets they need, and enter assets they have available for reallocation. In addition, entire listings of available assets and needed assets can be viewed. The application is written in Java, the hash database and search engine are in Object-oriented Java Database Management (OJDBM). The application willmore » be hosted on an SRS-managed server outside the Firewall and access will be controlled via a protected realm. An example of the application can be viewed at the followinig (temporary) URL: http://idgdev.srs.gov/servlet/srs.weshare.WeShare« less

The JPL Resource Allocation Planning and Scheduling Office (RAPSO) process

NASA Technical Reports Server (NTRS)

Morris, D. G.; Burke, E. S.

2002-01-01

The Jet Propulsion Laboratory's Resource Allocation Planning and Scheduling Office is chartered to divide the limited amount of tracking hours of the Deep Space Network amongst the various missions in as equitable allotment as can be achieved. To best deal with this division of assets and time, an interactive process has evolved that promotes discussion with agreement by consensus between all of the customers that use the Deep Space Network (DSN). Aided by a suite of tools, the task of division of asset time is then performed in three stages of granularity. Using this approach, DSN loads are either forecasted or scheduled throughout a moving 10-year window.

A multi-assets artificial stock market with zero-intelligence traders

NASA Astrophysics Data System (ADS)

Ponta, L.; Raberto, M.; Cincotti, S.

2011-01-01

In this paper, a multi-assets artificial financial market populated by zero-intelligence traders with finite financial resources is presented. The market is characterized by different types of stocks representing firms operating in different sectors of the economy. Zero-intelligence traders follow a random allocation strategy which is constrained by finite resources, past market volatility and allocation universe. Within this framework, stock price processes exhibit volatility clustering, fat-tailed distribution of returns and reversion to the mean. Moreover, the cross-correlations between returns of different stocks are studied using methods of random matrix theory. The probability distribution of eigenvalues of the cross-correlation matrix shows the presence of outliers, similar to those recently observed on real data for business sectors. It is worth noting that business sectors have been recovered in our framework without dividends as only consequence of random restrictions on the allocation universe of zero-intelligence traders. Furthermore, in the presence of dividend-paying stocks and in the case of cash inflow added to the market, the artificial stock market points out the same structural results obtained in the simulation without dividends. These results suggest a significative structural influence on statistical properties of multi-assets stock market.

Developing Subdomain Allocation Algorithms Based on Spatial and Communicational Constraints to Accelerate Dust Storm Simulation

PubMed Central

Gui, Zhipeng; Yu, Manzhu; Yang, Chaowei; Jiang, Yunfeng; Chen, Songqing; Xia, Jizhe; Huang, Qunying; Liu, Kai; Li, Zhenlong; Hassan, Mohammed Anowarul; Jin, Baoxuan

2016-01-01

Dust storm has serious disastrous impacts on environment, human health, and assets. The developments and applications of dust storm models have contributed significantly to better understand and predict the distribution, intensity and structure of dust storms. However, dust storm simulation is a data and computing intensive process. To improve the computing performance, high performance computing has been widely adopted by dividing the entire study area into multiple subdomains and allocating each subdomain on different computing nodes in a parallel fashion. Inappropriate allocation may introduce imbalanced task loads and unnecessary communications among computing nodes. Therefore, allocation is a key factor that may impact the efficiency of parallel process. An allocation algorithm is expected to consider the computing cost and communication cost for each computing node to minimize total execution time and reduce overall communication cost for the entire simulation. This research introduces three algorithms to optimize the allocation by considering the spatial and communicational constraints: 1) an Integer Linear Programming (ILP) based algorithm from combinational optimization perspective; 2) a K-Means and Kernighan-Lin combined heuristic algorithm (K&K) integrating geometric and coordinate-free methods by merging local and global partitioning; 3) an automatic seeded region growing based geometric and local partitioning algorithm (ASRG). The performance and effectiveness of the three algorithms are compared based on different factors. Further, we adopt the K&K algorithm as the demonstrated algorithm for the experiment of dust model simulation with the non-hydrostatic mesoscale model (NMM-dust) and compared the performance with the MPI default sequential allocation. The results demonstrate that K&K method significantly improves the simulation performance with better subdomain allocation. This method can also be adopted for other relevant atmospheric and numerical modeling. PMID:27044039

Vast Volatility Matrix Estimation using High Frequency Data for Portfolio Selection*

PubMed Central

Fan, Jianqing; Li, Yingying; Yu, Ke

2012-01-01

Portfolio allocation with gross-exposure constraint is an effective method to increase the efficiency and stability of portfolios selection among a vast pool of assets, as demonstrated in Fan et al. (2011). The required high-dimensional volatility matrix can be estimated by using high frequency financial data. This enables us to better adapt to the local volatilities and local correlations among vast number of assets and to increase significantly the sample size for estimating the volatility matrix. This paper studies the volatility matrix estimation using high-dimensional high-frequency data from the perspective of portfolio selection. Specifically, we propose the use of “pairwise-refresh time” and “all-refresh time” methods based on the concept of “refresh time” proposed by Barndorff-Nielsen et al. (2008) for estimation of vast covariance matrix and compare their merits in the portfolio selection. We establish the concentration inequalities of the estimates, which guarantee desirable properties of the estimated volatility matrix in vast asset allocation with gross exposure constraints. Extensive numerical studies are made via carefully designed simulations. Comparing with the methods based on low frequency daily data, our methods can capture the most recent trend of the time varying volatility and correlation, hence provide more accurate guidance for the portfolio allocation in the next time period. The advantage of using high-frequency data is significant in our simulation and empirical studies, which consist of 50 simulated assets and 30 constituent stocks of Dow Jones Industrial Average index. PMID:23264708

77 FR 2240 - Allocation and Apportionment of Interest Expense

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-17

... allocation and apportionment of interest expense using the fair market value asset method. The temporary... law by the legislation commonly referred to as the Education Jobs and Medicaid Assistance Act (EJMAA... using the fair market value method. The text of those regulations also serves as the text of these...

77 FR 71321 - Allocation of Assets in Single-Employer Plans; Valuation of Benefits and Assets; Expected...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-30

... participant has a low, medium, or high probability of retiring early. The determination is based on the year a... the expected retirement age after the probability of early retirement has been determined using Table I. These tables establish, by probability category, the expected retirement age based on both the...

78 FR 72018 - Allocation of Assets in Single-Employer Plans; Valuation of Benefits and Assets; Expected...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-02

... has a low, medium, or high probability of retiring early. The determination is based on the year a... the expected retirement age after the probability of early retirement has been determined using Table I. These tables establish, by probability category, the expected retirement age based on both the...

26 CFR 1.1060-1 - Special allocation rules for certain asset acquisitions.

Code of Federal Regulations, 2013 CFR

2013-04-01

... connectors in limited quantities. It is a successful company with a reputation within the industry and among... establish an immediate presence in the microwave industry, an area in which it previously has not been... mix and to promote its presence in the microwave industry. P will not use the assets acquired from S...

26 CFR 1.1060-1 - Special allocation rules for certain asset acquisitions.

Code of Federal Regulations, 2012 CFR

2012-04-01

... connectors in limited quantities. It is a successful company with a reputation within the industry and among... establish an immediate presence in the microwave industry, an area in which it previously has not been... mix and to promote its presence in the microwave industry. P will not use the assets acquired from S...

26 CFR 1.1060-1 - Special allocation rules for certain asset acquisitions.

Code of Federal Regulations, 2014 CFR

2014-04-01

... connectors in limited quantities. It is a successful company with a reputation within the industry and among... establish an immediate presence in the microwave industry, an area in which it previously has not been... mix and to promote its presence in the microwave industry. P will not use the assets acquired from S...

26 CFR 1.1060-1 - Special allocation rules for certain asset acquisitions.

Code of Federal Regulations, 2011 CFR

2011-04-01

... connectors in limited quantities. It is a successful company with a reputation within the industry and among... establish an immediate presence in the microwave industry, an area in which it previously has not been... mix and to promote its presence in the microwave industry. P will not use the assets acquired from S...

26 CFR 1.1446-2 - Determining a partnership's effectively connected taxable income allocable to foreign partners...

Code of Federal Regulations, 2010 CFR

2010-04-01

... pro-rata share of the partnership's assets and liabilities for these purposes. For these purposes, the... 26 Internal Revenue 12 2010-04-01 2010-04-01 false Determining a partnership's effectively....1446-2 Determining a partnership's effectively connected taxable income allocable to foreign partners...

26 CFR 1.6015-3 - Allocation of deficiency for individuals who are no longer married, are legally separated, or are...

Code of Federal Regulations, 2011 CFR

2011-04-01

... spouse made a deliberate effort to avoid learning about the item in order to be shielded from liability...(d) applies. (3) Disqualified asset transfers—(i) In general. The portion of the deficiency for which... of any disqualified asset that was transferred to the requesting spouse. For purposes of this...

26 CFR 1.6015-3 - Allocation of deficiency for individuals who are no longer married, are legally separated, or are...

Code of Federal Regulations, 2013 CFR

2013-04-01

... spouse made a deliberate effort to avoid learning about the item in order to be shielded from liability...(d) applies. (3) Disqualified asset transfers—(i) In general. The portion of the deficiency for which... of any disqualified asset that was transferred to the requesting spouse. For purposes of this...

26 CFR 1.6015-3 - Allocation of deficiency for individuals who are no longer married, are legally separated, or are...

Code of Federal Regulations, 2014 CFR

2014-04-01

... spouse made a deliberate effort to avoid learning about the item in order to be shielded from liability...(d) applies. (3) Disqualified asset transfers—(i) In general. The portion of the deficiency for which... of any disqualified asset that was transferred to the requesting spouse. For purposes of this...

26 CFR 1.6015-3 - Allocation of deficiency for individuals who are no longer married, are legally separated, or are...

Code of Federal Regulations, 2012 CFR

2012-04-01

... spouse made a deliberate effort to avoid learning about the item in order to be shielded from liability...(d) applies. (3) Disqualified asset transfers—(i) In general. The portion of the deficiency for which... of any disqualified asset that was transferred to the requesting spouse. For purposes of this...

77 FR 32702 - Notice of Applications for Deregistration Under Section 8(f) of the Investment Company Act of 1940

Federal Register 2010, 2011, 2012, 2013, 2014

2012-06-01

... Allocation Fund and DWS Disciplined Market Neutral Fund, each a series of DWS Market Trust, based on net..., 2001, applicant transferred its assets to Scudder Latin America Fund, a series of Scudder International Fund, Inc. (811-642), based on net asset value. Expenses of approximately $30,713 incurred in...

Financial Crisis: A New Measure for Risk of Pension Fund Portfolios

PubMed Central

Cadoni, Marinella; Melis, Roberta; Trudda, Alessandro

2015-01-01

It has been argued that pension funds should have limitations on their asset allocation, based on the risk profile of the different financial instruments available on the financial markets. This issue proves to be highly relevant at times of market crisis, when a regulation establishing limits to risk taking for pension funds could prevent defaults. In this paper we present a framework for evaluating the risk level of a single financial instrument or a portfolio. By assuming that the log asset returns can be described by a multifractional Brownian motion, we evaluate the risk using the time dependent Hurst parameter H(t) which models volatility. To provide a measure of the risk, we model the Hurst parameter with a random variable with mixture of beta distribution. We prove the efficacy of the methodology by implementing it on different risk level financial instruments and portfolios. PMID:26086529

Financial Crisis: A New Measure for Risk of Pension Fund Portfolios.

PubMed

Cadoni, Marinella; Melis, Roberta; Trudda, Alessandro

2015-01-01

It has been argued that pension funds should have limitations on their asset allocation, based on the risk profile of the different financial instruments available on the financial markets. This issue proves to be highly relevant at times of market crisis, when a regulation establishing limits to risk taking for pension funds could prevent defaults. In this paper we present a framework for evaluating the risk level of a single financial instrument or a portfolio. By assuming that the log asset returns can be described by a multifractional Brownian motion, we evaluate the risk using the time dependent Hurst parameter H(t) which models volatility. To provide a measure of the risk, we model the Hurst parameter with a random variable with mixture of beta distribution. We prove the efficacy of the methodology by implementing it on different risk level financial instruments and portfolios.

Transportation Analysis Exploring Alternative Shipping of Marine Expeditionary Brigade Forces to Seabase in Contingency Response Scenarios

DTIC Science & Technology

2015-12-01

sub- functions: 20 • A.1 – Receive Warning Order • A.2 – Determine Available Transportation • A.3 – Allocate Equipment and Personnel Functions A...upon the Warning Order and allocate personnel and equipment to those transportation assets. Figure 6 depicts functional hierarchy of the Planning...determine available shipping and the allocation of equipment (e.g., cargo and vehicle capacities) to the available ships. In support of MEB

A decision framework for managing risk to airports from terrorist attack.

PubMed

Shafieezadeh, Abdollah; Cha, Eun J; Ellingwood, Bruce R

2015-02-01

This article presents an asset-level security risk management framework to assist stakeholders of critical assets with allocating limited budgets for enhancing their safety and security against terrorist attack. The proposed framework models the security system of an asset, considers various threat scenarios, and models the sequential decision framework of attackers during the attack. Its novel contributions are the introduction of the notion of partial neutralization of attackers by defenders, estimation of total loss from successful, partially successful, and unsuccessful actions of attackers at various stages of an attack, and inclusion of the effects of these losses on the choices made by terrorists at various stages of the attack. The application of the proposed method is demonstrated in an example dealing with security risk management of a U.S. commercial airport, in which a set of plausible threat scenarios and risk mitigation options are considered. It is found that a combination of providing blast-resistant cargo containers and a video surveillance system on the airport perimeter fence is the best option based on minimum expected life-cycle cost considering a 10-year service period. © 2014 Society for Risk Analysis.

26 CFR 20.2056(b)-5 - Marital deduction; life estate with power of appointment in surviving spouse.

Code of Federal Regulations, 2011 CFR

2011-04-01

... apportionment between the income and remainder beneficiaries of the total return of the trust and that meets the... absence, by the rules for the management of the trust property and the allocation of receipts and... assets and the rules provided for management of the trust that the allocation to income of such receipts...

How to recover from the financial market flu.

PubMed

Doody, Dennis

2008-05-01

The widely publicized subprime mortgage crisis and soaring crude oil prices have contributed to considerable market volatility in recent months, inducing queasiness among institutional investors. A four-layer approach to asset allocation that carefully considers assets, liquidity, currency, and risk may be the best strategy for maintaining an institution's financial health through today's volatile market. Perhaps the biggest challenge in such financially turbulent times is keeping fear in check.

Allocating capital systemwide. Who gets how much and why.

PubMed

Albertina, R M; Bakewell, T F

1989-05-01

The maturing of multi-institutional healthcare systems has created a need for systemwide approaches to managing investment in capital expenditures. Historically, hospitals have allocated capital using traditional capital budgeting techniques, including discounted cash flow, net present value, and internal rate of return methodologies. Now systems can use a multifactored model to allocate capital among member hospitals. This approach uses historical and projected financial and statistical information to quantify the risks member hospitals face. At the system level, capital allocation decisions should start with the strategic and financial planning processes. Catholic systems face an additional caveat: The system's mission statement drives the planning processes. Conceptually, the capital allocation plan is an attempt to value each hospital as a going, or viable, concern. From this perspective, value is understood as a function of expected return, the certainty of the return, and the return offered by similar investments in other hospital markets. Despite the many determinants of business and financial risk, much of the variance in asset market value can be explained through five assessment criteria: market demographics, position within the market, historical and projected financial performance, historical utilization, and third-party reimbursement mix.

Prioritization of the essentials in the spending patterns of Canadian households experiencing food insecurity.

PubMed

Fafard St-Germain, Andrée-Anne; Tarasuk, Valerie

2018-03-21

Food insecurity is a potent determinant of health and indicator of material deprivation in many affluent countries. Food insecurity is associated with compromises in food and housing expenditures, but how it relates to other expenditures is unknown. The present study described households' resource allocation over a 12-month period by food insecurity status. Expenditure data from the 2010 Survey of Household Spending were aggregated into four categories (basic needs, other necessities, discretionary, investments/assets) and ten sub-categories (food, clothing, housing, transportation, household/personal care, health/education, leisure, miscellaneous, personal insurance/pension, durables/assets). A four-level food insecurity status was created using the adult-specific items of the Household Food Security Survey Module. Mean dollars spent and budget share by food insecurity status were estimated with generalized linear models adjusted first for household size and composition, and subsequently for after-tax income quartiles. Canada. Population-based sample of households from the ten provinces (n 9050). Food-secure households had higher mean total expenditures than marginally, moderately and severely food-insecure households (P-trend <0·0001). As severity of food insecurity increased, households spent less on all categories and sub-categories, except transportation, but they allocated a larger budget share to basic needs and smaller shares to discretionary spending and investments/assets. The downward trends for dollars spent on basic needs and other necessities became non-significant after accounting for income, but the upward trend in the budget shares for basic needs persisted. The spending patterns of food-insecure households suggest that they prioritized essential needs above all else.

A Decision Support Tool For Thrift Savings Plan Investors

DTIC Science & Technology

2004-03-01

34:1797-1855 (December 1996). Canner, Niko and Gregory N. Mankiw , “An Asset Allocation Puzzle,” American Economic Review, 87:181-192 (March 1997... Economics in 1990 for his seminal research, Markowitz was the first researcher to analyze the overall risk of a portfolio of securities instead of the...bonds and 40% stocks, then this ratio should remain constant regardless of the total percentage of dollars dedicated to risky assets (Canner and Mankiw

The geological thought process: A help in developing business instincts

DOE Office of Scientific and Technical Information (OSTI.GOV)

Epstein, S.A.

1995-09-01

Since the beginning of modern-day geology it has been understood that the present is the key to the past. However, when attempting to apply current geological models one discovers that there are no exact look-alikes. Thus, the geological discipline inherently accepts modifications, omissions, and relatively large margins of error compared with engineering. Geologists are comfortable in a world of non-unique solutions. Thus the experience in working with numerous geological settings is extremely critical in selecting the most reasonable geological interpretations, often by using a composite of specific models. One can not simply replace a dynamic geologist`s life-time of experiences andmore » geologic instinct with simply a book-smart young upstart. Petroleum corporations accept geologic risk and manage it by drilling numerous wells in various geological provenances. Oil corporations have attempted to quantify and manage risk by using Monte Carlo simulations, thus invoking a formal discipline of risk. The acceptance of risk, results in an asset allocation approach to investing. Asset allocators attempt to reduce volatility and risk, inherently understanding that in any specific time interval anything can happen. Dollar cost averaging significantly reduces market risk over time, however it requires discipline and commitment. The single most important ingredient to a successful investing plan is to assign a reasonable holding period. Historically, a majority of the investment community demands instant gratification causing unneeded anxiety and failure. As in geology nothing can replace experience.« less

Risk-Based Prioritization of Research for Aviation Security Using Logic-Evolved Decision Analysis

NASA Technical Reports Server (NTRS)

Eisenhawer, S. W.; Bott, T. F.; Sorokach, M. R.; Jones, F. P.; Foggia, J. R.

2004-01-01

The National Aeronautics and Space Administration is developing advanced technologies to reduce terrorist risk for the air transportation system. Decision support tools are needed to help allocate assets to the most promising research. An approach to rank ordering technologies (using logic-evolved decision analysis), with risk reduction as the metric, is presented. The development of a spanning set of scenarios using a logic-gate tree is described. Baseline risk for these scenarios is evaluated with an approximate reasoning model. Illustrative risk and risk reduction results are presented.

Optimal Financial Knowledge and Wealth Inequality*

PubMed Central

Lusardi, Annamaria; Michaud, Pierre-Carl; Mitchell, Olivia S.

2017-01-01

We show that financial knowledge is a key determinant of wealth inequality in a stochastic lifecycle model with endogenous financial knowledge accumulation, where financial knowledge enables individuals to better allocate lifetime resources in a world of uncertainty and imperfect insurance. Moreover, because of how the U.S. social insurance system works, better-educated individuals have most to gain from investing in financial knowledge. Our parsimonious specification generates substantial wealth inequality relative to a one-asset saving model and one where returns on wealth depend on portfolio composition alone. We estimate that 30–40 percent of retirement wealth inequality is accounted for by financial knowledge. PMID:28555088

The Warfighter Associate: decision-support software agent for the management of intelligence, surveillance, and reconnaissance (ISR) assets

NASA Astrophysics Data System (ADS)

Buchler, Norbou; Marusich, Laura R.; Sokoloff, Stacey

2014-06-01

A unique and promising intelligent agent plug-in technology for Mission Command Systems— the Warfighter Associate (WA)— is described that enables individuals and teams to respond more effectively to the cognitive challenges of Mission Command, such as managing limited intelligence, surveillance, and reconnaissance (ISR) assets and information sharing in a networked environment. The WA uses a doctrinally-based knowledge representation to model role-specific workflows and continuously monitors the state of the operational environment to enable decision-support, delivering the right information to the right person at the right time. Capabilities include: (1) analyzing combat events reported in chat rooms and other sources for relevance based on role, order-of-battle, time, and geographic location, (2) combining seemingly disparate pieces of data into meaningful information, (3) driving displays to provide users with map based and textual descriptions of the current tactical situation, and (4) recommending courses of action with respect to necessary staff collaborations, execution of battle-drills, re-tasking of ISR assets, and required reporting. The results of a scenario-based human-in-the-loop experiment are reported. The underlying WA knowledge-graph representation serves as state traces, measuring aspects of Soldier decision-making performance (e.g. improved efficiency in allocating limited ISR assets) across runtime as dynamic events unfold on a simulated battlefield.

Allocation Methods for Use in the Accrual of Manpower Costs.

DTIC Science & Technology

1983-06-01

planners more frugal in their use of military manpower (OB1, 1973). Generally Accepted Accounting Principles ( GAAP ) recognize accrual basis accounting...time. Examples of this type of allocation are depreciation or amortization of long term assets (Fremgen and Liao, 1981). It is this second concept of...financing is that the relatively "soft dollars" of the future will make it easier to contribute. A "soft dollar" is the depreciated value of the dollar

Centralized Alert-Processing and Asset Planning for Sensorwebs

NASA Technical Reports Server (NTRS)

Castano, Rebecca; Chien, Steve A.; Rabideau, Gregg R.; Tang, Benyang

2010-01-01

A software program provides a Sensorweb architecture for alert-processing, event detection, asset allocation and planning, and visualization. It automatically tasks and re-tasks various types of assets such as satellites and robotic vehicles in response to alerts (fire, weather) extracted from various data sources, including low-level Webcam data. JPL has adapted cons iderable Sensorweb infrastructure that had been previously applied to NASA Earth Science applications. This NASA Earth Science Sensorweb has been in operational use since 2003, and has proven reliability of the Sensorweb technologies for robust event detection and autonomous response using space and ground assets. Unique features of the software include flexibility to a range of detection and tasking methods including those that require aggregation of data over spatial and temporal ranges, generality of the response structure to represent and implement a range of response campaigns, and the ability to respond rapidly.

Misfortune may be a blessing in disguise: Fairness perception and emotion modulate decision making.

PubMed

Liu, Hong-Hsiang; Hwang, Yin-Dir; Hsieh, Ming H; Hsu, Yung-Fong; Lai, Wen-Sung

2017-08-01

Fairness perception and equality during social interactions frequently elicit affective arousal and affect decision making. By integrating the dictator game and a probabilistic gambling task, this study aimed to investigate the effects of a negative experience induced by perceived unfairness on decision making using behavioral, model fitting, and electrophysiological approaches. Participants were randomly assigned to the neutral, harsh, or kind groups, which consisted of various asset allocation scenarios to induce different levels of perceived unfairness. The monetary gain was subsequently considered the initial asset in a negatively rewarded, probabilistic gambling task in which the participants were instructed to maintain as much asset as possible. Our behavioral results indicated that the participants in the harsh group exhibited increased levels of negative emotions but retained greater total game scores than the participants in the other two groups. Parameter estimation of a reinforcement learning model using a Bayesian approach indicated that these participants were more loss aversive and consistent in decision making. Data from simultaneous ERP recordings further demonstrated that these participants exhibited larger feedback-related negativity to unexpected outcomes in the gambling task, which suggests enhanced reward sensitivity and signaling of reward prediction error. Collectively, our study suggests that a negative experience may be an advantage in the modulation of reward-based decision making. © 2017 Society for Psychophysiological Research.

ASSET (Age/Sex Standardised Estimates of Treatment): A Research Model to Improve the Governance of Prescribing Funds in Italy

PubMed Central

Favato, Giampiero; Mariani, Paolo; Mills, Roger W.; Capone, Alessandro; Pelagatti, Matteo; Pieri, Vasco; Marcobelli, Alberico; Trotta, Maria G.; Zucchi, Alberto; Catapano, Alberico L.

2007-01-01

Background The primary objective of this study was to make the first step in the modelling of pharmaceutical demand in Italy, by deriving a weighted capitation model to account for demographic differences among general practices. The experimental model was called ASSET (Age/Sex Standardised Estimates of Treatment). Methods and Major Findings Individual prescription costs and demographic data referred to 3,175,691 Italian subjects and were collected directly from three Regional Health Authorities over the 12-month period between October 2004 and September 2005. The mean annual prescription cost per individual was similar for males (196.13 euro) and females (195.12 euro). After 65 years of age, the mean prescribing costs for males were significantly higher than females. On average, costs for a 75-year-old subject would be 12 times the costs for a 25–34 year-old subject if male, 8 times if female. Subjects over 65 years of age (22% of total population) accounted for 56% of total prescribing costs. The weightings explained approximately 90% of the evolution of total prescribing costs, in spite of the pricing and reimbursement turbulences affecting Italy in the 2000–2005 period. The ASSET weightings were able to explain only about 25% of the variation in prescribing costs among individuals. Conclusions If mainly idiosyncratic prescribing by general practitioners causes the unexplained variations, the introduction of capitation-based budgets would gradually move practices with high prescribing costs towards the national average. It is also possible, though, that the unexplained individual variation in prescribing costs is the result of differences in the clinical characteristics or socio-economic conditions of practice populations. If this is the case, capitation-based budgets may lead to unfair distribution of resources. The ASSET age/sex weightings should be used as a guide, not as the ultimate determinant, for an equitable allocation of prescribing resources to regional authorities and general practices. PMID:17611624

ASSET (Age/Sex Standardised Estimates of Treatment): a research model to improve the governance of prescribing funds in Italy.

PubMed

Favato, Giampiero; Mariani, Paolo; Mills, Roger W; Capone, Alessandro; Pelagatti, Matteo; Pieri, Vasco; Marcobelli, Alberico; Trotta, Maria G; Zucchi, Alberto; Catapano, Alberico L

2007-07-04

The primary objective of this study was to make the first step in the modelling of pharmaceutical demand in Italy, by deriving a weighted capitation model to account for demographic differences among general practices. The experimental model was called ASSET (Age/Sex Standardised Estimates of Treatment). Individual prescription costs and demographic data referred to 3,175,691 Italian subjects and were collected directly from three Regional Health Authorities over the 12-month period between October 2004 and September 2005. The mean annual prescription cost per individual was similar for males (196.13 euro) and females (195.12 euro). After 65 years of age, the mean prescribing costs for males were significantly higher than females. On average, costs for a 75-year-old subject would be 12 times the costs for a 25-34 year-old subject if male, 8 times if female. Subjects over 65 years of age (22% of total population) accounted for 56% of total prescribing costs. The weightings explained approximately 90% of the evolution of total prescribing costs, in spite of the pricing and reimbursement turbulences affecting Italy in the 2000-2005 period. The ASSET weightings were able to explain only about 25% of the variation in prescribing costs among individuals. If mainly idiosyncratic prescribing by general practitioners causes the unexplained variations, the introduction of capitation-based budgets would gradually move practices with high prescribing costs towards the national average. It is also possible, though, that the unexplained individual variation in prescribing costs is the result of differences in the clinical characteristics or socio-economic conditions of practice populations. If this is the case, capitation-based budgets may lead to unfair distribution of resources. The ASSET age/sex weightings should be used as a guide, not as the ultimate determinant, for an equitable allocation of prescribing resources to regional authorities and general practices.

Avoiding the Orange County Syndrome: Investment Guidelines Are Crucial.

ERIC Educational Resources Information Center

Brenner, Mark

1995-01-01

A sound investment policy for colleges and universities should address these factors: spending rate, return requirements, time horizon for evaluating fund performance, risk tolerance, asset allocation, delegation of responsibility, investment monitoring, and procedure for amending an investment plan. (MSE)

The internalist perspective on inevitable arbitrage in financial markets

NASA Astrophysics Data System (ADS)

Matsuno, Koichiro

2003-06-01

Arbitrage as an inevitable component of financial markets is due to the robust interplay between the continuous and the discontinuous stochastic variables appearing in the underlying dynamics. We present empirical evidence of such an arbitrage through the laboratory experiment on a portfolio management in the Japan-United States financial markets over the last several years, under the condition that the asset allocation was updated every day over the entire period. The portfolio management addressing the foreign exchange, the stock, and the bond markets was accomplished as referring to and processing only those empirical data that have been complied by and made available from the monetary authorities and the relevant financial markets so far. The averaged annual yield of the portfolio counted in the denomination of US currency was slightly greater than the averaged yield of the same physical assets counted in the denomination of Japanese currency, indicating the occurrence of arbitrage pricing in the financial markets. Daily update of asset allocation was conducted as referring to the predictive movement internal to the dynamics such that monetary flow variables, that are discontinuously stochastic upon the act of measurement internal to the markets, generate monetary stock variables that turn out to be both continuously stochastic and robust in the effect.

29 CFR 4044.4 - Violations.

Code of Federal Regulations, 2010 CFR

2010-07-01

...) Distributions in anticipation of termination. A distribution, transfer, or allocation of assets to a participant or to an insurance company for the benefit of a participant, made in anticipation of plan termination... anticipation of plan termination PBGC will consider all of the facts and circumstances including— (1) Any...

Inverse Statistics and Asset Allocation Efficiency

NASA Astrophysics Data System (ADS)

Bolgorian, Meysam

In this paper using inverse statistics analysis, the effect of investment horizon on the efficiency of portfolio selection is examined. Inverse statistics analysis is a general tool also known as probability distribution of exit time that is used for detecting the distribution of the time in which a stochastic process exits from a zone. This analysis was used in Refs. 1 and 2 for studying the financial returns time series. This distribution provides an optimal investment horizon which determines the most likely horizon for gaining a specific return. Using samples of stocks from Tehran Stock Exchange (TSE) as an emerging market and S&P 500 as a developed market, effect of optimal investment horizon in asset allocation is assessed. It is found that taking into account the optimal investment horizon in TSE leads to more efficiency for large size portfolios while for stocks selected from S&P 500, regardless of portfolio size, this strategy does not only not produce more efficient portfolios, but also longer investment horizons provides more efficiency.

Cost segregation of assets offers tax benefits.

PubMed

Grant, D A

2001-04-01

A cost-segregation study is an asset-reclassification strategy that accelerates tax-depreciation deductions. By using this strategy, healthcare facility owners can lower their current income-tax liability and increase current cash flow. Simply put, certain real estate is reclassified from long-lived real property to shorter-lived personal property for depreciation purposes. Depreciation deductions for the personal property then can be greatly accelerated, thereby producing greater present-value tax savings. An analysis of costs can be conducted from either detailed construction records, when such records are available, or by using qualified appraisers, architects, or engineers to perform the allocation analysis.

78 FR 39023 - ING Investments, LLC, et al.;

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-28

... portion of a Sub- Advised Series' assets, and (c) implement procedures reasonably designed to ensure that..., ING Series Fund, Inc., ING Strategic Allocation Portfolios, Inc., ING Variable Funds, ING Variable... Investment Company may offer one or more series of shares (each a ``Series'' and collectively, ``Series...

77 FR 74549 - Submission for OMB Review; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-14

... allocation of the purchase price among the transferred assets. Affected Public: Private Sector: Businesses or... Transactions With Foreign Trusts and on Large Foreign Gifts. Abstract: This notice provides guidance on the foreign trust and foreign gift information reporting provisions contained in the Small Business Job...

Accelerating Dust Storm Simulation by Balancing Task Allocation in Parallel Computing Environment

NASA Astrophysics Data System (ADS)

Gui, Z.; Yang, C.; XIA, J.; Huang, Q.; YU, M.

2013-12-01

Dust storm has serious negative impacts on environment, human health, and assets. The continuing global climate change has increased the frequency and intensity of dust storm in the past decades. To better understand and predict the distribution, intensity and structure of dust storm, a series of dust storm models have been developed, such as Dust Regional Atmospheric Model (DREAM), the NMM meteorological module (NMM-dust) and Chinese Unified Atmospheric Chemistry Environment for Dust (CUACE/Dust). The developments and applications of these models have contributed significantly to both scientific research and our daily life. However, dust storm simulation is a data and computing intensive process. Normally, a simulation for a single dust storm event may take several days or hours to run. It seriously impacts the timeliness of prediction and potential applications. To speed up the process, high performance computing is widely adopted. By partitioning a large study area into small subdomains according to their geographic location and executing them on different computing nodes in a parallel fashion, the computing performance can be significantly improved. Since spatiotemporal correlations exist in the geophysical process of dust storm simulation, each subdomain allocated to a node need to communicate with other geographically adjacent subdomains to exchange data. Inappropriate allocations may introduce imbalance task loads and unnecessary communications among computing nodes. Therefore, task allocation method is the key factor, which may impact the feasibility of the paralleling. The allocation algorithm needs to carefully leverage the computing cost and communication cost for each computing node to minimize total execution time and reduce overall communication cost for the entire system. This presentation introduces two algorithms for such allocation and compares them with evenly distributed allocation method. Specifically, 1) In order to get optimized solutions, a quadratic programming based modeling method is proposed. This algorithm performs well with small amount of computing tasks. However, its efficiency decreases significantly as the subdomain number and computing node number increase. 2) To compensate performance decreasing for large scale tasks, a K-Means clustering based algorithm is introduced. Instead of dedicating to get optimized solutions, this method can get relatively good feasible solutions within acceptable time. However, it may introduce imbalance communication for nodes or node-isolated subdomains. This research shows both two algorithms have their own strength and weakness for task allocation. A combination of the two algorithms is under study to obtain a better performance. Keywords: Scheduling; Parallel Computing; Load Balance; Optimization; Cost Model

Characterizing and Modeling the Cost of Rework in a Library of Reusable Software Components

NASA Technical Reports Server (NTRS)

Basili, Victor R.; Condon, Steven E.; ElEmam, Khaled; Hendrick, Robert B.; Melo, Walcelio

1997-01-01

In this paper we characterize and model the cost of rework in a Component Factory (CF) organization. A CF is responsible for developing and packaging reusable software components. Data was collected on corrective maintenance activities for the Generalized Support Software reuse asset library located at the Flight Dynamics Division of NASA's GSFC. We then constructed a predictive model of the cost of rework using the C4.5 system for generating a logical classification model. The predictor variables for the model are measures of internal software product attributes. The model demonstrates good prediction accuracy, and can be used by managers to allocate resources for corrective maintenance activities. Furthermore, we used the model to generate proscriptive coding guidelines to improve programming, practices so that the cost of rework can be reduced in the future. The general approach we have used is applicable to other environments.

Logistics hardware and services control system

NASA Technical Reports Server (NTRS)

Koromilas, A.; Miller, K.; Lamb, T.

1973-01-01

Software system permits onsite direct control of logistics operations, which include spare parts, initial installation, tool control, and repairable parts status and control, through all facets of operations. System integrates logistics actions and controls receipts, issues, loans, repairs, fabrications, and modifications and assets in predicting and allocating logistics parts and services effectively.

Organizations Advocating for Youth: The Local Advantage

ERIC Educational Resources Information Center

Deschenes, Sarah; McLaughlin, Milbrey; Newman, Anne

2008-01-01

Youth occupy a unique place in democratic society. They must primarily rely on others to speak on their behalf as decisions are made about the allocation of resources within and across various youth-serving institutions. Advocacy organizations comprise crucial representational assets for all youth, but America's poorest children and youth…

17 CFR 229.1113 - (Item 1113) Structure of the transaction.

Code of Federal Regulations, 2011 CFR

2011-04-01

... securities, and within each class, with respect to cash flows, credit enhancement or other support and any... narrative discussion of the allocation and priority structure of pool cash flows, present the flow of funds... any requirements directing cash flows from the pool assets (such as to reserve accounts, cash...

17 CFR 229.1113 - (Item 1113) Structure of the transaction.

Code of Federal Regulations, 2012 CFR

2012-04-01

... securities, and within each class, with respect to cash flows, credit enhancement or other support and any... narrative discussion of the allocation and priority structure of pool cash flows, present the flow of funds... any requirements directing cash flows from the pool assets (such as to reserve accounts, cash...

17 CFR 229.1113 - (Item 1113) Structure of the transaction.

Code of Federal Regulations, 2013 CFR

2013-04-01

... securities, and within each class, with respect to cash flows, credit enhancement or other support and any... narrative discussion of the allocation and priority structure of pool cash flows, present the flow of funds... any requirements directing cash flows from the pool assets (such as to reserve accounts, cash...

17 CFR 229.1113 - (Item 1113) Structure of the transaction.

Code of Federal Regulations, 2014 CFR

2014-04-01

... securities, and within each class, with respect to cash flows, credit enhancement or other support and any... narrative discussion of the allocation and priority structure of pool cash flows, present the flow of funds... any requirements directing cash flows from the pool assets (such as to reserve accounts, cash...

29 CFR 4044.2 - Definitions.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Sufficiency from PBGC and is able to close out by purchasing annuities in the private sector in accordance... 29 Labor 9 2010-07-01 2010-07-01 false Definitions. 4044.2 Section 4044.2 Labor Regulations... IN SINGLE-EMPLOYER PLANS Allocation of Assets General Provisions § 4044.2 Definitions. (a) The...

Soldier Decision-Making for Allocation of Intelligence, Surveillance, and Reconnaissance Assets

DTIC Science & Technology

2014-06-01

Judgments; also called Algoritmic or Statistical Judgements Computer Science , Psychology, and Statistics Actuarial or algorithmic...Jan. 2011. [17] R. M. Dawes, D. Faust, and P. E. Meehl, “Clinical versus Actuarial Judgment,” Science , vol. 243, no. 4899, pp. 1668–1674, 1989. [18...School of Computer Science

77 FR 20749 - Investment Company Advertising: Target Date Retirement Fund Names and Marketing

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-06

... Names and Marketing AGENCY: Securities and Exchange Commission. ACTION: Proposed rule; reopening of... use of the fund's name in marketing materials; require marketing materials for target date retirement... a statement that would highlight the fund's final asset allocation; require a statement in marketing...

78 FR 27444 - Forum Investment Advisors, LLC, et al.;

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-10

... securities into, and receive securities from, the series in connection with the purchase and redemption of... settlement date. \\5\\ In a forward commitment transaction, the buyer/seller enters into a contract to purchase... Investment Manager, will make investment decisions with respect to assets of each Fund allocated by the...

26 CFR 1.336-0 - Table of contents.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 355(d)(2) or (e)(2). (i) Old target—deemed asset disposition. (A) In general. (B) Gains and losses. (1) Gains. (2) Losses. (i) In general. (ii) Stock distributions. (iii) Amount and allocation of disallowed.... (2) Exception. (B) Gains and losses. (1) Gains. (2) Losses. (i) In general. (ii) Stock distributions...

Placing invasive species management in a spatiotemporal context.

PubMed

Baker, Christopher M; Bode, Michael

2016-04-01

Invasive species are a worldwide issue, both ecologically and economically. A large body of work focuses on various aspects of invasive species control, including how to allocate control efforts to eradicate an invasive population as cost effectively as possible: There are a diverse range of invasive species management problems, and past mathematical analyses generally focus on isolated examples, making it hard to identify and understand parallels between the different contexts. In this study, we use a single spatiotemporal model to tackle the problem of allocating control effort for invasive species when suppressing an island invasive species, and for long-term spatial suppression projects. Using feral cat suppression as an illustrative example, we identify the optimal resource allocation for island and mainland suppression projects. Our results demonstrate how using a single model to solve different problems reveals similar characteristics of the solutions in different scenarios. As well as illustrating the insights offered by linking problems through a spatiotemporal model, we also derive novel and practically applicable results for our case studies. For temporal suppression projects on islands, we find that lengthy projects are more cost effective and that rapid control projects are only economically cost effective when population growth rates are high or diminishing returns on control effort are low. When suppressing invasive species around conservation assets (e.g., national parks or exclusion fences), we find that the size of buffer zones should depend on the ratio of the species growth and spread rate.

Development and application of a model for the analysis of trades between space launch system operations and acquisition costs

NASA Astrophysics Data System (ADS)

Nix, Michael B.

2005-12-01

Early design decisions in the development of space launch systems determine the costs to acquire and operate launch systems. Some sources indicate that as much as 90% of life cycle costs are fixed by the end of the critical design review phase. System characteristics determined by these early decisions are major factors in the acquisition cost of flight hardware elements and facilities and influence operations costs through the amount of maintenance and support labor required to sustain system function. Operations costs are also dependent on post-development management decisions regarding how much labor will be deployed to meet requirements of market demand and ownership profit. The ability to perform early trade-offs between these costs is vital to the development of systems that have the necessary capacity to provide service and are profitable to operate. An Excel-based prototype model was developed for making early analyses of trade-offs between the costs to operate a space launch system and to acquire the necessary assets to meet a given set of operational requirements. The model, integrating input from existing models and adding missing capability, allows the user to make such trade-offs across a range of operations concepts (required flight rates, staffing levels, shifts per workday, workdays per week and per year, unreliability, wearout and depot maintenance) and the number, type and capability of assets (flight hardware elements, processing and supporting facilities and infrastructure). The costs and capabilities of hypothetical launch systems can be modeled as a function of interrelated turnaround times and labor resource levels, and asset loss and retirement. The number of flight components and facilities required can be calculated and the operations and acquisition costs compared for a specified scenario. Findings, based on the analysis of a hypothetical two stage to orbit, reusable, unmanned launch system, indicate that the model is suitable for the trade-off analyses desired. The minimum turnaround time/maximum labor allocation for specific hardware configurations and characteristics and corresponding asset requirements can be estimated. Either turnaround time or resources can be varied and the resulting operations and acquisition costs can be compared. Asset reliability, wearout and depot maintenance intervals and durations can be varied as well to analyze the effects on costs. Likewise, the effects on operations and acquisitions costs of the introduction of alternative technologies that affect reliability, maintainability and supportability in various hardware configurations can be evaluated.

How General are Risk Preferences? Choices under Uncertainty in Different Domains*

PubMed Central

Einav, Liran; Finkelstein, Amy; Pascu, Iuliana; Cullen, Mark R.

2011-01-01

We analyze the extent to which individuals’ choices over five employer-provided insurance coverage decisions and one 401(k) investment decision exhibit systematic patterns, as would be implied by a general utility component of risk preferences. We provide evidence consistent with an important domain-general component that operates across all insurance choices. We find a considerably weaker relationship between one's insurance decisions and 401(k) asset allocation, although this relationship appears larger for more “financially sophisticated” individuals. Estimates from a stylized coverage choice model suggest that up to thirty percent of our sample makes choices that may be consistent across all six domains. PMID:24634517

Performance improvement of optical CDMA networks with stochastic artificial bee colony optimization technique

NASA Astrophysics Data System (ADS)

Panda, Satyasen

2018-05-01

This paper proposes a modified artificial bee colony optimization (ABC) algorithm based on levy flight swarm intelligence referred as artificial bee colony levy flight stochastic walk (ABC-LFSW) optimization for optical code division multiple access (OCDMA) network. The ABC-LFSW algorithm is used to solve asset assignment problem based on signal to noise ratio (SNR) optimization in OCDM networks with quality of service constraints. The proposed optimization using ABC-LFSW algorithm provides methods for minimizing various noises and interferences, regulating the transmitted power and optimizing the network design for improving the power efficiency of the optical code path (OCP) from source node to destination node. In this regard, an optical system model is proposed for improving the network performance with optimized input parameters. The detailed discussion and simulation results based on transmitted power allocation and power efficiency of OCPs are included. The experimental results prove the superiority of the proposed network in terms of power efficiency and spectral efficiency in comparison to networks without any power allocation approach.

Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management

PubMed Central

Convertino, Matteo; Valverde, L. James

2013-01-01

Management of natural resources in coastal ecosystems is a complex process that is made more challenging by the need for stakeholders to confront the prospect of sea level rise and a host of other environmental stressors. This situation is especially true for coastal military installations, where resource managers need to balance conflicting objectives of environmental conservation against military mission. The development of restoration plans will necessitate incorporating stakeholder preferences, and will, moreover, require compliance with applicable federal/state laws and regulations. To promote the efficient allocation of scarce resources in space and time, we develop a portfolio decision analytic (PDA) framework that integrates models yielding policy-dependent predictions for changes in land cover and species metapopulations in response to restoration plans, under different climate change scenarios. In a manner that is somewhat analogous to financial portfolios, infrastructure and natural resources are classified as human and natural assets requiring management. The predictions serve as inputs to a Multi Criteria Decision Analysis model (MCDA) that is used to measure the benefits of restoration plans, as well as to construct Pareto frontiers that represent optimal portfolio allocations of restoration actions and resources. Optimal plans allow managers to maintain or increase asset values by contrasting the overall degradation of the habitat and possible increased risk of species decline against the benefits of mission success. The optimal combination of restoration actions that emerge from the PDA framework allows decision-makers to achieve higher environmental benefits, with equal or lower costs, than those achievable by adopting the myopic prescriptions of the MCDA model. The analytic framework presented here is generalizable for the selection of optimal management plans in any ecosystem where human use of the environment conflicts with the needs of threatened and endangered species. The PDA approach demonstrates the advantages of integrated, top-down management, versus bottom-up management approaches. PMID:23823331

Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management.

PubMed

Convertino, Matteo; Valverde, L James

2013-01-01

Management of natural resources in coastal ecosystems is a complex process that is made more challenging by the need for stakeholders to confront the prospect of sea level rise and a host of other environmental stressors. This situation is especially true for coastal military installations, where resource managers need to balance conflicting objectives of environmental conservation against military mission. The development of restoration plans will necessitate incorporating stakeholder preferences, and will, moreover, require compliance with applicable federal/state laws and regulations. To promote the efficient allocation of scarce resources in space and time, we develop a portfolio decision analytic (PDA) framework that integrates models yielding policy-dependent predictions for changes in land cover and species metapopulations in response to restoration plans, under different climate change scenarios. In a manner that is somewhat analogous to financial portfolios, infrastructure and natural resources are classified as human and natural assets requiring management. The predictions serve as inputs to a Multi Criteria Decision Analysis model (MCDA) that is used to measure the benefits of restoration plans, as well as to construct Pareto frontiers that represent optimal portfolio allocations of restoration actions and resources. Optimal plans allow managers to maintain or increase asset values by contrasting the overall degradation of the habitat and possible increased risk of species decline against the benefits of mission success. The optimal combination of restoration actions that emerge from the PDA framework allows decision-makers to achieve higher environmental benefits, with equal or lower costs, than those achievable by adopting the myopic prescriptions of the MCDA model. The analytic framework presented here is generalizable for the selection of optimal management plans in any ecosystem where human use of the environment conflicts with the needs of threatened and endangered species. The PDA approach demonstrates the advantages of integrated, top-down management, versus bottom-up management approaches.

The FASB explores accounting for future cash flows.

PubMed

Luecke, R W; Meeting, D T

2001-03-01

The FASB's Statement of Financial Accounting Concepts No. 7, Using Cash Flow Information and Present Value in Accounting Measurements (Statement No. 7), presents the board's views regarding how cash-flow information and present values should be used in accounting for future cash flows when information on fair values is not available. Statement No. 7 presents new concepts regarding how an asset's present value should be calculated and when the interest method of allocation should be used. The FASB proposes a present-value method that takes into account the degree of uncertainty associated with future cash flows among different assets and liabilities. The FASB also suggests that rather than use estimated cash flows (in which a single set of cash flows and a single interest rate is used to reflect the risk associated with an asset or liability), accountants should use expected cash flows (in which all expectations about possible cash flows are used) in calculating present values.

78 FR 1206 - Notice of Availability of Government-Owned Inventions; Available for Licensing

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-08

.... Patent No. 8,238,924: Real-Time Optimization of Allocation of Resources//U.S. Patent No. 7,685,207: Adaptive Web-Based Asset Control System. ADDRESSES: Requests for copies of the patents cited should be...: Patent application 12/650,413: Finite State Machine Architecture for Software Development (a system for...

29 CFR 2520.103-10 - Annual report financial schedules.

Code of Federal Regulations, 2014 CFR

2014-07-01

...-1(a)(2) or the report for a group insurance arrangement pursuant to § 2520.103-2 shall, as provided... of interest, collateral, par, or maturity value; (C) Cost; and (D) Current value, and, in the case of... by including the plan's allocable portion of the trust. (2) Assets acquired and disposed within the...

29 CFR 2520.103-10 - Annual report financial schedules.

Code of Federal Regulations, 2011 CFR

2011-07-01

...-1(a)(2) or the report for a group insurance arrangement pursuant to § 2520.103-2 shall, as provided... of interest, collateral, par, or maturity value; (C) Cost; and (D) Current value, and, in the case of... by including the plan's allocable portion of the trust. (2) Assets acquired and disposed within the...

29 CFR 2520.103-10 - Annual report financial schedules.

Code of Federal Regulations, 2013 CFR

2013-07-01

...-1(a)(2) or the report for a group insurance arrangement pursuant to § 2520.103-2 shall, as provided... of interest, collateral, par, or maturity value; (C) Cost; and (D) Current value, and, in the case of... by including the plan's allocable portion of the trust. (2) Assets acquired and disposed within the...

29 CFR 2520.103-10 - Annual report financial schedules.

Code of Federal Regulations, 2012 CFR

2012-07-01

...-1(a)(2) or the report for a group insurance arrangement pursuant to § 2520.103-2 shall, as provided... of interest, collateral, par, or maturity value; (C) Cost; and (D) Current value, and, in the case of... by including the plan's allocable portion of the trust. (2) Assets acquired and disposed within the...

29 CFR 2520.103-10 - Annual report financial schedules.

Code of Federal Regulations, 2010 CFR

2010-07-01

...-1(a)(2) or the report for a group insurance arrangement pursuant to § 2520.103-2 shall, as provided... of interest, collateral, par, or maturity value; (C) Cost; and (D) Current value, and, in the case of... by including the plan's allocable portion of the trust. (2) Assets acquired and disposed within the...

Indiana state highway cost allocation and revenue attribution study and estimation of travel by out\\0x2010of\\0x2010state vehicles on Indiana highways.

DOT National Transportation Integrated Search

2015-06-01

This study was commissioned by INDOT to investigate the cost responsibility and the revenue contribution of highway users with regard to the : upkeep of Indianas state and local highway infrastructure (pavements, bridges, safety assets, and mobili...

78 FR 30941 - Frank Russell Company, et al.; Notice of Application

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-23

... specific strategy. An Adviser will evaluate Money Managers, allocate assets to Discretionary Money Managers... Money Manager (as defined below), the name of the Fund's Adviser, or a trademark or trade name that is owned or publicly used to identify that Adviser, will precede the name of the Money Manager. 2. RIMCo, a...

12 CFR 3.32 - General risk weights.

Code of Federal Regulations, 2014 CFR

2014-01-01

... a percent of the appraised value of the property; (iii) Is not 90 days or more past due or carried... of the national bank or Federal savings association or in transit; to gold bullion held in the... vaults on an allocated basis, to the extent the gold bullion assets are offset by gold bullion...

19 CFR 351.524 - Allocation of benefit to a particular time period.

Code of Federal Regulations, 2011 CFR

2011-04-01

... the benefits are received if the total amount approved under the subsidy program is less than 0.5... renewable physical assets for the industry concerned as listed in the Internal Revenue Service's (“IRS... industry under investigation, subject to the requirement, in paragraph (d)(2)(ii) of this section, that the...

19 CFR 351.524 - Allocation of benefit to a particular time period.

Code of Federal Regulations, 2013 CFR

2013-04-01

... the benefits are received if the total amount approved under the subsidy program is less than 0.5... renewable physical assets for the industry concerned as listed in the Internal Revenue Service's (“IRS... industry under investigation, subject to the requirement, in paragraph (d)(2)(ii) of this section, that the...

76 FR 34590 - Bankruptcy Filing Date Treated as Plan Termination Date for Certain Purposes; Guaranteed Benefits...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-14

... PENSION BENEFIT GUARANTY CORPORATION 29 CFR Parts 4001, 4022, and 4044 RIN 1212-AA98 Bankruptcy Filing Date Treated as Plan Termination Date for Certain Purposes; Guaranteed Benefits; Allocation of Plan Assets; Pension Protection Act of 2006 AGENCY: Pension Benefit Guaranty Corporation. ACTION: Final...

An Economic Approach to Setting Contribution Limits in Qualified State-Sponsored Tuition Savings Plans.

ERIC Educational Resources Information Center

Ma, Jennifer; Warshawsky, Mark J.; Ameriks, John; Blohm, Julia A.

This study used an expected utility framework with a mean-lower partial moment specification for investor utility to determine the asset allocation and the allowable contribution limits for qualified state-sponsored tuition savings plans. Given the assumptions about state policymakers' perceptions of investor utility, the study determined the…

26 CFR 1.860A-0 - Outline of REMIC provisions.

Code of Federal Regulations, 2012 CFR

2012-04-01

... foreign persons. § 1.860C-2Determination of REMIC taxable income or net loss. (a) Treatment of gain or... gain or loss. (3) Basis of contributed assets allocated among interests. (i) In general. (ii...) Treatment of unrecognized gain or loss. (i) Unrecognized gain on regular interests. (ii) Unrecognized loss...

Public housing into private assets: wealth creation in urban China.

PubMed

Walder, Andrew G; He, Xiaobin

2014-07-01

State socialist economies provided public housing to urban citizens at nominal cost, while allocating larger and better quality apartments to individuals in elite occupations. In transitions to a market economy, ownership is typically transferred to existing occupants at deeply discounted prices, making home equity the largest component of household wealth. Housing privatization is therefore a potentially important avenue for the conversion of bureaucratic privilege into private wealth. We estimate the resulting inequalities with data from successive waves of a Chinese national income survey that details household assets and participation in housing programs. Access to privatization programs was relatively equal across urban residents in state sector occupations. Elite occupations had substantially greater wealth in the form of home equity shortly after privatization, due primarily to their prior allocations of newer and higher quality apartments. The resulting gaps in private wealth were nonetheless small by the standards of established market economies, and despite the inherent biases in the process, housing privatization distributed home equity widely across those who were resident in public housing immediately prior to privatization. Copyright © 2014 Elsevier Inc. All rights reserved.

Network versus portfolio structure in financial systems

NASA Astrophysics Data System (ADS)

Kobayashi, Teruyoshi

2013-10-01

The question of how to stabilize financial systems has attracted considerable attention since the global financial crisis of 2007-2009. Recently, Beale et al. [Proc. Natl. Acad. Sci. USA 108, 12647 (2011)] demonstrated that higher portfolio diversity among banks would reduce systemic risk by decreasing the risk of simultaneous defaults at the expense of a higher likelihood of individual defaults. In practice, however, a bank default has an externality in that it undermines other banks’ balance sheets. This paper explores how each of these different sources of risk, simultaneity risk and externality, contributes to systemic risk. The results show that the allocation of external assets that minimizes systemic risk varies with the topology of the financial network as long as asset returns have negative correlations. In the model, a well-known centrality measure, PageRank, reflects an appropriately defined “infectiveness” of a bank. An important result is that the most infective bank needs not always to be the safest bank. Under certain circumstances, the most infective node should act as a firewall to prevent large-scale collective defaults. The introduction of a counteractive portfolio structure will significantly reduce systemic risk.

Efficient Allocation of Resources for Defense of Spatially Distributed Networks Using Agent-Based Simulation.

PubMed

Kroshl, William M; Sarkani, Shahram; Mazzuchi, Thomas A

2015-09-01

This article presents ongoing research that focuses on efficient allocation of defense resources to minimize the damage inflicted on a spatially distributed physical network such as a pipeline, water system, or power distribution system from an attack by an active adversary, recognizing the fundamental difference between preparing for natural disasters such as hurricanes, earthquakes, or even accidental systems failures and the problem of allocating resources to defend against an opponent who is aware of, and anticipating, the defender's efforts to mitigate the threat. Our approach is to utilize a combination of integer programming and agent-based modeling to allocate the defensive resources. We conceptualize the problem as a Stackelberg "leader follower" game where the defender first places his assets to defend key areas of the network, and the attacker then seeks to inflict the maximum damage possible within the constraints of resources and network structure. The criticality of arcs in the network is estimated by a deterministic network interdiction formulation, which then informs an evolutionary agent-based simulation. The evolutionary agent-based simulation is used to determine the allocation of resources for attackers and defenders that results in evolutionary stable strategies, where actions by either side alone cannot increase its share of victories. We demonstrate these techniques on an example network, comparing the evolutionary agent-based results to a more traditional, probabilistic risk analysis (PRA) approach. Our results show that the agent-based approach results in a greater percentage of defender victories than does the PRA-based approach. © 2015 Society for Risk Analysis.

26 CFR 1.861-11T - Special rules for allocating and apportioning interest expense of an affiliated group of...

Code of Federal Regulations, 2010 CFR

2010-04-01

... or Z's direct assets is exclusively financial services income. The foreign source income generated by... computation of foreign source taxable income for purposes of section 904 (relating to various limitations on the foreign tax credit). Section 904 imposes separate foreign tax credit limitations on passive income...

12 CFR 324.32 - General risk weights.

Code of Federal Regulations, 2014 CFR

2014-01-01

... amount as a percent of the appraised value of the property; (iii) Is not 90 days or more past due or... owned and held in all offices of the FDIC-supervised institution or in transit; to gold bullion held in... allocated basis, to the extent the gold bullion assets are offset by gold bullion liabilities; and to...

19 CFR 351.524 - Allocation of benefit to a particular time period.

Code of Federal Regulations, 2014 CFR

2014-04-01

... the benefits are received if the total amount approved under the subsidy program is less than 0.5... assets for the industry concerned as listed in the Internal Revenue Service's (“IRS”) 1977 Class Life... do not reasonably reflect the company-specific AUL or the country-wide AUL for the industry under...

26 CFR 1.336-2 - Availability, mechanics, and consequences of section 336(e) election.

Code of Federal Regulations, 2014 CFR

2014-04-01

... target—deemed purchase. New target is treated as acquiring all of its assets from an unrelated person in... target allocates the consideration deemed paid in the transaction in the same manner as new target would...)(iii) of this section (deemed liquidation of old target), new target remains liable for the tax...

77 FR 74707 - Self-Regulatory Organizations; NYSE Arca, Inc.; Order Approving a Proposed Rule Change To List...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-17

... the Pring Turner Business Cycle ETF Under NYSE Arca Equities Rule 8.600 December 11, 2012. On October... Pring Turner Business Cycle ETF (``Fund''). The proposed rule change was published for comment in the... proprietary business cycle research, the Sub-Adviser proactively will change the Fund's asset allocation and...

29 CFR Appendix D to Part 4044 - Tables Used To Determine Expected Retirement Age

Code of Federal Regulations, 2010 CFR

2010-07-01

... 29 Labor 9 2010-07-01 2010-07-01 false Tables Used To Determine Expected Retirement Age D Appendix D to Part 4044 Labor Regulations Relating to Labor (Continued) PENSION BENEFIT GUARANTY CORPORATION PLAN TERMINATIONS ALLOCATION OF ASSETS IN SINGLE-EMPLOYER PLANS Pt. 4044, App. D Appendix D to Part...

Factors Affecting Wealth Accumulation in Hispanic Households: A Comparative Analysis of Stock and Home Asset Utilization

ERIC Educational Resources Information Center

Fontes, Angela; Kelly, Nicole

2013-01-01

This research addresses differences between Hispanic ("N" = 2,333) and White ("N" = 15,521) households in the ownership and allocation of two representative measures of wealth accumulation, stock and homeownership. Using data from the 2008 panel of the Survey of Income and Program Participation, this research estimates a…

The need for spatially explicit quantification of benefits in invasive-species management.

PubMed

Januchowski-Hartley, Stephanie R; Adams, Vanessa M; Hermoso, Virgilio

2018-04-01

Worldwide, invasive species are a leading driver of environmental change across terrestrial, marine, and freshwater environments and cost billions of dollars annually in ecological damages and economic losses. Resources limit invasive-species control, and planning processes are needed to identify cost-effective solutions. Thus, studies are increasingly considering spatially variable natural and socioeconomic assets (e.g., species persistence, recreational fishing) when planning the allocation of actions for invasive-species management. There is a need to improve understanding of how such assets are considered in invasive-species management. We reviewed over 1600 studies focused on management of invasive species, including flora and fauna. Eighty-four of these studies were included in our final analysis because they focused on the prioritization of actions for invasive species management. Forty-five percent (n = 38) of these studies were based on spatial optimization methods, and 35% (n = 13) accounted for spatially variable assets. Across all 84 optimization studies considered, 27% (n = 23) explicitly accounted for spatially variable assets. Based on our findings, we further explored the potential costs and benefits to invasive species management when spatially variable assets are explicitly considered or not. To include spatially variable assets in decision-making processes that guide invasive-species management there is a need to quantify environmental responses to invasive species and to enhance understanding of potential impacts of invasive species on different natural or socioeconomic assets. We suggest these gaps could be filled by systematic reviews, quantifying invasive species impacts on native species at different periods, and broadening sources and enhancing sharing of knowledge. © 2017 Society for Conservation Biology.

Adaptive model training system and method

DOEpatents

Bickford, Randall L; Palnitkar, Rahul M; Lee, Vo

2014-04-15

An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one predefined criterion of good data quality while rejecting asset operating data values that fail to meet at least the one predefined criterion of good data quality; and recalibrating a previously trained or calibrated model having a learned scope of normal operation of the asset by utilizing the asset operating data values that meet at least the one predefined criterion of good data quality for adjusting the learned scope of normal operation of the asset for defining a recalibrated model having the adjusted learned scope of normal operation of the asset.

Adaptive model training system and method

DOEpatents

Bickford, Randall L; Palnitkar, Rahul M

2014-11-18

An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one predefined criterion of good data quality while rejecting asset operating data values that fail to meet at least the one predefined criterion of good data quality; and recalibrating a previously trained or calibrated model having a learned scope of normal operation of the asset by utilizing the asset operating data values that meet at least the one predefined criterion of good data quality for adjusting the learned scope of normal operation of the asset for defining a recalibrated model having the adjusted learned scope of normal operation of the asset.

Brain Activity in Fairness Consideration during Asset Distribution: Does the Initial Ownership Play a Role?

PubMed Central

Wu, Yin; Hu, Jie; van Dijk, Eric; Leliveld, Marijke C.; Zhou, Xiaolin

2012-01-01

Previous behavioral studies have shown that initial ownership influences individuals’ fairness consideration and other-regarding behavior. However, it is not entirely clear whether initial ownership influences the brain activity when a recipient evaluates the fairness of asset distribution. In this study, we randomly assigned the bargaining property (monetary reward) to either the allocator or the recipient in the ultimatum game and let participants of the study, acting as recipients, receive either disadvantageous unequal, equal, or advantageous unequal offers from allocators while the event-related potentials (ERPs) were recorded. Behavioral results showed that participants were more likely to reject disadvantageous unequal and equal offers when they initially owned the property as compared to when they did not. The two types of unequal offers evoked more negative going ERPs (the MFN) than the equal offers in an early time window and the differences were not modulated by the initial ownership. In a late time window, however, the P300 responses to division schemes were affected not only by the type of unequal offers but also by whom the property was initially assigned to. These findings suggest that while the MFN may function as a general mechanism that evaluates whether the offer is consistent or inconsistent with the equity rule, the P300 is sensitive to top-down controlled processes, into which factors related to the allocation of attentional resources, including initial ownership and personal interests, come to play. PMID:22761850

Virtual Sensor Web Architecture

NASA Astrophysics Data System (ADS)

Bose, P.; Zimdars, A.; Hurlburt, N.; Doug, S.

2006-12-01

NASA envisions the development of smart sensor webs, intelligent and integrated observation network that harness distributed sensing assets, their associated continuous and complex data sets, and predictive observation processing mechanisms for timely, collaborative hazard mitigation and enhanced science productivity and reliability. This paper presents Virtual Sensor Web Infrastructure for Collaborative Science (VSICS) Architecture for sustained coordination of (numerical and distributed) model-based processing, closed-loop resource allocation, and observation planning. VSICS's key ideas include i) rich descriptions of sensors as services based on semantic markup languages like OWL and SensorML; ii) service-oriented workflow composition and repair for simple and ensemble models; event-driven workflow execution based on event-based and distributed workflow management mechanisms; and iii) development of autonomous model interaction management capabilities providing closed-loop control of collection resources driven by competing targeted observation needs. We present results from initial work on collaborative science processing involving distributed services (COSEC framework) that is being extended to create VSICS.

Economic security: an essential component of recovery.

PubMed

Cook, Judith A; Mueser, Kim T

2013-03-01

People with psychiatric disabilities often face complex financial situations that make them unable to exercise choice in how their financial resources are allocated to needs including health care, housing, education, leisure pursuits, and other important life activities. One avenue to address these barriers is by helping people increase their financial literacy or knowledge of how to manage and budget their money effectively, accumulate assets, and reduce or deal with debt. However, our field has not focused sufficient attention on improving the financial literacy of the people we serve. Unfortunately, people with mental illness are significantly less likely to have any savings than those without mental illness. This makes them excellent candidates for state and federal programs that help low-income individuals accumulate savings that are exempt from asset limits for all federal means-tested programs. Growing out of these efforts, a field known as "asset-based welfare" has evolved to understand the role of assets in the promotion of individual and collective welfare. In an uncertain economy, the time is right for the field of psychiatric rehabilitation to expand its focus to include community and economic development activities that promote financial security. PsycINFO Database Record (c) 2013 APA, all rights reserved

26 CFR 1.409(p)-1T - Prohibited allocations of securities in an S corporation (temporary).

Code of Federal Regulations, 2012 CFR

2012-04-01

....4975-11(c) and (d) of this chapter) that, for the nonallocation year, would otherwise have been added... the plan year. Thus, the fair market value of assets in the disqualified person's account that... on the value of the stock of the S corporation, such as appreciation in such value. Thus, synthetic...

26 CFR 1.409(p)-1T - Prohibited allocations of securities in an S corporation (temporary).

Code of Federal Regulations, 2013 CFR

2013-04-01

....4975-11(c) and (d) of this chapter) that, for the nonallocation year, would otherwise have been added... the plan year. Thus, the fair market value of assets in the disqualified person's account that... on the value of the stock of the S corporation, such as appreciation in such value. Thus, synthetic...

26 CFR 1.409(p)-1T - Prohibited allocations of securities in an S corporation (temporary).

Code of Federal Regulations, 2011 CFR

2011-04-01

....4975-11(c) and (d) of this chapter) that, for the nonallocation year, would otherwise have been added... the plan year. Thus, the fair market value of assets in the disqualified person's account that... on the value of the stock of the S corporation, such as appreciation in such value. Thus, synthetic...

29 CFR Appendix B to Part 4044 - Interest Rates Used To Value Benefits

Code of Federal Regulations, 2010 CFR

2010-07-01

... 29 Labor 9 2010-07-01 2010-07-01 false Interest Rates Used To Value Benefits B Appendix B to Part... TERMINATIONS ALLOCATION OF ASSETS IN SINGLE-EMPLOYER PLANS Pt. 4044, App. B Appendix B to Part 4044—Interest Rates Used To Value Benefits [This table sets forth, for each indicated calendar month, the interest...

26 CFR 1.861-8 - Computation of taxable income from sources within the United States and from other sources and...

Code of Federal Regulations, 2014 CFR

2014-04-01

... in taxable years beginning before January 1, 1988. (7) Losses on the sale, exchange, or other disposition of property—(i) Allocation. The deduction allowed for loss recognized on the sale, exchange, or... asset or property during the taxable year or years immediately preceding the sale, exchange, or other...

26 CFR 1.861-8 - Computation of taxable income from sources within the United States and from other sources and...

Code of Federal Regulations, 2013 CFR

2013-04-01

... in taxable years beginning before January 1, 1988. (7) Losses on the sale, exchange, or other disposition of property—(i) Allocation. The deduction allowed for loss recognized on the sale, exchange, or... asset or property during the taxable year or years immediately preceding the sale, exchange, or other...

26 CFR 1.861-8 - Computation of taxable income from sources within the United States and from other sources and...

Code of Federal Regulations, 2012 CFR

2012-04-01

... in taxable years beginning before January 1, 1988. (7) Losses on the sale, exchange, or other disposition of property—(i) Allocation. The deduction allowed for loss recognized on the sale, exchange, or... asset or property during the taxable year or years immediately preceding the sale, exchange, or other...

26 CFR 1.861-8 - Computation of taxable income from sources within the United States and from other sources and...

Code of Federal Regulations, 2011 CFR

2011-04-01

... in taxable years beginning before January 1, 1988. (7) Losses on the sale, exchange, or other disposition of property—(i) Allocation. The deduction allowed for loss recognized on the sale, exchange, or... asset or property during the taxable year or years immediately preceding the sale, exchange, or other...

26 CFR 1.861-9 - Allocation and apportionment of interest expense.

Code of Federal Regulations, 2010 CFR

2010-04-01

... of such an election, other than in conjunction with an election to use the fair market value method... further guidance, see § 1.861-9T(a) through (f)(3)(i). (f)(3)(ii) Manner of election. The election shall... corporate shareholders. (ii) Manner of election. The election to use the asset method described in § 1.861...

Healthcare benefits linked with Below Poverty Line registration in India: Observations from Maharashtra Anaemia Study (MAS).

PubMed

Ahankari, Anand; Fogarty, Andrew; Tata, Laila; Myles, Puja

2017-01-01

A 2015 Lancet paper by Patel et al. on healthcare access in India comprehensively discussed national health programmes where some benefits are linked with the country's Below Poverty Line (BPL) registration scheme. BPL registration aims to support poor families by providing free/subsidised healthcare. Technical issues in obtaining BPL registration by poor families have been previously reported in the Indian literature; however there are no data on family assets of BPL registrants. Here, we provide evidence of family-level assets among BPL registration holders (and non-BPL households) using original research data from the Maharashtra Anaemia Study (MAS). Social and health data from 287 pregnant women and 891 adolescent girls (representing 1178 family households) across 34 villages in Maharashtra state, India, were analysed. Several assets were shown to be similarly distributed between BPL and non-BPL households; a large proportion of families who would probably be eligible were not registered, whereas BPL-registered families often had significant assets that should not make them eligible. This is likely to be the first published evidence where asset distribution such as agricultural land, housing structures and livestock are compared between BPL and non-BPL households in a rural population. These findings may help planning BPL administration to allocate health benefits equitably, which is an integral part of national health programmes.

On meeting capital requirements with a chance-constrained optimization model.

PubMed

Atta Mills, Ebenezer Fiifi Emire; Yu, Bo; Gu, Lanlan

2016-01-01

This paper deals with a capital to risk asset ratio chance-constrained optimization model in the presence of loans, treasury bill, fixed assets and non-interest earning assets. To model the dynamics of loans, we introduce a modified CreditMetrics approach. This leads to development of a deterministic convex counterpart of capital to risk asset ratio chance constraint. We pursue the scope of analyzing our model under the worst-case scenario i.e. loan default. The theoretical model is analyzed by applying numerical procedures, in order to administer valuable insights from a financial outlook. Our results suggest that, our capital to risk asset ratio chance-constrained optimization model guarantees banks of meeting capital requirements of Basel III with a likelihood of 95 % irrespective of changes in future market value of assets.

Asset Allocation and Optimal Contract for Delegated Portfolio Management

NASA Astrophysics Data System (ADS)

Liu, Jingjun; Liang, Jianfeng

This article studies the portfolio selection and the contracting problems between an individual investor and a professional portfolio manager in a discrete-time principal-agent framework. Portfolio selection and optimal contracts are obtained in closed form. The optimal contract was composed with the fixed fee, the cost, and the fraction of excess expected return. The optimal portfolio is similar to the classical two-fund separation theorem.

26 CFR 1.861-8 - Computation of taxable income from sources within the United States and from other sources and...

Code of Federal Regulations, 2010 CFR

2010-04-01

... income. [Reserved]. For guidance, see § 1.861-8T(c)(1). (2) Apportionment based on assets. [Reserved.... [Reserved]. For guidance, see § 1.861-8T(d)(2). (e) Allocation and apportionment of certain deductions—(1... section. (2) Interest. [Reserved]. For guidance, see § 1.861-8T(e)(2). (3) Research and experimental...

Change-Based Satellite Monitoring Using Broad Coverage and Targetable Sensing

NASA Technical Reports Server (NTRS)

Chien, Steve A.; Tran, Daniel Q.; Doubleday, Joshua R.; Doggett, Thomas

2013-01-01

A generic software framework analyzes data from broad coverage sweeps or general larger areas of interest. Change detection methods are used to extract subsets of directed swath areas that intersect areas of change. These areas are prioritized and allocated to targetable assets. This method is deployed in an automatic fashion, and has operated without human monitoring or intervention for sustained periods of time (months).

Optimizing the Army’s Aerial Reconnaissance and Surveillance Asset Mix via the Joint Platform Allocation Tool (JPAT)

DTIC Science & Technology

2013-08-01

OF FIGURES Figure 1. Three example systems composed of platforms P1, P2, and P3, and sensors SN1, SN2 , SN3, and SN4...sensors SN1, SN2 , SN3, and SN4. 4 Figure 2. An example configuration consisting of equipment derived from multiple systems. At times, it may be

Selection of asset investment models by hospitals: examination of influencing factors, using Switzerland as an example.

PubMed

Eicher, Bernhard

2016-10-01

Hospitals are responsible for a remarkable part of the annual increase in healthcare expenditure. This article examines one of the major cost drivers, the expenditure for investment in hospital assets. The study, conducted in Switzerland, identifies factors that influence hospitals' investment decisions. A suggestion on how to categorize asset investment models is presented based on the life cycle of an asset, and its influencing factors defined based on transaction cost economics. The influence of five factors (human asset specificity, physical asset specificity, uncertainty, bargaining power, and privacy of ownership) on the selection of an asset investment model is examined using a two-step fuzzy-set Qualitative Comparative Analysis. The research shows that outsourcing-oriented asset investment models are particularly favored in the presence of two combinations of influencing factors: First, if technological uncertainty is high and both human asset specificity and bargaining power of a hospital are low. Second, if assets are very specific, technological uncertainty is high and there is a private hospital with low bargaining power, outsourcing-oriented asset investment models are favored too. Using Qualitative Comparative Analysis, it can be demonstrated that investment decisions of hospitals do not depend on isolated influencing factors but on a combination of factors. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

A single question about a respondent's perceived financial ability to pay monthly bills explains more variance in health utility scores than absolute income and assets questions.

PubMed

Hanmer, Janel; Cherepanov, Dasha

2016-09-01

To evaluate a general question about ability to meet monthly bills as an alternative to direct questions about income and assets in health utility studies. We used data from the National Health Measurement Study-a US nationally representative telephone survey collected in 2005-2006. It included health utility measures (EuroQol-5D-3L, Health Utilities Index Mark 3, Short Form-6D, and Quality of Well-being Index) and household income, assets, and financial ability to meet monthly bills questions. Each utility score was regressed on: income and assets (Model 1); difficulty paying bills (DPB) (Model 2); income, assets, and DPB (Model 3). All models used survey weights and adjusted for demographics and education. Among 3666 respondents, as income and assets increased, DPB decreased. The DPB question had fewer missing values (n = 30) than income (n = 311) or assets (n = 373). Model 2 (DPB only) explained more variance in health utility than Model 1 (income and assets only). Including all measures (Model 3) had very modest improvement in R (2), e.g., values were 0.112 (Model 1), 0.166 (Model 2), and 0.175 (Model 3) for EuroQol-5D-3L. The single question on DPB yields more information and has less missing values than the traditionally used income and assets questions.

Dynamic data filtering system and method

DOEpatents

Bickford, Randall L; Palnitkar, Rahul M

2014-04-29

A computer-implemented dynamic data filtering system and method for selectively choosing operating data of a monitored asset that modifies or expands a learned scope of an empirical model of normal operation of the monitored asset while simultaneously rejecting operating data of the monitored asset that is indicative of excessive degradation or impending failure of the monitored asset, and utilizing the selectively chosen data for adaptively recalibrating the empirical model to more accurately monitor asset aging changes or operating condition changes of the monitored asset.

Mobile infostation network technology

NASA Astrophysics Data System (ADS)

Rajappan, Gowri; Acharya, Joydeep; Liu, Hongbo; Mandayam, Narayan; Seskar, Ivan; Yates, Roy

2006-05-01

Inefficient use of network resources on the battlefield is a serious liability: if an asset communicates with the network command for data-a terrain map, for instance-it ties up the end-to-end network resources. When many such assets contend for data simultaneously, traffic is limited by the slowest link along the path from the network command to the asset. A better approach is for a local server, known as an infostation, to download data on an anticipated-need basis when the network load is low. The infostation can then dump data when needed to the assets over a high-speed wireless connection. The infostation serves the local assets over an OFDM-based wireless data link that has MIMO enhancements for high data rate and robustness. We aim for data rate in excess of 100 Mbps, spectral efficiency in excess of 5 bits/sec/Hz, and robustness to poor channel conditions and jammers. We propose an adaptive physical layer that determines power levels, modulation schemes, and the MIMO enhancements to use based on the channel state and the level of interference in the system. We also incorporate the idea of superuser: a user who is allowed preferential use of the high data rate link. We propose a MAC that allows for this priority-based bandwidth allocation scheme. The proposed infostation MAC is integrated tightly with the physical layer through a cross-layer design. We call the proposed infostation PHY, MAC, and network technology, collectively, as the Mobile Infostation Network Technology (MINT).

Framework for modeling high-impact, low-frequency power grid events to support risk-informed decisions

DOE Office of Scientific and Technical Information (OSTI.GOV)

Veeramany, Arun; Unwin, Stephen D.; Coles, Garill A.

2016-06-25

Natural and man-made hazardous events resulting in loss of grid infrastructure assets challenge the security and resilience of the electric power grid. However, the planning and allocation of appropriate contingency resources for such events requires an understanding of their likelihood and the extent of their potential impact. Where these events are of low likelihood, a risk-informed perspective on planning can be difficult, as the statistical basis needed to directly estimate the probabilities and consequences of their occurrence does not exist. Because risk-informed decisions rely on such knowledge, a basis for modeling the risk associated with high-impact, low-frequency events (HILFs) ismore » essential. Insights from such a model indicate where resources are most rationally and effectively expended. A risk-informed realization of designing and maintaining a grid resilient to HILFs will demand consideration of a spectrum of hazards/threats to infrastructure integrity, an understanding of their likelihoods of occurrence, treatment of the fragilities of critical assets to the stressors induced by such events, and through modeling grid network topology, the extent of damage associated with these scenarios. The model resulting from integration of these elements will allow sensitivity assessments based on optional risk management strategies, such as alternative pooling, staging and logistic strategies, and emergency contingency planning. This study is focused on the development of an end-to-end HILF risk-assessment framework. Such a framework is intended to provide the conceptual and overarching technical basis for the development of HILF risk models that can inform decision-makers across numerous stakeholder groups in directing resources optimally towards the management of risks to operational continuity.« less

The Q theory of investment, the capital asset pricing model, and asset valuation: a synthesis.

PubMed

McDonald, John F

2004-05-01

The paper combines Tobin's Q theory of real investment with the capital asset pricing model to produce a new and relatively simple procedure for the valuation of real assets using the income approach. Applications of the new method are provided.

Global Sensor Management: Military Asset Allocation

DTIC Science & Technology

2009-10-06

solution (referred to as moves). A similar approach has been suggested by Zweben et al. (1993), who use a local search base metaheuristic , specifically...trapped in a local optimum. Hansen and Mladenovic (1998) describe the concept of variable neighborhood local search algorithms , and describe an...Mataric and G.S. Sukhatme (2002). “An incremental deployment algorithm for mobile robot teams,” Proceedings of the 2002 IEEE/RSJ Intl. Conference on

A Methodology for Improving the Shipyard Planning Process: Using KVA Analysis, Risk Simulation and Strategic Real Options

DTIC Science & Technology

2006-09-30

allocated to intangible assets. With Proctor & Gamble’s $53.5 billion acquisition of Gillette , $31.5 billion or 59% of the total purchase price was... outsourcing , alliances, joint ventures) • Compound Option (platform options) • Sequential Options (stage-gate development, R&D, phased...Comparisons • RO/KVA could enhance outsourcing comparisons between the Government’s Most Efficient Organization (MEO) and private-sector

Learned Tactics for Asset Allocation

DTIC Science & Technology

2013-06-01

based on off-policy and on-policy tempo - ral difference learning [6, 31, 47]. The basic prin- ciple that unifies MARL techniques is to identify and...patterns with regu- larities such as symmetry, repetition, and repetition with variation [49, 50, 54]. For example, simply by in- cluding a Gaussian...tactics and policies while still exhibiting variation across the policy geometry. In other words, policies are spread across the substrate in a

Framework for Modeling High-Impact, Low-Frequency Power Grid Events to Support Risk-Informed Decisions

DOE Office of Scientific and Technical Information (OSTI.GOV)

Veeramany, Arun; Unwin, Stephen D.; Coles, Garill A.

2015-12-03

Natural and man-made hazardous events resulting in loss of grid infrastructure assets challenge the electric power grid’s security and resilience. However, the planning and allocation of appropriate contingency resources for such events requires an understanding of their likelihood and the extent of their potential impact. Where these events are of low likelihood, a risk-informed perspective on planning can be problematic as there exists an insufficient statistical basis to directly estimate the probabilities and consequences of their occurrence. Since risk-informed decisions rely on such knowledge, a basis for modeling the risk associated with high-impact low frequency events (HILFs) is essential. Insightsmore » from such a model can inform where resources are most rationally and effectively expended. The present effort is focused on development of a HILF risk assessment framework. Such a framework is intended to provide the conceptual and overarching technical basis for the development of HILF risk models that can inform decision makers across numerous stakeholder sectors. The North American Electric Reliability Corporation (NERC) 2014 Standard TPL-001-4 considers severe events for transmission reliability planning, but does not address events of such severity that they have the potential to fail a substantial fraction of grid assets over a region, such as geomagnetic disturbances (GMD), extreme seismic events, and coordinated cyber-physical attacks. These are beyond current planning guidelines. As noted, the risks associated with such events cannot be statistically estimated based on historic experience; however, there does exist a stable of risk modeling techniques for rare events that have proven of value across a wide range of engineering application domains. There is an active and growing interest in evaluating the value of risk management techniques in the State transmission planning and emergency response communities, some of this interest in the context of grid modernization activities. The availability of a grid HILF risk model, integrated across multi-hazard domains which, when interrogated, can support transparent, defensible and effective decisions, is an attractive prospect among these communities. In this report, we document an integrated HILF risk framework intended to inform the development of risk models. These models would be based on the systematic and comprehensive (to within scope) characterization of hazards to the level of detail required for modeling risk, identification of the stressors associated with the hazards (i.e., the means of impacting grid and supporting infrastructure), characterization of the vulnerability of assets to these stressors and the probabilities of asset compromise, the grid’s dynamic response to the asset failures, and assessment of subsequent severities of consequence with respect to selected impact metrics, such as power outage duration and geographic reach. Specifically, the current framework is being developed to;1. Provide the conceptual and overarching technical paradigms for the development of risk models; 2. Identify the classes of models required to implement the framework - providing examples of existing models, and also identifying where modeling gaps exist; 3. Identify the types of data required, addressing circumstances under which data are sparse and the formal elicitation of informed judgment might be required; and 4. Identify means by which the resultant risk models might be interrogated to form the necessary basis for risk management.« less

A Methodology for Dynamic Security Risk Quantification and Optimal Resource Allocation of Security Assets

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brigantic, Robert T.; Betzsold, Nick J.; Bakker, Craig KR

In this presentation we overview a methodology for dynamic security risk quantification and optimal resource allocation of security assets for high profile venues. This methodology is especially applicable to venues that require security screening operations such as mass transit (e.g., train or airport terminals), critical infrastructure protection (e.g., government buildings), and largescale public events (e.g., concerts or professional sports). The method starts by decomposing the three core components of risk -- threat, vulnerability, and consequence -- into their various subcomponents. For instance, vulnerability can be decomposed into availability, accessibility, organic security, and target hardness and each of these can bemore » evaluated against the potential threats of interest for the given venue. Once evaluated, these subcomponents are rolled back up to compute the specific value for the vulnerability core risk component. Likewise, the same is done for consequence and threat, and then risk is computed as the product of these three components. A key aspect of our methodology is dynamically quantifying risk. That is, we incorporate the ability to uniquely allow the subcomponents and core components, and in turn, risk, to be quantified as a continuous function of time throughout the day, week, month, or year as appropriate.« less

Ising model of financial markets with many assets

NASA Astrophysics Data System (ADS)

Eckrot, A.; Jurczyk, J.; Morgenstern, I.

2016-11-01

Many models of financial markets exist, but most of them simulate single asset markets. We study a multi asset Ising model of a financial market. Each agent has two possible actions (buy/sell) for every asset. The agents dynamically adjust their coupling coefficients according to past market returns and external news. This leads to fat tails and volatility clustering independent of the number of assets. We find that a separation of news into different channels leads to sector structures in the cross correlations, similar to those found in real markets.

Optimized autonomous space in-situ sensor web for volcano monitoring

USGS Publications Warehouse

Song, W.-Z.; Shirazi, B.; Huang, R.; Xu, M.; Peterson, N.; LaHusen, R.; Pallister, J.; Dzurisin, D.; Moran, S.; Lisowski, M.; Kedar, S.; Chien, S.; Webb, F.; Kiely, A.; Doubleday, J.; Davies, A.; Pieri, D.

2010-01-01

In response to NASA's announced requirement for Earth hazard monitoring sensor-web technology, a multidisciplinary team involving sensor-network experts (Washington State University), space scientists (JPL), and Earth scientists (USGS Cascade Volcano Observatory (CVO)), have developed a prototype of dynamic and scalable hazard monitoring sensor-web and applied it to volcano monitoring. The combined Optimized Autonomous Space In-situ Sensor-web (OASIS) has two-way communication capability between ground and space assets, uses both space and ground data for optimal allocation of limited bandwidth resources on the ground, and uses smart management of competing demands for limited space assets. It also enables scalability and seamless infusion of future space and in-situ assets into the sensor-web. The space and in-situ control components of the system are integrated such that each element is capable of autonomously tasking the other. The ground in-situ was deployed into the craters and around the flanks of Mount St. Helens in July 2009, and linked to the command and control of the Earth Observing One (EO-1) satellite. ?? 2010 IEEE.

Application of quantum master equation for long-term prognosis of asset-prices

NASA Astrophysics Data System (ADS)

Khrennikova, Polina

2016-05-01

This study combines the disciplines of behavioral finance and an extension of econophysics, namely the concepts and mathematical structure of quantum physics. We apply the formalism of quantum theory to model the dynamics of some correlated financial assets, where the proposed model can be potentially applied for developing a long-term prognosis of asset price formation. At the informational level, the asset price states interact with each other by the means of a ;financial bath;. The latter is composed of agents' expectations about the future developments of asset prices on the finance market, as well as financially important information from mass-media, society, and politicians. One of the essential behavioral factors leading to the quantum-like dynamics of asset prices is the irrationality of agents' expectations operating on the finance market. These expectations lead to a deeper type of uncertainty concerning the future price dynamics of the assets, than given by a classical probability theory, e.g., in the framework of the classical financial mathematics, which is based on the theory of stochastic processes. The quantum dimension of the uncertainty in price dynamics is expressed in the form of the price-states superposition and entanglement between the prices of the different financial assets. In our model, the resolution of this deep quantum uncertainty is mathematically captured with the aid of the quantum master equation (its quantum Markov approximation). We illustrate our model of preparation of a future asset price prognosis by a numerical simulation, involving two correlated assets. Their returns interact more intensively, than understood by a classical statistical correlation. The model predictions can be extended to more complex models to obtain price configuration for multiple assets and portfolios.

Correlations and risk contagion between mixed assets and mixed-asset portfolio VaR measurements in a dynamic view: An application based on time varying copula models

NASA Astrophysics Data System (ADS)

Han, Yingying; Gong, Pu; Zhou, Xiang

2016-02-01

In this paper, we apply time varying Gaussian and SJC copula models to study the correlations and risk contagion between mixed assets: financial (stock), real estate and commodity (gold) assets in China firstly. Then we study the dynamic mixed-asset portfolio risk through VaR measurement based on the correlations computed by the time varying copulas. This dynamic VaR-copula measurement analysis has never been used on mixed-asset portfolios. The results show the time varying estimations fit much better than the static models, not only for the correlations and risk contagion based on time varying copulas, but also for the VaR-copula measurement. The time varying VaR-SJC copula models are more accurate than VaR-Gaussian copula models when measuring more risky portfolios with higher confidence levels. The major findings suggest that real estate and gold play a role on portfolio risk diversification and there exist risk contagion and flight to quality between mixed-assets when extreme cases happen, but if we take different mixed-asset portfolio strategies with the varying of time and environment, the portfolio risk will be reduced.

Developing Global Building Exposure for Disaster Forecasting, Mitigation, and Response

NASA Astrophysics Data System (ADS)

Huyck, C. K.

2016-12-01

Nongovernmental organizations and governments are recognizing the importance of insurance penetration in developing countries to mitigate the tremendous setbacks that follow natural disasters., but to effectively manage risk stakeholders must accurately quantify the built environment. Although there are countless datasets addressing elements of buildings, there are surprisingly few that are directly applicable to assessing vulnerability to natural disasters without skewing the spatial distribution of risk towards known assets. Working with NASA center partners Center for International Earth Science Information Network (CIESIN) at Columbia University in New York (http://www.ciesin.org), ImageCat have developed a novel method of developing Global Exposure Data (GED) from EO sources. The method has been applied to develop exposure datasets for GFDRR, CAT modelers, and aid in post-earthquake allocation of resources for UNICEF.

Optimized Autonomous Space In-situ Sensor-Web for volcano monitoring

USGS Publications Warehouse

Song, W.-Z.; Shirazi, B.; Kedar, S.; Chien, S.; Webb, F.; Tran, D.; Davis, A.; Pieri, D.; LaHusen, R.; Pallister, J.; Dzurisin, D.; Moran, S.; Lisowski, M.

2008-01-01

In response to NASA's announced requirement for Earth hazard monitoring sensor-web technology, a multidisciplinary team involving sensor-network experts (Washington State University), space scientists (JPL), and Earth scientists (USGS Cascade Volcano Observatory (CVO)), is developing a prototype dynamic and scaleable hazard monitoring sensor-web and applying it to volcano monitoring. The combined Optimized Autonomous Space -In-situ Sensor-web (OASIS) will have two-way communication capability between ground and space assets, use both space and ground data for optimal allocation of limited power and bandwidth resources on the ground, and use smart management of competing demands for limited space assets. It will also enable scalability and seamless infusion of future space and in-situ assets into the sensor-web. The prototype will be focused on volcano hazard monitoring at Mount St. Helens, which has been active since October 2004. The system is designed to be flexible and easily configurable for many other applications as well. The primary goals of the project are: 1) integrating complementary space (i.e., Earth Observing One (EO-1) satellite) and in-situ (ground-based) elements into an interactive, autonomous sensor-web; 2) advancing sensor-web power and communication resource management technology; and 3) enabling scalability for seamless infusion of future space and in-situ assets into the sensor-web. To meet these goals, we are developing: 1) a test-bed in-situ array with smart sensor nodes capable of making autonomous data acquisition decisions; 2) efficient self-organization algorithm of sensor-web topology to support efficient data communication and command control; 3) smart bandwidth allocation algorithms in which sensor nodes autonomously determine packet priorities based on mission needs and local bandwidth information in real-time; and 4) remote network management and reprogramming tools. The space and in-situ control components of the system will be integrated such that each element is capable of autonomously tasking the other. Sensor-web data acquisition and dissemination will be accomplished through the use of the Open Geospatial Consortium Sensorweb Enablement protocols. The three-year project will demonstrate end-to-end system performance with the in-situ test-bed at Mount St. Helens and NASA's EO-1 platform. ??2008 IEEE.

Asset surveillance system: apparatus and method

NASA Technical Reports Server (NTRS)

Bickford, Randall L. (Inventor)

2007-01-01

System and method for providing surveillance of an asset comprised of numerically fitting at least one mathematical model to obtained residual data correlative to asset operation; storing at least one mathematical model in a memory; obtaining a current set of signal data from the asset; retrieving at least one mathematical model from the memory, using the retrieved mathematical model in a sequential hypothesis test for determining if the current set of signal data is indicative of a fault condition; determining an asset fault cause correlative to a determined indication of a fault condition; providing an indication correlative to a determined fault cause, and an action when warranted. The residual data can be mode partitioned, a current mode of operation can be determined from the asset, and at least one mathematical model can be retrieved from the memory as a function of the determined mode of operation.

Inverse Optimization: A New Perspective on the Black-Litterman Model.

PubMed

Bertsimas, Dimitris; Gupta, Vishal; Paschalidis, Ioannis Ch

2012-12-11

The Black-Litterman (BL) model is a widely used asset allocation model in the financial industry. In this paper, we provide a new perspective. The key insight is to replace the statistical framework in the original approach with ideas from inverse optimization. This insight allows us to significantly expand the scope and applicability of the BL model. We provide a richer formulation that, unlike the original model, is flexible enough to incorporate investor information on volatility and market dynamics. Equally importantly, our approach allows us to move beyond the traditional mean-variance paradigm of the original model and construct "BL"-type estimators for more general notions of risk such as coherent risk measures. Computationally, we introduce and study two new "BL"-type estimators and their corresponding portfolios: a Mean Variance Inverse Optimization (MV-IO) portfolio and a Robust Mean Variance Inverse Optimization (RMV-IO) portfolio. These two approaches are motivated by ideas from arbitrage pricing theory and volatility uncertainty. Using numerical simulation and historical backtesting, we show that both methods often demonstrate a better risk-reward tradeoff than their BL counterparts and are more robust to incorrect investor views.

Understanding Building Infrastructure and Building Operation through DOE Asset Score Model: Lessons Learned from a Pilot Project

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wang, Na; Goel, Supriya; Gorrissen, Willy J.

2013-06-24

The U.S. Department of Energy (DOE) is developing a national voluntary energy asset score system to help building owners to evaluate the as-built physical characteristics (including building envelope, the mechanical and electrical systems) and overall building energy efficiency, independent of occupancy and operational choices. The energy asset score breaks down building energy use information by simulating building performance under typical operating and occupancy conditions for a given use type. A web-based modeling tool, the energy asset score tool facilitates the implementation of the asset score system. The tool consists of a simplified user interface built on a centralized simulation enginemore » (EnergyPlus). It is intended to reduce both the implementation cost for the users and increase modeling standardization compared with an approach that requires users to build their own energy models. A pilot project with forty-two buildings (consisting mostly offices and schools) was conducted in 2012. This paper reports the findings. Participants were asked to collect a minimum set of building data and enter it into the asset score tool. Participants also provided their utility bills, existing ENERGY STAR scores, and previous energy audit/modeling results if available. The results from the asset score tool were compared with the building energy use data provided by the pilot participants. Three comparisons were performed. First, the actual building energy use, either from the utility bills or via ENERGY STAR Portfolio Manager, was compared with the modeled energy use. It was intended to examine how well the energy asset score represents a building’s system efficiencies, and how well it is correlated to a building’s actual energy consumption. Second, calibrated building energy models (where they exist) were used to examine any discrepancies between the asset score model and the pilot participant buildings’ [known] energy use pattern. This comparison examined the end use breakdowns and more detailed time series data. Third, ASHRAE 90.1 prototype buildings were also used as an industry standard modeling approach to test the accuracy level of the asset score tool. Our analysis showed that the asset score tool, which uses simplified building simulation, could provide results comparable to a more detailed energy model. The buildings’ as-built efficiency can be reflected in the energy asset score. An analysis between the modeled energy use through the asset score tool and the actual energy use from the utility bills can further inform building owners about the effectiveness of their building’s operation and maintenance.« less

The estimation of time-varying risks in asset pricing modelling using B-Spline method

NASA Astrophysics Data System (ADS)

Nurjannah; Solimun; Rinaldo, Adji

2017-12-01

Asset pricing modelling has been extensively studied in the past few decades to explore the risk-return relationship. The asset pricing literature typically assumed a static risk-return relationship. However, several studies found few anomalies in the asset pricing modelling which captured the presence of the risk instability. The dynamic model is proposed to offer a better model. The main problem highlighted in the dynamic model literature is that the set of conditioning information is unobservable and therefore some assumptions have to be made. Hence, the estimation requires additional assumptions about the dynamics of risk. To overcome this problem, the nonparametric estimators can also be used as an alternative for estimating risk. The flexibility of the nonparametric setting avoids the problem of misspecification derived from selecting a functional form. This paper investigates the estimation of time-varying asset pricing model using B-Spline, as one of nonparametric approach. The advantages of spline method is its computational speed and simplicity, as well as the clarity of controlling curvature directly. The three popular asset pricing models will be investigated namely CAPM (Capital Asset Pricing Model), Fama-French 3-factors model and Carhart 4-factors model. The results suggest that the estimated risks are time-varying and not stable overtime which confirms the risk instability anomaly. The results is more pronounced in Carhart’s 4-factors model.

Modelling of capital asset pricing by considering the lagged effects

NASA Astrophysics Data System (ADS)

Sukono; Hidayat, Y.; Bon, A. Talib bin; Supian, S.

2017-01-01

In this paper the problem of modelling the Capital Asset Pricing Model (CAPM) with the effect of the lagged is discussed. It is assumed that asset returns are analysed influenced by the market return and the return of risk-free assets. To analyse the relationship between asset returns, the market return, and the return of risk-free assets, it is conducted by using a regression equation of CAPM, and regression equation of lagged distributed CAPM. Associated with the regression equation lagged CAPM distributed, this paper also developed a regression equation of Koyck transformation CAPM. Results of development show that the regression equation of Koyck transformation CAPM has advantages, namely simple as it only requires three parameters, compared with regression equation of lagged distributed CAPM.

Three-dimensional GIS approach for management of assets

NASA Astrophysics Data System (ADS)

Lee, S. Y.; Yee, S. X.; Majid, Z.; Setan, H.

2014-02-01

Assets play an important role in human life, especially to an organization. Organizations strive and put more effort to improve its operation and assets management. The development of GIS technology has become a powerful tool in management as it is able to provide a complete inventory for managing assets with location-based information. Spatial information is one of the requirements in decision making in various areas, including asset management in the buildings. This paper describes a 3D GIS approach for management of assets. An asset management system was developed by integrating GIS concept and 3D model assets. The purposes of 3D visualization to manage assets are to facilitate the analysis and understanding in the complex environment. Behind the 3D model of assets is a database to store the asset information. A user-friendly interface was also designed for more easier to operate the application. In the application developed, location of each individual asset can be easily tracked according to the referring spatial information and 3D viewing. The 3D GIS approach described in this paper is certainly would be useful in asset management. Systematic management of assets can be carried out and this will lead to less-time consuming and cost-effective. The results in this paper will show a new approach to improve asset management.

Virtual volatility

NASA Astrophysics Data System (ADS)

Silva, A. Christian; Prange, Richard E.

2007-03-01

We introduce the concept of virtual volatility. This simple but new measure shows how to quantify the uncertainty in the forecast of the drift component of a random walk. The virtual volatility also is a useful tool in understanding the stochastic process for a given portfolio. In particular, and as an example, we were able to identify mean reversion effect in our portfolio. Finally, we briefly discuss the potential practical effect of the virtual volatility on an investor asset allocation strategy.

The Caspian Sea Negotiation Support System 2.0

NASA Astrophysics Data System (ADS)

Rouhani, O. M.; Madani, K.

2012-12-01

The Caspian Sea is one of the most resourceful (both in energy and biological resources) areas of the world. The share allocation of Caspian Sea has been the subject of many disputes. Up to now, the negotiations to reach an agreement regarding the ownership status of the sea have not been completely successful. To facilitate reaching an agreement among littoral countries, research studies can provide valuable information. Researchers should examine different options for dividing the sea closely and determine the benefits of each of the options for the parties involved. Following an earlier effort, Caspian Sea Negotiation Support System is further developed in this regard. The model estimates countries' areal and utility shares under different legal methods/scenarios, attempting to minimize transportation costs of exploiting the resource. The applied model is more efficient than the earlier model and the used data includes more variables/attributes such as depth, the differentiation between gas and oil, and various fish resources than the previously employed data. Consequently, the estimates are calculated in more details than are calculated in the earlier study. The results still show a high sensitivity of outputs to the proposed division rules, suggesting a need to clarify the countries' utility and areal shares under any suggested legal regime. Compared to the previous results, the new results confirm the significant effect of the addition of the more variables/attributes to the analysis, in terms of the areal shares and allocations, valuation of resources, and asset management.

Learning Agents for Autonomous Space Asset Management (LAASAM)

NASA Astrophysics Data System (ADS)

Scally, L.; Bonato, M.; Crowder, J.

2011-09-01

Current and future space systems will continue to grow in complexity and capabilities, creating a formidable challenge to monitor, maintain, and utilize these systems and manage their growing network of space and related ground-based assets. Integrated System Health Management (ISHM), and in particular, Condition-Based System Health Management (CBHM), is the ability to manage and maintain a system using dynamic real-time data to prioritize, optimize, maintain, and allocate resources. CBHM entails the maintenance of systems and equipment based on an assessment of current and projected conditions (situational and health related conditions). A complete, modern CBHM system comprises a number of functional capabilities: sensing and data acquisition; signal processing; conditioning and health assessment; diagnostics and prognostics; and decision reasoning. In addition, an intelligent Human System Interface (HSI) is required to provide the user/analyst with relevant context-sensitive information, the system condition, and its effect on overall situational awareness of space (and related) assets. Colorado Engineering, Inc. (CEI) and Raytheon are investigating and designing an Intelligent Information Agent Architecture that will provide a complete range of CBHM and HSI functionality from data collection through recommendations for specific actions. The research leverages CEI’s expertise with provisioning management network architectures and Raytheon’s extensive experience with learning agents to define a system to autonomously manage a complex network of current and future space-based assets to optimize their utilization.

Reconstruction of 3d Objects of Assets and Facilities by Using Benchmark Points

NASA Astrophysics Data System (ADS)

Baig, S. U.; Rahman, A. A.

2013-08-01

Acquiring and modeling 3D geo-data of building assets and facility objects is one of the challenges. A number of methods and technologies are being utilized for this purpose. Total station, GPS, photogrammetric and terrestrial laser scanning are few of these technologies. In this paper, points commonly shared by potential facades of assets and facilities modeled from point clouds are identified. These points are useful for modeling process to reconstruct 3D models of assets and facilities stored to be used for management purposes. These models are segmented through different planes to produce accurate 2D plans. This novel method improves the efficiency and quality of construction of models of assets and facilities with the aim utilize in 3D management projects such as maintenance of buildings or group of items that need to be replaced, or renovated for new services.

Simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in Malawi

PubMed Central

2010-01-01

Background The district resource allocation formula in Malawi was recently reviewed to include stunting as a proxy measure of socioeconomic status. In many countries where the concept of need has been incorporated in resource allocation, composite indicators of socioeconomic status have been used. In the Malawi case, it is important to ascertain whether there are differences between using single variable or composite indicators of socioeconomic status in allocations made to districts, holding all other factors in the resource allocation formula constant. Methods Principal components analysis was used to calculate asset indices for all districts from variables that capture living standards using data from the Malawi Multiple Indicator Cluster Survey 2006. These were normalized and used to weight district populations. District proportions of national population weighted by both the simple and composite indicators were then calculated for all districts and compared. District allocations were also calculated using the two approaches and compared. Results The two types of indicators are highly correlated, with a spearman rank correlation coefficient of 0.97 at the 1% level of significance. For 21 out of the 26 districts included in the study, proportions of national population weighted by the simple indicator are higher by an average of 0.6 percentage points. For the remaining 5 districts, district proportions of national population weighted by the composite indicator are higher by an average of 2 percentage points. Though the average percentage point differences are low and the actual allocations using both approaches highly correlated (ρ of 0.96), differences in actual allocations exceed 10% for 8 districts and have an average of 4.2% for the remaining 17. For 21 districts allocations based on the single variable indicator are higher. Conclusions Variations in district allocations made using either the simple or composite indicators of socioeconomic status are not statistically different to recommend one over the other. However, the single variable indicator is favourable for its ease of computation. PMID:20053274

Three Essays on Macroeconomics

NASA Astrophysics Data System (ADS)

Doda, Lider Baran

This dissertation consists of three independent essays in macroeconomics. The first essay studies the transition to a low carbon economy using an extension of the neoclassical growth model featuring endogenous energy efficiency, exhaustible energy and explicit climate-economy interaction. I derive the properties of the laissez faire equilibrium and compare them to the optimal allocations of a social planner who internalizes the climate change externality. Three main results emerge. First, the exhaustibility of energy generates strong market based incentives to improve energy efficiency and reduce CO 2 emissions without any government intervention. Second, the market and optimal allocations are substantially different suggesting a role for the government. Third, high and persistent taxes are required to implement the optimal allocations as a competitive equilibrium with taxes. The second essay focuses on coal fired power plants (CFPP) - one of the largest sources of CO2 emissions globally - and their generation efficiency using a macroeconomic model with an embedded CFPP sector. A key feature of the model is the endogenous choice of production technologies which differ in their energy efficiency. After establishing four empirical facts about the CFPP sector, I analyze the long run quantitative effects of energy taxes. Using the calibrated model, I find that sector-specific coal taxes have large effects on generation efficiency by inducing the use of more efficient technologies. Moreover, such taxes achieve large CO2 emissions reductions with relatively small effects on consumption and output. The final essay studies the procyclicality of fiscal policy in developing countries, which is a well-documented empirical observation seemingly at odds with Neoclassical and Keynesian policy prescriptions. I examine this issue by solving the optimal fiscal policy problem of a small open economy government when the interest rates on external debt are endogenous. Given an incomplete asset market, endogeneity is achieved by removing the government's ability to commit to repaying its external obligations. When calibrated to Argentina, the model generates procyclical government spending and countercyclical labor income tax rates. Simultaneously, the model's implications for key business cycle moments align well with the data.

Climate risk index for Italy.

PubMed

Mysiak, Jaroslav; Torresan, Silvia; Bosello, Francesco; Mistry, Malcolm; Amadio, Mattia; Marzi, Sepehr; Furlan, Elisa; Sperotto, Anna

2018-06-13

We describe a climate risk index that has been developed to inform national climate adaptation planning in Italy and that is further elaborated in this paper. The index supports national authorities in designing adaptation policies and plans, guides the initial problem formulation phase, and identifies administrative areas with higher propensity to being adversely affected by climate change. The index combines (i) climate change-amplified hazards; (ii) high-resolution indicators of exposure of chosen economic, social, natural and built- or manufactured capital (MC) assets and (iii) vulnerability, which comprises both present sensitivity to climate-induced hazards and adaptive capacity. We use standardized anomalies of selected extreme climate indices derived from high-resolution regional climate model simulations of the EURO-CORDEX initiative as proxies of climate change-altered weather and climate-related hazards. The exposure and sensitivity assessment is based on indicators of manufactured, natural, social and economic capital assets exposed to and adversely affected by climate-related hazards. The MC refers to material goods or fixed assets which support the production process (e.g. industrial machines and buildings); Natural Capital comprises natural resources and processes (renewable and non-renewable) producing goods and services for well-being; Social Capital (SC) addressed factors at the individual (people's health, knowledge, skills) and collective (institutional) level (e.g. families, communities, organizations and schools); and Economic Capital (EC) includes owned and traded goods and services. The results of the climate risk analysis are used to rank the subnational administrative and statistical units according to the climate risk challenges, and possibly for financial resource allocation for climate adaptation.This article is part of the theme issue 'Advances in risk assessment for climate change adaptation policy'. © 2018 The Authors.

Climate risk index for Italy

NASA Astrophysics Data System (ADS)

Mysiak, Jaroslav; Torresan, Silvia; Bosello, Francesco; Mistry, Malcolm; Amadio, Mattia; Marzi, Sepehr; Furlan, Elisa; Sperotto, Anna

2018-06-01

We describe a climate risk index that has been developed to inform national climate adaptation planning in Italy and that is further elaborated in this paper. The index supports national authorities in designing adaptation policies and plans, guides the initial problem formulation phase, and identifies administrative areas with higher propensity to being adversely affected by climate change. The index combines (i) climate change-amplified hazards; (ii) high-resolution indicators of exposure of chosen economic, social, natural and built- or manufactured capital (MC) assets and (iii) vulnerability, which comprises both present sensitivity to climate-induced hazards and adaptive capacity. We use standardized anomalies of selected extreme climate indices derived from high-resolution regional climate model simulations of the EURO-CORDEX initiative as proxies of climate change-altered weather and climate-related hazards. The exposure and sensitivity assessment is based on indicators of manufactured, natural, social and economic capital assets exposed to and adversely affected by climate-related hazards. The MC refers to material goods or fixed assets which support the production process (e.g. industrial machines and buildings); Natural Capital comprises natural resources and processes (renewable and non-renewable) producing goods and services for well-being; Social Capital (SC) addressed factors at the individual (people's health, knowledge, skills) and collective (institutional) level (e.g. families, communities, organizations and schools); and Economic Capital (EC) includes owned and traded goods and services. The results of the climate risk analysis are used to rank the subnational administrative and statistical units according to the climate risk challenges, and possibly for financial resource allocation for climate adaptation. This article is part of the theme issue `Advances in risk assessment for climate change adaptation policy'.

Climate risk index for Italy

PubMed Central

Torresan, Silvia; Bosello, Francesco; Mistry, Malcolm; Amadio, Mattia; Marzi, Sepehr; Furlan, Elisa; Sperotto, Anna

2018-01-01

We describe a climate risk index that has been developed to inform national climate adaptation planning in Italy and that is further elaborated in this paper. The index supports national authorities in designing adaptation policies and plans, guides the initial problem formulation phase, and identifies administrative areas with higher propensity to being adversely affected by climate change. The index combines (i) climate change-amplified hazards; (ii) high-resolution indicators of exposure of chosen economic, social, natural and built- or manufactured capital (MC) assets and (iii) vulnerability, which comprises both present sensitivity to climate-induced hazards and adaptive capacity. We use standardized anomalies of selected extreme climate indices derived from high-resolution regional climate model simulations of the EURO-CORDEX initiative as proxies of climate change-altered weather and climate-related hazards. The exposure and sensitivity assessment is based on indicators of manufactured, natural, social and economic capital assets exposed to and adversely affected by climate-related hazards. The MC refers to material goods or fixed assets which support the production process (e.g. industrial machines and buildings); Natural Capital comprises natural resources and processes (renewable and non-renewable) producing goods and services for well-being; Social Capital (SC) addressed factors at the individual (people's health, knowledge, skills) and collective (institutional) level (e.g. families, communities, organizations and schools); and Economic Capital (EC) includes owned and traded goods and services. The results of the climate risk analysis are used to rank the subnational administrative and statistical units according to the climate risk challenges, and possibly for financial resource allocation for climate adaptation. This article is part of the theme issue ‘Advances in risk assessment for climate change adaptation policy’. PMID:29712797

On the Exploitation of Human Inductive Thought and Intuition in Future Global Command and Control Architectures

DTIC Science & Technology

1993-06-01

world events, political policy will have a greater impact on military strategy (necessity to achieve UN mandate in support of coalition warfare), the new...United States determine and implement optimal courses of action, allocate assets subject to environmental constraints, and direct forces against threats to...warrior. Finally, this chapter focuses the reader on the impact of technology and how the user or warrior will interact with information. A. BACKGROUND

Medical technology management: from planning to application.

PubMed

David, Y; Jahnke, E

2005-01-01

Appropriate deployment of technological innovation contributes to improvement in the quality of healthcare delivered, the containment of cost, and access to the healthcare system. Hospitals have been allocating a significant portion of their resources to procuring and managing capital assets; they are continuously faced with demands for new medical equipment and are asked to manage existing inventory for which they are not well prepared. To objectively manage their investment, hospitals are developing medical technology management programs that need pertinent information and planning methodology for integrating new equipment into existing operations as well as for optimizing costs of ownership of all equipment. Clinical engineers can identify technological solutions based on the matching of new medical equipment with hospital's objectives. They can review their institution's overall technological position, determine strengths and weaknesses, develop equipment-selection criteria, supervise installations, train users and monitor post procurement performance to assure meeting of goals. This program, together with cost accounting analysis, will objectively guide the capital assets decision-making process. Cost accounting analysis is a multivariate function that includes determining the amount, based upon a strategic plan and financial resources, of funding to be allocated annually for medical equipment acquisition and replacement. Often this function works closely with clinical engineering to establish equipment useful life and prioritization of acquisition, upgrade, and replacement of inventory within budget confines and without conducting time consuming, individual financial capital project evaluations.

Financing Projects That Use Clean Energy Technologies: An Overview of Barriers and Opportunities

DOE Office of Scientific and Technical Information (OSTI.GOV)

Goldman, D. P.; McKenna, J. J.; Murphy, L. M.

2005-10-01

Project finance is asset-based financing, meaning that the project lenders have recourse only to the underlying assets of a project. It involves both debt and equity, where the debt-to-equity ratio is typically large (e.g., 70% debt to 30% equity). Debt is used when available and when it is the least expensive form of financing, with equity still needed for credit worthiness. Most important, revenue from the project must be able to generate a return to the equity investors, and pay for interest and principal on the debt, transaction costs associated with developing and structuring the project, and operations and maintenancemore » costs. Successful project financing must provide a structure to manage and share risks in an optimal way that benefits all participants, allocating risks to those entities that are able to mitigate each specific risk, and to share information about putting risk management in the proper hands at the proper stage of project development. Contractual agreements are, thus, important in risk mitigation. Today's project financing typically involves the creation of a stand-alone project company that is the legal owner of the project assets, and that has contractual agreements with other parties.« less

Risk and utility in portfolio optimization

NASA Astrophysics Data System (ADS)

Cohen, Morrel H.; Natoli, Vincent D.

2003-06-01

Modern portfolio theory (MPT) addresses the problem of determining the optimum allocation of investment resources among a set of candidate assets. In the original mean-variance approach of Markowitz, volatility is taken as a proxy for risk, conflating uncertainty with risk. There have been many subsequent attempts to alleviate that weakness which, typically, combine utility and risk. We present here a modification of MPT based on the inclusion of separate risk and utility criteria. We define risk as the probability of failure to meet a pre-established investment goal. We define utility as the expectation of a utility function with positive and decreasing marginal value as a function of yield. The emphasis throughout is on long investment horizons for which risk-free assets do not exist. Analytic results are presented for a Gaussian probability distribution. Risk-utility relations are explored via empirical stock-price data, and an illustrative portfolio is optimized using the empirical data.

Plan demographics, participants' saving behavior, and target-date fund investments.

PubMed

Park, Youngkyun

2009-05-01

This analysis explores (1) whether plan demographic characteristics would affect individual participant contribution rates and target-date fund investments and (2) equity glide paths for participants in relation to plan demographics by considering target replacement income and its success rate. PLAN DEMOGRAPHIC CHARACTERISTICS IN PARTICIPANT CONTRIBUTION RATES: This study finds empirical evidence that 401(k) plan participants' contribution rates differ by plan demographics based on participants' income and/or tenure. In particular, participants in 401(k) plans dominated by those with low income and short tenure tend to contribute less than those in plans dominated by participants with high income and long tenure. Future research will explore how participant contribution behavior may also be influenced by incentives provided by employers through matching formulae. PLAN DEMOGRAPHIC CHARACTERISTICS IN TARGET-DATE FUND INVESTMENTS: The study also finds empirical evidence that participants' investments in target-date funds with different equity allocations differ by plan demographics based on participants' income and/or tenure. In particular, target-date fund users with 90 percent or more of their account balances in target-date funds who are in 401(k) plans dominated by low-income and short-tenure participants tend to hold target-date funds with lower equity allocations, compared with their counterparts in plans dominated by high-income and long-tenure participants. Future research will focus on the extent to which these characteristics might influence the selection of target-date funds by plan sponsors. EQUITY GLIDE PATHS: Several stylized equity glide paths as well as alternative asset allocations are compared for participants at various starting ages to demonstrate the interaction between plan demographics and equity glide paths/asset allocations in terms of success rates in meeting various replacement income targets. The equity glide path/asset allocation providing the highest success rate at a particular replacement rate target will vary with the assumed starting date of the participant (see Figure 17). Given the highly stylized nature of the simulations in this Issue Brief it is important to note that the results are not intended to provide a single equity glide path solution in relation to plan demographics. Instead, they serve as a framework to be considered when plan sponsors make a selection concerning which target-date funds to include in their plan. IMPORTANCE OF PARTICIPANT CONTRIBUTION RATES: This analysis finds that although target-date funds with different equity glide paths affect the retirement income replacement success rate, participant contribution rates corresponding to different plan demographic characteristics have a stronger impact. AUTO FEATURES OF THE PPA: This Issue Brief provides a stylized study using observed contribution rates as of the 2007 plan year. However, with the passage of the Pension Protection Act of 2006 and its likely impact on plan design in the future (increased utilization of automatic enrollment and automatic contribution escalations), it is likely that contribution rates among the participants may become more homogenous. In such a scenario, it may be more likely that a single equity glide path would meet a wide range of demographic profiles.

Land Suitability Modeling using a Geographic Socio-Environmental Niche-Based Approach: A Case Study from Northeastern Thailand

PubMed Central

Heumann, Benjamin W.; Walsh, Stephen J.; Verdery, Ashton M.; McDaniel, Phillip M.; Rindfuss, Ronald R.

2012-01-01

Understanding the pattern-process relations of land use/land cover change is an important area of research that provides key insights into human-environment interactions. The suitability or likelihood of occurrence of land use such as agricultural crop types across a human-managed landscape is a central consideration. Recent advances in niche-based, geographic species distribution modeling (SDM) offer a novel approach to understanding land suitability and land use decisions. SDM links species presence-location data with geospatial information and uses machine learning algorithms to develop non-linear and discontinuous species-environment relationships. Here, we apply the MaxEnt (Maximum Entropy) model for land suitability modeling by adapting niche theory to a human-managed landscape. In this article, we use data from an agricultural district in Northeastern Thailand as a case study for examining the relationships between the natural, built, and social environments and the likelihood of crop choice for the commonly grown crops that occur in the Nang Rong District – cassava, heavy rice, and jasmine rice, as well as an emerging crop, fruit trees. Our results indicate that while the natural environment (e.g., elevation and soils) is often the dominant factor in crop likelihood, the likelihood is also influenced by household characteristics, such as household assets and conditions of the neighborhood or built environment. Furthermore, the shape of the land use-environment curves illustrates the non-continuous and non-linear nature of these relationships. This approach demonstrates a novel method of understanding non-linear relationships between land and people. The article concludes with a proposed method for integrating the niche-based rules of land use allocation into a dynamic land use model that can address both allocation and quantity of agricultural crops. PMID:24187378

Brownian motion model with stochastic parameters for asset prices

NASA Astrophysics Data System (ADS)

Ching, Soo Huei; Hin, Pooi Ah

2013-09-01

The Brownian motion model may not be a completely realistic model for asset prices because in real asset prices the drift μ and volatility σ may change over time. Presently we consider a model in which the parameter x = (μ,σ) is such that its value x (t + Δt) at a short time Δt ahead of the present time t depends on the value of the asset price at time t + Δt as well as the present parameter value x(t) and m-1 other parameter values before time t via a conditional distribution. The Malaysian stock prices are used to compare the performance of the Brownian motion model with fixed parameter with that of the model with stochastic parameter.

Natural Capital Management: An Evolutionary Paradigm for Sustainable Restoration Investment - 13455

DOE Office of Scientific and Technical Information (OSTI.GOV)

Koetz, Maureen T.

2013-07-01

Unlike other forms of capital assets (built infrastructure, labor, financial capital), the supply of usable or accessible air, land, and water elements (termed Natural Capital Assets or NCA) available to enterprise processes is structurally shrinking due to increased demand and regulatory restriction. This supply/demand imbalance is affecting all forms of public and private enterprise (including Federal Facilities) in the form of encroachment, production limits, cost increases, and reduced competitiveness. Department of Energy (DOE) sites are comprised of significant stocks of NCA that function as both conserved capital (providing ecosystem services and other reserve capacity), and as natural infrastructure (supporting majormore » Federal enterprise programs). The current rubric of 'Environmental Stewardship' provides an unduly constrained management paradigm that is focused largely on compliance process metrics, and lacks a value platform for quantifying, documenting, and sustainably re-deploying re-capitalized natural asset capacity and capability. By adopting value-based system concepts similar to built infrastructure accounting and information management, 'stewarded' natural assets relegated to liability- or compliance-focused outcomes become 're-capitalized' operational assets able to support new or expanded mission. This growing need for new accounting and management paradigms to capture natural capital value is achieving global recognition, most recently by the United Nations, world leaders, and international corporations at the Rio+20 Summit in June of 2012. Natural Capital Asset Management (NCAM){sup TM} is such an accounting framework tool. Using a quantification-based design, NCAM{sup TM} provides inventory, capacity and value data to owners or managers of natural assets such as the DOE that parallel comparable information systems currently used for facility assets. Applied to Environmental Management (EM) and other DOE program activities, the natural asset capacity and value generated by EM projects and other investment and operational programming can be recorded and then allocated to mission and/or ecosystem needs as part of overall site, complex, and Federal decision-making. NCAM{sup TM} can also document post-restoration asset capability and value for use in weighing loss mitigation and ecosystem damage claims arising from past operational activities. A prototype NCAM{sup TM} evaluation developed at the Savannah River Site (SRS) demonstrates use of this framework as an advanced paradigm for NCA accounting and decision-making for the larger DOE complex and other enterprise using natural capital in operations. Applying a quantified value paradigm, the framework catalogues the results of activities that sustain, restore, and modernize natural assets for enterprise-wide value beyond that of compliance milestones. Capturing and assigning recapitalization value using NCAM{sup TM} concepts and tools improves effective reuse of taxpayer-sustained assets, records ecosystem service value, enables mission and enterprise optimization, and assures the sustainability of shared natural capital assets in regional pools vital to both complex sites and local and regional economies. (authors)« less

[Design of medical devices management system supporting full life-cycle process management].

PubMed

Su, Peng; Zhong, Jianping

2014-03-01

Based on the analysis of the present status of medical devices management, this paper optimized management process, developed a medical devices management system with Web technologies. With information technology to dynamic master the use of state of the entire life-cycle of medical devices. Through the closed-loop management with pre-event budget, mid-event control and after-event analysis, improved the delicacy management level of medical devices, optimized asset allocation, promoted positive operation of devices.

Cybersecurity Capability Maturity Model for Information Technology Services (C2M2 for IT Services), Version 1.0

DTIC Science & Technology

2015-04-01

Information and technology assets are a particular focus of the model. Information assets could be digital (e.g., stored in a computer system...which give context for the domain and intro - duce its practices and its abbreviation. (The abbreviation for the Risk Management domain, for example...Objectives and Practices 1. Manage Asset Inventory MIL1 a. There is an inventory of technology assets (e.g., computers and telecommunication equipment

Inverse Optimization: A New Perspective on the Black-Litterman Model

PubMed Central

Bertsimas, Dimitris; Gupta, Vishal; Paschalidis, Ioannis Ch.

2014-01-01

The Black-Litterman (BL) model is a widely used asset allocation model in the financial industry. In this paper, we provide a new perspective. The key insight is to replace the statistical framework in the original approach with ideas from inverse optimization. This insight allows us to significantly expand the scope and applicability of the BL model. We provide a richer formulation that, unlike the original model, is flexible enough to incorporate investor information on volatility and market dynamics. Equally importantly, our approach allows us to move beyond the traditional mean-variance paradigm of the original model and construct “BL”-type estimators for more general notions of risk such as coherent risk measures. Computationally, we introduce and study two new “BL”-type estimators and their corresponding portfolios: a Mean Variance Inverse Optimization (MV-IO) portfolio and a Robust Mean Variance Inverse Optimization (RMV-IO) portfolio. These two approaches are motivated by ideas from arbitrage pricing theory and volatility uncertainty. Using numerical simulation and historical backtesting, we show that both methods often demonstrate a better risk-reward tradeoff than their BL counterparts and are more robust to incorrect investor views. PMID:25382873

Survey of DoD Profit Policy and Further Analysis of the Estimation Theory

DTIC Science & Technology

1999-12-01

CAPITAL ASSET PRICING MODEL 21 E. APPLICATION OF THE CAPM TO WEIGHTED TO THE WEIGHTED GUIDLELINES POLICY 24 1. Pure...Working Capital Employed : 9 4. Facilities Capital 11 C. EFFECTIVENESS OF POLICY 12 III. CAPTIAL ASSET PRICING MODEL OF DOD PROFIT 19 A. OVERVIEW 19...and Rogerson’s approach to the weighted guidelines policy using a capital asset pricing model approach. Both models are examined in the

Robust Active Portfolio Management

DTIC Science & Technology

2006-11-27

the Markowitz mean-variance model led to development of the Capital Asset Pricing Model ( CAPM ) for asset pricing [35, 29, 23] which remains one of the...active portfolio management. Our model uses historical returns and equilibrium expected returns predicted by the CAPM to identify assets that are...incorrectly priced in the market. There is a fundamental inconsistency between the CAPM and active portfolio management. The CAPM assumes that markets are

Modeling asset price processes based on mean-field framework

NASA Astrophysics Data System (ADS)

Ieda, Masashi; Shiino, Masatoshi

2011-12-01

We propose a model of the dynamics of financial assets based on the mean-field framework. This framework allows us to construct a model which includes the interaction among the financial assets reflecting the market structure. Our study is on the cutting edge in the sense of a microscopic approach to modeling the financial market. To demonstrate the effectiveness of our model concretely, we provide a case study, which is the pricing problem of the European call option with short-time memory noise.

Ecological Assets and Academic Procrastination among Adolescents: The Mediating Role of Commitment to Learning.

PubMed

Chen, Bin-Bin; Han, Wen

2017-01-01

Academic procrastination is defined as a purposive delay of academic tasks that must be completed. Within the framework of the ecological model of resiliency, this study examined how ecological assets were related to academic procrastination among adolescents. Participants in the study were 577 adolescents (53.5% boys) from Shanghai, China. They completed measures of ecological assets, commitment to learning, and academic procrastination. Structural equation modeling revealed that, as predicted, ecological assets were negatively associated with academic procrastination. In addition, commitment to learning fully mediated the association between ecological assets and academic procrastination. Implications of the present findings are discussed.

Ecological Assets and Academic Procrastination among Adolescents: The Mediating Role of Commitment to Learning

PubMed Central

Chen, Bin-Bin; Han, Wen

2017-01-01

Academic procrastination is defined as a purposive delay of academic tasks that must be completed. Within the framework of the ecological model of resiliency, this study examined how ecological assets were related to academic procrastination among adolescents. Participants in the study were 577 adolescents (53.5% boys) from Shanghai, China. They completed measures of ecological assets, commitment to learning, and academic procrastination. Structural equation modeling revealed that, as predicted, ecological assets were negatively associated with academic procrastination. In addition, commitment to learning fully mediated the association between ecological assets and academic procrastination. Implications of the present findings are discussed. PMID:29379451

An empirical research on customer satisfaction study: a consideration of different levels of performance.

PubMed

Lee, Yu-Cheng; Wang, Yu-Che; Lu, Shu-Chiung; Hsieh, Yi-Fang; Chien, Chih-Hung; Tsai, Sang-Bing; Dong, Weiwei

2016-01-01

Customer satisfaction is the key factor for successful and depends highly on the behaviors of frontline service providers. Customers should be managed as assets, and that customers vary in their needs, preferences, and buying behavior. This study applied the Taiwan Customer Satisfaction Index model to a tourism factory to analyze customer satisfaction and loyalty. We surveyed 242 customers served by one tourism factory organizations in Taiwan. A partial least squares was performed to analyze and test the theoretical model. The results show that perceived quality had the greatest influence on the customer satisfaction for satisfied and dissatisfied customers. In addition, in terms of customer loyalty, the customer satisfaction is more important than image for satisfied and dissatisfied customers. The contribution of this paper is to propose two satisfaction levels of CSI models for analyzing customer satisfaction and loyalty, thereby helping tourism factory managers improve customer satisfaction effectively. Compared with traditional techniques, we believe that our method is more appropriate for making decisions about allocating resources and for assisting managers in establishing appropriate priorities in customer satisfaction management.

Social Security reform: evaluating current proposals. Latest results of the EBRI-SSASIM2 policy simulation model.

PubMed

Copeland, C; VanDerhei, J; Salisbury, D L

1999-06-01

The present Social Security program has been shown to be financially unsustainable in the future without modification to the current program. The purpose of this Issue Brief, EBRI's fourth in a series on Social Security reform, is threefold: to illustrate new features of the EBRI-SSASIM2 policy simulation model not available in earlier EBRI publications, to expand quantitative analysis to specific proposals, and to evaluate the uncertainty involved in proposals that rely on equity investment. This analysis compares the Gregg/Breaux-Kolbe/Stenholm (GB-KS) and Moynihan/Kerrey proposals with three generic or "traditional" reforms: increasing taxes, reducing benefits, and/or increasing the retirement age. Both proposals would create individual accounts by "carving out" funds from current Social Security payroll taxes. This analysis also examines other proposed changes that would "add on" to existing Social Security funds through the use of general revenue transfers and/or investment in the equities market. President Clinton has proposed a general revenue transfer and the collective investment of some of the OASDI trust fund assets in equities. Reps. Archer and Shaw have proposed a general revenue tax credit to establish individual accounts that would be invested partially in the equities markets. When comparing Social Security reform proposals that would specifically alter benefit levels, the Moynihan/Kerrey bill compares quite favorably with the other proposals in both benefit levels and payback ratios, when individuals elect to use the individual account option. In contrast, the GB-KS bills do not compare quite as favorably for their benefit levels, but do compare favorably in terms of payback ratios. An important comparison in these bills is the administrative costs of managing the individual accounts, since benefits can be lowered by up to 23 percent when going from the assumed low to high administrative costs. Moreover, allowing individuals to decide whether to save the 2 percent of their OASDI taxable income or to receive higher takehome pay, as would be allowed in Moynihan/Kerrey, could lead to substantial differences in ultimate retirement income. Allowing for individual investment choices and using actual 401(k) participant allocation data, as opposed to an assumed average allocation for everyone, results in substantial differences in account balances. The Archer/Shaw approach mandates a 60 percent/40 percent equity/bond split specifically to avoid the variations in returns that arise from individual investment allocation decisions. Although there are greater chances for higher returns for equity investment in the president's proposal, there are also greater chances for worse outcomes. This is also true for other reforms that would invest Social Security assets in equities.

Testing for multifractality of Islamic stock markets

NASA Astrophysics Data System (ADS)

Saâdaoui, Foued

2018-04-01

Studying the power-law scaling of financial time series is a promising area of econophysics, which has often contributed to the understanding of the intricate features of the global markets. In this article, we examine the multifractality of some financial processes and the underlying formation mechanisms in the context of Islamic equity markets. The well-known Multifractal Detrended Fluctuation Analysis (MF-DFA) is used to investigate the self-similar properties of two Dow Jones Islamic Market Indexes (DJIM). The results prove that both indexes exhibit multifractal properties. By discussing the sources of multifractality, we find that they are related to the occurrence of extreme events, long-range dependency of autocorrelations and fat-tailed distribution of returns. These results have several important implications for analysts and decision makers in modeling the dynamics of Islamic markets, thus recommending efficient asset allocation plans to investors dealing with Islamic equity markets.

Does health affect portfolio choice?

PubMed

Love, David A; Smith, Paul A

2010-12-01

A number of recent studies find that poor health is empirically associated with a safer portfolio allocation. It is difficult to say, however, whether this relationship is truly causal. Both health status and portfolio choice are influenced by unobserved characteristics such as risk attitudes, impatience, information, and motivation, and these unobserved factors, if not adequately controlled for, can induce significant bias in the estimates of asset demand equations. Using the 1992-2006 waves of the Health and Retirement Study, we investigate how much of the connection between health and portfolio choice is causal and how much is due to the effects of unobserved heterogeneity. Accounting for unobserved heterogeneity with fixed effects and correlated random effects models, we find that health does not appear to significantly affect portfolio choice among single households. For married households, we find a small effect (about 2-3 percentage points) from being in the lowest of five self-reported health categories. Copyright © 2009 John Wiley & Sons, Ltd.

System and Method for Monitoring Distributed Asset Data

NASA Technical Reports Server (NTRS)

Gorinevsky, Dimitry (Inventor)

2015-01-01

A computer-based monitoring system and monitoring method implemented in computer software for detecting, estimating, and reporting the condition states, their changes, and anomalies for many assets. The assets are of same type, are operated over a period of time, and outfitted with data collection systems. The proposed monitoring method accounts for variability of working conditions for each asset by using regression model that characterizes asset performance. The assets are of the same type but not identical. The proposed monitoring method accounts for asset-to-asset variability; it also accounts for drifts and trends in the asset condition and data. The proposed monitoring system can perform distributed processing of massive amounts of historical data without discarding any useful information where moving all the asset data into one central computing system might be infeasible. The overall processing is includes distributed preprocessing data records from each asset to produce compressed data.

Consumption Risk and the Cross Section of Expected Returns.

ERIC Educational Resources Information Center

Parker, Jonathan A.; Julliard, Christian

2005-01-01

This paper evaluates the central insight of the consumption capital asset pricing model that an asset's expected return is determined by its equilibrium risk to consumption. Rather than measure risk by the contemporaneous covariance of an asset's return and consumption growth, we measure risk by the covariance of an asset's return and consumption…

Surveillance system and method having parameter estimation and operating mode partitioning

NASA Technical Reports Server (NTRS)

Bickford, Randall L. (Inventor)

2005-01-01

A system and method for monitoring an apparatus or process asset including creating a process model comprised of a plurality of process submodels each correlative to at least one training data subset partitioned from an unpartitioned training data set and each having an operating mode associated thereto; acquiring a set of observed signal data values from the asset; determining an operating mode of the asset for the set of observed signal data values; selecting a process submodel from the process model as a function of the determined operating mode of the asset; calculating a set of estimated signal data values from the selected process submodel for the determined operating mode; and determining asset status as a function of the calculated set of estimated signal data values for providing asset surveillance and/or control.

Effectiveness Evaluation of Force Protection Training Using Computer-Based Instruction and X3d Simulation

DTIC Science & Technology

2007-09-01

behavior libraries selection box, Savage Tactics behavior sub-folder and hostile behavior sub-folder that contains the behavior that is being assigned to...21) applications. The interface allows users to select models (locations, friendly assets, hostile assets, neutral assets, etc) that will be used in...altitude, etc.) for each model and define their behaviors (friendly patrol craft, hostile explosive-laden vessel, etc). Once the models and their

Speculative behavior and asset price dynamics.

PubMed

Westerhoff, Frank

2003-07-01

This paper deals with speculative trading. Guided by empirical observations, a nonlinear deterministic asset pricing model is developed in which traders repeatedly choose between technical and fundamental analysis to determine their orders. The interaction between the trading rules produces complex dynamics. The model endogenously replicates the stylized facts of excess volatility, high trading volumes, shifts in the level of asset prices, and volatility clustering.

Macroeconomic Dynamics of Assets, Leverage and Trust

NASA Astrophysics Data System (ADS)

Rozendaal, Jeroen C.; Malevergne, Yannick; Sornette, Didier

A macroeconomic model based on the economic variables (i) assets, (ii) leverage (defined as debt over asset) and (iii) trust (defined as the maximum sustainable leverage) is proposed to investigate the role of credit in the dynamics of economic growth, and how credit may be associated with both economic performance and confidence. Our first notable finding is the mechanism of reward/penalty associated with patience, as quantified by the return on assets. In regular economies where the EBITA/Assets ratio is larger than the cost of debt, starting with a trust higher than leverage results in the highest long-term return on assets (which can be seen as a proxy for economic growth). Therefore, patient economies that first build trust and then increase leverage are positively rewarded. Our second main finding concerns a recommendation for the reaction of a central bank to an external shock that affects negatively the economic growth. We find that late policy intervention in the model economy results in the highest long-term return on assets. However, this comes at the cost of suffering longer from the crisis until the intervention occurs. The phenomenon that late intervention is most effective to attain a high long-term return on assets can be ascribed to the fact that postponing intervention allows trust to increase first, and it is most effective to intervene when trust is high. These results are derived from two fundamental assumptions underlying our model: (a) trust tends to increase when it is above leverage; (b) economic agents learn optimally to adjust debt for a given level of trust and amount of assets. Using a Markov Switching Model for the EBITA/Assets ratio, we have successfully calibrated our model to the empirical data of the return on equity of the EURO STOXX 50 for the time period 2000-2013. We find that dynamics of leverage and trust can be highly nonmonotonous with curved trajectories, as a result of the nonlinear coupling between the variables. This has an important implication for policy makers, suggesting that simple linear forecasting can be deceiving in some regimes and may lead to inappropriate policy decisions.

Communities ready for takeoffIntegrating social assets for biofuel site-selection modeling.

PubMed

Rijkhoff, Sanne A M; Hoard, Season A; Gaffney, Michael J; Smith, Paul M

2017-01-01

Although much of the social science literature supports the importance of community assets for success in many policy areas, these assets are often overlooked when selecting communities for new infrastructure facilities. Extensive collaboration is crucial for the success of environmental and economic projects, yet it often is not adequately addressed when making siting decisions for new projects. This article develops a social asset framework that includes social, creative, and human capital to inform site-selection decisions. This framework is applied to the Northwest Advanced Renewables Alliance project to assess community suitability for biofuel-related developments. This framework is the first to take all necessary community assets into account, providing insight into successful site selection beyond current models. The framework not only serves as a model for future biorefinery projects but also guides tasks that depend on informed location selection for success.

Mutually catalyzed birth of population and assets in exchange-driven growth

NASA Astrophysics Data System (ADS)

Lin, Zhenquan; Ke, Jianhong; Ye, Gaoxiang

2006-10-01

We propose an exchange-driven aggregation growth model of population and assets with mutually catalyzed birth to study the interaction between the population and assets in their exchange-driven processes. In this model, monomer (or equivalently, individual) exchange occurs between any pair of aggregates of the same species (population or assets). The rate kernels of the exchanges of population and assets are K(k,l)=Kkl and L(k,l)=Lkl , respectively, at which one monomer migrates from an aggregate of size k to another of size l . Meanwhile, an aggregate of one species can yield a new monomer by the catalysis of an arbitrary aggregate of the other species. The rate kernel of asset-catalyzed population birth is I(k,l)=Iklμ [and that of population-catalyzed asset birth is J(k,l)=Jklν ], at which an aggregate of size k gains a monomer birth when it meets a catalyst aggregate of size l . The kinetic behaviors of the population and asset aggregates are solved based on the rate equations. The evolution of the aggregate size distributions of population and assets is found to fall into one of three categories for different parameters μ and ν : (i) population (asset) aggregates evolve according to the conventional scaling form in the case of μ⩽0 (ν⩽0) , (ii) population (asset) aggregates evolve according to a modified scaling form in the case of ν=0 and μ>0 ( μ=0 and ν>0 ), and (iii) both population and asset aggregates undergo gelation transitions at a finite time in the case of μ=ν>0 .

Laplace transform analysis of a multiplicative asset transfer model

NASA Astrophysics Data System (ADS)

Sokolov, Andrey; Melatos, Andrew; Kieu, Tien

2010-07-01

We analyze a simple asset transfer model in which the transfer amount is a fixed fraction f of the giver’s wealth. The model is analyzed in a new way by Laplace transforming the master equation, solving it analytically and numerically for the steady-state distribution, and exploring the solutions for various values of f∈(0,1). The Laplace transform analysis is superior to agent-based simulations as it does not depend on the number of agents, enabling us to study entropy and inequality in regimes that are costly to address with simulations. We demonstrate that Boltzmann entropy is not a suitable (e.g. non-monotonic) measure of disorder in a multiplicative asset transfer system and suggest an asymmetric stochastic process that is equivalent to the asset transfer model.

Packaging Software Assets for Reuse

NASA Astrophysics Data System (ADS)

Mattmann, C. A.; Marshall, J. J.; Downs, R. R.

2010-12-01

The reuse of existing software assets such as code, architecture, libraries, and modules in current software and systems development projects can provide many benefits, including reduced costs, in time and effort, and increased reliability. Many reusable assets are currently available in various online catalogs and repositories, usually broken down by disciplines such as programming language (Ibiblio for Maven/Java developers, PyPI for Python developers, CPAN for Perl developers, etc.). The way these assets are packaged for distribution can play a role in their reuse - an asset that is packaged simply and logically is typically easier to understand, install, and use, thereby increasing its reusability. A well-packaged asset has advantages in being more reusable and thus more likely to provide benefits through its reuse. This presentation will discuss various aspects of software asset packaging and how they can affect the reusability of the assets. The characteristics of well-packaged software will be described. A software packaging domain model will be introduced, and some existing packaging approaches examined. An example case study of a Reuse Enablement System (RES), currently being created by near-term Earth science decadal survey missions, will provide information about the use of the domain model. Awareness of these factors will help software developers package their reusable assets so that they can provide the most benefits for software reuse.

Computer Science Career Network

DTIC Science & Technology

2013-03-01

development model. TopCoder’s development model is competition-based, meaning that TopCoder conducts competitions to develop digital assets. TopCoder...success in running a competition that had as an objective creating digital assets, and we intend to run more of them, to create assets for...cash prizes and merchandise . This includes social media contests, contests will all our games, special referral contests, and a couple NASA

Corps Communications for the Airland Battle

DTIC Science & Technology

1985-04-01

intelligence , fire support. 111 wm mssemm vvw* m » ’■I.|J|.’■,■■*.■■.■ ■;■’!■». p i JL ■ .■.’.■, .■i». ■. ■ ■ ■. ■■ ■ ———-— im ^’ air de-fense...logistics support. The system must be flexible to support the pace of maneuver, it must have extensive range to support surveillance, intelligence and the...Command and Control, Intelligence , Fire Support, etc.) must be adjusted to correspond to the new mission. Communications assets must be allocated

East Europe Report, Economic and Industrial Affairs

DTIC Science & Technology

1984-09-11

added (UW) , return on production assets ( RVF ), profit and exports. These categories characterize the results of the work of the whole organization...prescribed goals No of VHJ’s Increase No of VHJ’s Decrease UW (mil. of Kcs) 9 147.5 6 184.8 Profit (mil. of Kcs) 6 66.0 8 289.0 RVF /return on prod. 7... RVF (percentage) No of Workers ZSMP (mil. of Kcs) PSMP (mil. of Kcs) Average Wage (Kcs) Allocation from Profits to FR (mil. of Kcs) VHJ’s with

The Heterogeneous Investment Horizon and Dynamic Strategies for Asset Allocation

NASA Astrophysics Data System (ADS)

Xiong, Heping; Xu, Yiheng; Xiao, Yi

This paper discusses the influence of the portfolio rebalancing strategy on the efficiency of long-term investment portfolios under the assumption of independent stationary distribution of returns. By comparing the efficient sets of the stochastic rebalancing strategy, the simple rebalancing strategy and the buy-and-hold strategy with specific data examples, we find that the stochastic rebalancing strategy is optimal, while the simple rebalancing strategy is of the lowest efficiency. In addition, the simple rebalancing strategy lowers the efficiency of the portfolio instead of improving it.

Application of the system of environmental economic accounting for water SEEAW to the Spanish part of the Duero basin: Lessons learned.

PubMed

Vicente, D J; Rodríguez-Sinobas, L; Garrote, L; Sánchez, R

2016-09-01

The System of Environmental-Economic Accounting for Water (SEEA-W) consists of an agreed international framework for organizing hydrological and economic information in a coherent and consistent manner. The methodology yields to the SEEA-W physical tables focusing on the quantitative assessment of the stocks and their changes in a river basin during the accounting period. For that purpose, the information on the abstraction and water discharge is linked with the environment water stocks, which assesses how current levels of abstraction and discharge affect such water stocks. This study presents the methodology and results to fill out the SEEAW tables for asset accounts on the Spanish Duero basin. Duero is a transboundary river between Spain and Portugal where 80% of its basin area (78,860km(2)) runs into the Spanish territory. The Spanish part is divided in five zones and 13 management systems. The methodology applied the three models used by the Spanish Water Authorities for the planning and allocation of water resources in Spain: 'SIMPA' model (rainfall-runoff model), 'ASTER' model (hydro-meteorological model related to snow processes) and 'SIMGES' model (water management simulation model). The required information was collected with the support from the Duero River basin Authority and the Spanish Ministry of Agriculture. Special care was paid to issues such as: inter-annual variability, the selection of spatial and temporal scale, seasonality, disaggregation of human abstractions into use's type, and transboundary agreements. The results highlighted some drawbacks in the SEEAW methodology for the Duero basin. However, the developed balances are a valuable tool to support the decisions of the Spanish Duero basin Authority on the management and allocation of water in the basin and in the transboundary area with Portugal. Finally, the paper outlines some recommendations for future work. Copyright © 2016 Elsevier B.V. All rights reserved.

Asset management inventory and data collection.

DOT National Transportation Integrated Search

2009-10-01

An efficient and accurate inventory of a state highway agencys assets, along with the means to assess the condition : of those assets and model their performance, is critical to enabling an agency to make informed investment decisions : in a Trans...

Dynamic fair node spectrum allocation for ad hoc networks using random matrices

NASA Astrophysics Data System (ADS)

Rahmes, Mark; Lemieux, George; Chester, Dave; Sonnenberg, Jerry

2015-05-01

Dynamic Spectrum Access (DSA) is widely seen as a solution to the problem of limited spectrum, because of its ability to adapt the operating frequency of a radio. Mobile Ad Hoc Networks (MANETs) can extend high-capacity mobile communications over large areas where fixed and tethered-mobile systems are not available. In one use case with high potential impact, cognitive radio employs spectrum sensing to facilitate the identification of allocated frequencies not currently accessed by their primary users. Primary users own the rights to radiate at a specific frequency and geographic location, while secondary users opportunistically attempt to radiate at a specific frequency when the primary user is not using it. We populate a spatial radio environment map (REM) database with known information that can be leveraged in an ad hoc network to facilitate fair path use of the DSA-discovered links. Utilization of high-resolution geospatial data layers in RF propagation analysis is directly applicable. Random matrix theory (RMT) is useful in simulating network layer usage in nodes by a Wishart adjacency matrix. We use the Dijkstra algorithm for discovering ad hoc network node connection patterns. We present a method for analysts to dynamically allocate node-node path and link resources using fair division. User allocation of limited resources as a function of time must be dynamic and based on system fairness policies. The context of fair means that first available request for an asset is not envied as long as it is not yet allocated or tasked in order to prevent cycling of the system. This solution may also save money by offering a Pareto efficient repeatable process. We use a water fill queue algorithm to include Shapley value marginal contributions for allocation.

The capital-asset-pricing model and arbitrage pricing theory: a unification.

PubMed

Ali Khan, M; Sun, Y

1997-04-15

We present a model of a financial market in which naive diversification, based simply on portfolio size and obtained as a consequence of the law of large numbers, is distinguished from efficient diversification, based on mean-variance analysis. This distinction yields a valuation formula involving only the essential risk embodied in an asset's return, where the overall risk can be decomposed into a systematic and an unsystematic part, as in the arbitrage pricing theory; and the systematic component further decomposed into an essential and an inessential part, as in the capital-asset-pricing model. The two theories are thus unified, and their individual asset-pricing formulas shown to be equivalent to the pervasive economic principle of no arbitrage. The factors in the model are endogenously chosen by a procedure analogous to the Karhunen-Loéve expansion of continuous time stochastic processes; it has an optimality property justifying the use of a relatively small number of them to describe the underlying correlational structures. Our idealized limit model is based on a continuum of assets indexed by a hyperfinite Loeb measure space, and it is asymptotically implementable in a setting with a large but finite number of assets. Because the difficulties in the formulation of the law of large numbers with a standard continuum of random variables are well known, the model uncovers some basic phenomena not amenable to classical methods, and whose approximate counterparts are not already, or even readily, apparent in the asymptotic setting.

Heterogeneous belief and asset returns

NASA Astrophysics Data System (ADS)

Lei-Sun, Wen-Zou, Hui

2014-10-01

Based on DSSW model, this paper introduces the noise traders with heterogeneous belief. With an equilibrium analysis, this paper examines the return of risky asset. The results show that the belief biases, the probability of economy state, the degree of the heterogeneous noise trader's aversion risk, the coefficient between heterogeneous noise traders are all the factors that have effects on the risky asset pricing and the return of risky asset.

A study about the existence of the leverage effect in stochastic volatility models

NASA Astrophysics Data System (ADS)

Florescu, Ionuţ; Pãsãricã, Cristian Gabriel

2009-02-01

The empirical relationship between the return of an asset and the volatility of the asset has been well documented in the financial literature. Named the leverage effect or sometimes risk-premium effect, it is observed in real data that, when the return of the asset decreases, the volatility increases and vice versa. Consequently, it is important to demonstrate that any formulated model for the asset price is capable of generating this effect observed in practice. Furthermore, we need to understand the conditions on the parameters present in the model that guarantee the apparition of the leverage effect. In this paper we analyze two general specifications of stochastic volatility models and their capability of generating the perceived leverage effect. We derive conditions for the apparition of leverage effect in both of these stochastic volatility models. We exemplify using stochastic volatility models used in practice and we explicitly state the conditions for the existence of the leverage effect in these examples.

An Overview of Intellectual Property and Intangible Asset Valuation Models

ERIC Educational Resources Information Center

Matsuura, Jeffrey H.

2004-01-01

This paper reviews the economic models most commonly applied to estimate the value of intellectual property and other forms of intangible assets. It highlights the key strengths and weaknesses of these models. One of the apparent weaknesses of the most commonly used valuation models is the failure to incorporate legal rights into their…

Retrading, production, and asset market performance.

PubMed

Gjerstad, Steven D; Porter, David; Smith, Vernon L; Winn, Abel

2015-11-24

Prior studies have shown that traders quickly converge to the price-quantity equilibrium in markets for goods that are immediately consumed, but they produce speculative price bubbles in resalable asset markets. We present a stock-flow model of durable assets in which the existing stock of assets is subject to depreciation and producers may produce additional units of the asset. In our laboratory experiments inexperienced consumers who can resell their units disregard the consumption value of the assets and compete vigorously with producers, depressing prices and production. Consumers who have first participated in experiments without resale learn to heed their consumption values and, when they are given the option to resell, trade at equilibrium prices. Reproducibility is therefore the most natural and most effective treatment for suppression of bubbles in asset market experiments.

Retrading, production, and asset market performance

PubMed Central

Gjerstad, Steven D.; Porter, David; Smith, Vernon L.; Winn, Abel

2015-01-01

Prior studies have shown that traders quickly converge to the price–quantity equilibrium in markets for goods that are immediately consumed, but they produce speculative price bubbles in resalable asset markets. We present a stock-flow model of durable assets in which the existing stock of assets is subject to depreciation and producers may produce additional units of the asset. In our laboratory experiments inexperienced consumers who can resell their units disregard the consumption value of the assets and compete vigorously with producers, depressing prices and production. Consumers who have first participated in experiments without resale learn to heed their consumption values and, when they are given the option to resell, trade at equilibrium prices. Reproducibility is therefore the most natural and most effective treatment for suppression of bubbles in asset market experiments. PMID:26553991

Bankruptcy risk model and empirical tests

PubMed Central

Podobnik, Boris; Horvatic, Davor; Petersen, Alexander M.; Urošević, Branko; Stanley, H. Eugene

2010-01-01

We analyze the size dependence and temporal stability of firm bankruptcy risk in the US economy by applying Zipf scaling techniques. We focus on a single risk factor—the debt-to-asset ratio R—in order to study the stability of the Zipf distribution of R over time. We find that the Zipf exponent increases during market crashes, implying that firms go bankrupt with larger values of R. Based on the Zipf analysis, we employ Bayes’s theorem and relate the conditional probability that a bankrupt firm has a ratio R with the conditional probability of bankruptcy for a firm with a given R value. For 2,737 bankrupt firms, we demonstrate size dependence in assets change during the bankruptcy proceedings. Prepetition firm assets and petition firm assets follow Zipf distributions but with different exponents, meaning that firms with smaller assets adjust their assets more than firms with larger assets during the bankruptcy process. We compare bankrupt firms with nonbankrupt firms by analyzing the assets and liabilities of two large subsets of the US economy: 2,545 Nasdaq members and 1,680 New York Stock Exchange (NYSE) members. We find that both assets and liabilities follow a Pareto distribution. The finding is not a trivial consequence of the Zipf scaling relationship of firm size quantified by employees—although the market capitalization of Nasdaq stocks follows a Pareto distribution, the same distribution does not describe NYSE stocks. We propose a coupled Simon model that simultaneously evolves both assets and debt with the possibility of bankruptcy, and we also consider the possibility of firm mergers. PMID:20937903

Development of Mobile Mapping System for 3D Road Asset Inventory.

PubMed

Sairam, Nivedita; Nagarajan, Sudhagar; Ornitz, Scott

2016-03-12

Asset Management is an important component of an infrastructure project. A significant cost is involved in maintaining and updating the asset information. Data collection is the most time-consuming task in the development of an asset management system. In order to reduce the time and cost involved in data collection, this paper proposes a low cost Mobile Mapping System using an equipped laser scanner and cameras. First, the feasibility of low cost sensors for 3D asset inventory is discussed by deriving appropriate sensor models. Then, through calibration procedures, respective alignments of the laser scanner, cameras, Inertial Measurement Unit and GPS (Global Positioning System) antenna are determined. The efficiency of this Mobile Mapping System is experimented by mounting it on a truck and golf cart. By using derived sensor models, geo-referenced images and 3D point clouds are derived. After validating the quality of the derived data, the paper provides a framework to extract road assets both automatically and manually using techniques implementing RANSAC plane fitting and edge extraction algorithms. Then the scope of such extraction techniques along with a sample GIS (Geographic Information System) database structure for unified 3D asset inventory are discussed.

Development of Mobile Mapping System for 3D Road Asset Inventory

PubMed Central

Sairam, Nivedita; Nagarajan, Sudhagar; Ornitz, Scott

2016-01-01

Asset Management is an important component of an infrastructure project. A significant cost is involved in maintaining and updating the asset information. Data collection is the most time-consuming task in the development of an asset management system. In order to reduce the time and cost involved in data collection, this paper proposes a low cost Mobile Mapping System using an equipped laser scanner and cameras. First, the feasibility of low cost sensors for 3D asset inventory is discussed by deriving appropriate sensor models. Then, through calibration procedures, respective alignments of the laser scanner, cameras, Inertial Measurement Unit and GPS (Global Positioning System) antenna are determined. The efficiency of this Mobile Mapping System is experimented by mounting it on a truck and golf cart. By using derived sensor models, geo-referenced images and 3D point clouds are derived. After validating the quality of the derived data, the paper provides a framework to extract road assets both automatically and manually using techniques implementing RANSAC plane fitting and edge extraction algorithms. Then the scope of such extraction techniques along with a sample GIS (Geographic Information System) database structure for unified 3D asset inventory are discussed. PMID:26985897

Professional Competence and Higher Education: The ASSET Programme.

ERIC Educational Resources Information Center

Winter, Richard; Maisch, Maire

This book describes the ASSET (Accreditation for Social Services Experience and Training) Program, a British program which addresses the need for effective education and development of social workers and a model variant of ASSET used to train engineers. The work draws on three different traditions: the principles of National Vocational…

24 CFR 990.260 - Applicability.

Code of Federal Regulations, 2010 CFR

2010-04-01

... THE PUBLIC HOUSING OPERATING FUND PROGRAM Asset Management § 990.260 Applicability. (a) PHAs that own... units, are required to operate using an asset management model consistent with this subpart. (b) PHAs... project. However, if a PHA selects this option, it will not receive the add-on for the asset management...

Advancements in Risk-Informed Performance-Based Asset Management for Commercial Nuclear Power Plants

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liming, James K.; Ravindra, Mayasandra K.

2006-07-01

Over the past several years, ABSG Consulting Inc. (ABS Consulting) and the South Texas Project Nuclear Operating Company (STPNOC) have developed a decision support process and associated software for risk-informed, performance-based asset management (RIPBAM) of nuclear power plant facilities. RIPBAM applies probabilistic risk assessment (PRA) tools and techniques in the realm of plant physical and financial asset management. The RIPBAM process applies a tiered set of models and supporting performance measures (or metrics) that can ultimately be applied to support decisions affecting the allocation and management of plant resources (e.g., funding, staffing, scheduling, etc.). In general, the ultimate goal ofmore » the RIPBAM process is to continually support decision-making to maximize a facility's net present value (NPV) and long-term profitability for its owners. While the initial applications of RIPBAM have been for nuclear power stations, the methodology can easily be adapted to other types of power station or complex facility decision-making support. RIPBAM can also be designed to focus on performance metrics other than NPV and profitability (e.g., mission reliability, operational availability, probability of mission success per dollar invested, etc.). Recent advancements in the RIPBAM process focus on expanding the scope of previous RIPBAM applications to include not only operations, maintenance, and safety issues, but also broader risk perception components affecting plant owner (stockholder), operator, and regulator biases. Conceptually, RIPBAM is a comprehensive risk-informed cash flow model for decision support. It originated as a tool to help manage plant refueling outage scheduling, and was later expanded to include the full spectrum of operations and maintenance decision support. However, it differs from conventional business modeling tools in that it employs a systems engineering approach with broadly based probabilistic analysis of organizational 'value streams'. The scope of value stream inclusion in the process can be established by the user, but in its broadest applications, RIPBAM can be used to address how risk perceptions of plant owners and regulators are impacted by plant performance. Plant staffs can expand and refine RIPBAM models scope via a phased program of activities over time. This paper shows how the multi-metric uncertainty analysis feature of RIPBAM can apply a wide spectrum of decision-influencing factors to support decisions designed to maximize the probability of achieving, maintaining, and improving upon plant goals and objectives. In this paper, the authors show how this approach can be extremely valuable to plant owners and operators in supporting plant value-impacting decision-making processes. (authors)« less

Surveillance system and method having parameter estimation and operating mode partitioning

NASA Technical Reports Server (NTRS)

Bickford, Randall L. (Inventor)

2003-01-01

A system and method for monitoring an apparatus or process asset including partitioning an unpartitioned training data set into a plurality of training data subsets each having an operating mode associated thereto; creating a process model comprised of a plurality of process submodels each trained as a function of at least one of the training data subsets; acquiring a current set of observed signal data values from the asset; determining an operating mode of the asset for the current set of observed signal data values; selecting a process submodel from the process model as a function of the determined operating mode of the asset; calculating a current set of estimated signal data values from the selected process submodel for the determined operating mode; and outputting the calculated current set of estimated signal data values for providing asset surveillance and/or control.

Top 10 Steps to Business Success

NASA Astrophysics Data System (ADS)

Arnold, Gianna

2013-03-01

What does it really take to build a successful technology based company? This fast paced and interactive discussion will highlite potential missteps as well as actions that increase the likelihood of success. Topics under consideration will include: how to begin, creating an organizational structure, creating a plan, selecting a name, financing, allocating resources as efficiently as possible, building a team, protecting intangible assets, strategic alliances, obtaining revenue and transitioning from startup to growth. The primary goal of this presentation is to help you identify value-creating practices as well as wasteful practices, while providing the general nuts and bolts required to move forward.

Reinforcement Learning and Savings Behavior.

PubMed

Choi, James J; Laibson, David; Madrian, Brigitte C; Metrick, Andrew

2009-12-01

We show that individual investors over-extrapolate from their personal experience when making savings decisions. Investors who experience particularly rewarding outcomes from saving in their 401(k)-a high average and/or low variance return-increase their 401(k) savings rate more than investors who have less rewarding experiences with saving. This finding is not driven by aggregate time-series shocks, income effects, rational learning about investing skill, investor fixed effects, or time-varying investor-level heterogeneity that is correlated with portfolio allocations to stock, bond, and cash asset classes. We discuss implications for the equity premium puzzle and interventions aimed at improving household financial outcomes.

Imputing Risk Tolerance From Survey Responses

PubMed Central

Kimball, Miles S.; Sahm, Claudia R.; Shapiro, Matthew D.

2010-01-01

Economic theory assigns a central role to risk preferences. This article develops a measure of relative risk tolerance using responses to hypothetical income gambles in the Health and Retirement Study. In contrast to most survey measures that produce an ordinal metric, this article shows how to construct a cardinal proxy for the risk tolerance of each survey respondent. The article also shows how to account for measurement error in estimating this proxy and how to obtain consistent regression estimates despite the measurement error. The risk tolerance proxy is shown to explain differences in asset allocation across households. PMID:20407599

Simplification and Saving

PubMed Central

Beshears, John; Choi, James J.; Laibson, David; Madrian, Brigitte C.

2012-01-01

The daunting complexity of important financial decisions can lead to procrastination. We evaluate a low-cost intervention that substantially simplifies the retirement savings plan participation decision. Individuals received an opportunity to enroll in a retirement savings plan at a pre-selected contribution rate and asset allocation, allowing them to collapse a multidimensional problem into a binary choice between the status quo and the pre-selected alternative. The intervention increases plan enrollment rates by 10 to 20 percentage points. We find that a similar intervention can be used to increase contribution rates among employees who are already participating in a savings plan. PMID:24443619

Exploring Bim for Operational Integrated Asset Management - a Preliminary Study Utilising Real-World Infrastructure Data

NASA Astrophysics Data System (ADS)

Boyes, G. A.; Ellul, C.; Irwin, D.

2017-10-01

The use of 3D information models within collaborative working environments and the practice of Building Information Modelling (BIM) are becoming more commonplace within infrastructure projects. Currently used predominantly during the design and construction phase, the use of BIM is capable in theory of providing the information at handover that will satisfy the Asset Information Requirements (AIRs) of the future Infrastructure Manager (IM). One particular challenge is establishing a link between existing construction-centric information and the asset-centric information needed for future operations. Crossrail, a project to build a new high-frequency railway underneath London, is handling many such challenges as they prepare to handover their digital information to the future operator, in particular the need to provide a two-way link between a federated 3D CAD model and an object-relational Asset Information Management System (AIMS). This paper focusses on the potential for improved Asset Management (AM) by integrating BIM and GIS systems and practices, and makes a preliminary report on how 3D spatial queries can be used to establish a two-way relational link between two information systems (3D geometry and asset lists), as well as the challenges being overcome to transform the data to be suitable for AM.

Functional Flow and Event-Driven Methods for Predicting System Performance

DTIC Science & Technology

2015-09-01

The thesis process was difficult and at times painful , but the modeling applications were something that I thoroughly enjoyed working through and...21. 2. SAR Mission initiates; SAR Assets conduct search but no objects of interest are found; SAR assets continue to scan but OSC aborts mission...be related to the SAR, so the OSC aborts mission and all Assets RTB. 45 4. SAR Mission initiates; SAR Assets conduct search and find an object of

Investigating General and Specific Links from Adolescents' Perceptions of Ecological Assets to Their Civic Actions

ERIC Educational Resources Information Center

Wray-Lake, Laura; Sloper, Michelle A.

2016-01-01

Civic engagement is an important marker of thriving among adolescents, and more research is needed that clarifies the ecological assets (positive supports across settings) that foster youth civic engagement. Simultaneously modeling associations between multiple ecological assets and civic behaviors can provide a nuanced view of the way…

Managing Cultural Assets from a Business Perspective.

ERIC Educational Resources Information Center

Price, Laura; Smith, Abby

Without understanding the value of collections as assets to the home institution, it is difficult for libraries to determine how best to make those assets most productive. This report describes how the Library of Congress developed and implemented a plan for greater accountability over its collections. The report presents a model for the…

75 FR 29571 - Notice of Proposed Information Collection for Public Comment; Training Evaluation Form

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-26

... public housing agencies (PHAs) and establishes requirements for PHAs to convert to asset management... regarding asset management. Under Sec. 990.260(a), PHAs that own and operate 250 or more dwelling rental units must operate using an asset management model consistent with the subpart H regulations. However...

Network analysis of a financial market based on genuine correlation and threshold method

NASA Astrophysics Data System (ADS)

Namaki, A.; Shirazi, A. H.; Raei, R.; Jafari, G. R.

2011-10-01

A financial market is an example of an adaptive complex network consisting of many interacting units. This network reflects market’s behavior. In this paper, we use Random Matrix Theory (RMT) notion for specifying the largest eigenvector of correlation matrix as the market mode of stock network. For a better risk management, we clean the correlation matrix by removing the market mode from data and then construct this matrix based on the residuals. We show that this technique has an important effect on correlation coefficient distribution by applying it for Dow Jones Industrial Average (DJIA). To study the topological structure of a network we apply the removing market mode technique and the threshold method to Tehran Stock Exchange (TSE) as an example. We show that this network follows a power-law model in certain intervals. We also show the behavior of clustering coefficients and component numbers of this network for different thresholds. These outputs are useful for both theoretical and practical purposes such as asset allocation and risk management.

Asset Attribution Stability and Portfolio Construction: An Educational Example

ERIC Educational Resources Information Center

Chong, James T.; Jennings, William P.; Phillips, G. Michael

2014-01-01

This paper illustrates how a third statistic from asset pricing models, the R-squared statistic, may have information that can help in portfolio construction. Using a traditional CAPM model in comparison to an 18-factor Arbitrage Pricing Style Model, a portfolio separation test is conducted. Portfolio returns and risk metrics are compared using…

The risk of misclassifying subjects within principal component based asset index

PubMed Central

2014-01-01

The asset index is often used as a measure of socioeconomic status in empirical research as an explanatory variable or to control confounding. Principal component analysis (PCA) is frequently used to create the asset index. We conducted a simulation study to explore how accurately the principal component based asset index reflects the study subjects’ actual poverty level, when the actual poverty level is generated by a simple factor analytic model. In the simulation study using the PC-based asset index, only 1% to 4% of subjects preserved their real position in a quintile scale of assets; between 44% to 82% of subjects were misclassified into the wrong asset quintile. If the PC-based asset index explained less than 30% of the total variance in the component variables, then we consistently observed more than 50% misclassification across quintiles of the index. The frequency of misclassification suggests that the PC-based asset index may not provide a valid measure of poverty level and should be used cautiously as a measure of socioeconomic status. PMID:24987446

Women's Individual Asset Ownership and Experience of Intimate Partner Violence: Evidence From 28 International Surveys.

PubMed

Peterman, Amber; Pereira, Audrey; Bleck, Jennifer; Palermo, Tia M; Yount, Kathryn M

2017-05-01

To assess the oft-perceived protective relationship between women's asset ownership and experience of intimate partner violence (IPV) in the previous 12 months. We used international survey data from women aged 15 to 49 years from 28 Demographic and Health Surveys (2010-2014) to examine the association between owning assets and experience of recent IPV, matching on household wealth by using multivariate probit models. Matching methods helped to account for the higher probability that women in wealthier households also have a higher likelihood of owning assets. Asset ownership of any type was negatively associated with IPV in 3 countries, positively associated in 5 countries, and had no significant relationship in 20 countries (P < .10). Disaggregation by asset type, sole or joint ownership, women's age, and community level of women's asset ownership similarly showed no conclusive patterns. Results suggest that the relationship between women's asset ownership and IPV is highly context specific. Additional methodologies and data are needed to identify causality, and to understand how asset ownership differs from other types of women's economic empowerment.

Critical asset and portfolio risk analysis: an all-hazards framework.

PubMed

Ayyub, Bilal M; McGill, William L; Kaminskiy, Mark

2007-08-01

This article develops a quantitative all-hazards framework for critical asset and portfolio risk analysis (CAPRA) that considers both natural and human-caused hazards. Following a discussion on the nature of security threats, the need for actionable risk assessments, and the distinction between asset and portfolio-level analysis, a general formula for all-hazards risk analysis is obtained that resembles the traditional model based on the notional product of consequence, vulnerability, and threat, though with clear meanings assigned to each parameter. Furthermore, a simple portfolio consequence model is presented that yields first-order estimates of interdependency effects following a successful attack on an asset. Moreover, depending on the needs of the decisions being made and available analytical resources, values for the parameters in this model can be obtained at a high level or through detailed systems analysis. Several illustrative examples of the CAPRA methodology are provided.

Asset Prices and Trading Volume under Fixed Transactions Costs.

ERIC Educational Resources Information Center

Lo, Andrew W.; Mamaysky, Harry; Wang, Jiang

2004-01-01

We propose a dynamic equilibrium model of asset prices and trading volume when agents face fixed transactions costs. We show that even small fixed costs can give rise to large "no-trade" regions for each agent's optimal trading policy. The inability to trade more frequently reduces the agents' asset demand and in equilibrium gives rise to a…

Constellation Ground Systems Launch Availability Analysis: Enhancing Highly Reliable Launch Systems Design

NASA Technical Reports Server (NTRS)

Gernand, Jeffrey L.; Gillespie, Amanda M.; Monaghan, Mark W.; Cummings, Nicholas H.

2010-01-01

Success of the Constellation Program's lunar architecture requires successfully launching two vehicles, Ares I/Orion and Ares V/Altair, in a very limited time period. The reliability and maintainability of flight vehicles and ground systems must deliver a high probability of successfully launching the second vehicle in order to avoid wasting the on-orbit asset launched by the first vehicle. The Ground Operations Project determined which ground subsystems had the potential to affect the probability of the second launch and allocated quantitative availability requirements to these subsystems. The Ground Operations Project also developed a methodology to estimate subsystem reliability, availability and maintainability to ensure that ground subsystems complied with allocated launch availability and maintainability requirements. The verification analysis developed quantitative estimates of subsystem availability based on design documentation; testing results, and other information. Where appropriate, actual performance history was used for legacy subsystems or comparative components that will support Constellation. The results of the verification analysis will be used to verify compliance with requirements and to highlight design or performance shortcomings for further decision-making. This case study will discuss the subsystem requirements allocation process, describe the ground systems methodology for completing quantitative reliability, availability and maintainability analysis, and present findings and observation based on analysis leading to the Ground Systems Preliminary Design Review milestone.

Prognostic and health management of active assets in nuclear power plants

DOE Office of Scientific and Technical Information (OSTI.GOV)

Agarwal, Vivek; Lybeck, Nancy; Pham, Binh T.

This study presents the development of diagnostic and prognostic capabilities for active assets in nuclear power plants (NPPs). The research was performed under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability Program. Idaho National Laboratory researched, developed, implemented, and demonstrated diagnostic and prognostic models for generator step-up transformers (GSUs). The Fleet-Wide Prognostic and Health Management (FW-PHM) Suite software developed by the Electric Power Research Institute was used to perform diagnosis and prognosis. As part of the research activity, Idaho National Laboratory implemented 22 GSU diagnostic models in the Asset Fault Signature Database and twomore » wellestablished GSU prognostic models for the paper winding insulation in the Remaining Useful Life Database of the FW-PHM Suite. The implemented models along with a simulated fault data stream were used to evaluate the diagnostic and prognostic capabilities of the FW-PHM Suite. Knowledge of the operating condition of plant asset gained from diagnosis and prognosis is critical for the safe, productive, and economical long-term operation of the current fleet of NPPs. This research addresses some of the gaps in the current state of technology development and enables effective application of diagnostics and prognostics to nuclear plant assets.« less

Prognostic and health management of active assets in nuclear power plants

DOE PAGES

Agarwal, Vivek; Lybeck, Nancy; Pham, Binh T.; ...

2015-06-04

This study presents the development of diagnostic and prognostic capabilities for active assets in nuclear power plants (NPPs). The research was performed under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability Program. Idaho National Laboratory researched, developed, implemented, and demonstrated diagnostic and prognostic models for generator step-up transformers (GSUs). The Fleet-Wide Prognostic and Health Management (FW-PHM) Suite software developed by the Electric Power Research Institute was used to perform diagnosis and prognosis. As part of the research activity, Idaho National Laboratory implemented 22 GSU diagnostic models in the Asset Fault Signature Database and twomore » wellestablished GSU prognostic models for the paper winding insulation in the Remaining Useful Life Database of the FW-PHM Suite. The implemented models along with a simulated fault data stream were used to evaluate the diagnostic and prognostic capabilities of the FW-PHM Suite. Knowledge of the operating condition of plant asset gained from diagnosis and prognosis is critical for the safe, productive, and economical long-term operation of the current fleet of NPPs. This research addresses some of the gaps in the current state of technology development and enables effective application of diagnostics and prognostics to nuclear plant assets.« less

Stochastic volatility models and Kelvin waves

NASA Astrophysics Data System (ADS)

Lipton, Alex; Sepp, Artur

2008-08-01

We use stochastic volatility models to describe the evolution of an asset price, its instantaneous volatility and its realized volatility. In particular, we concentrate on the Stein and Stein model (SSM) (1991) for the stochastic asset volatility and the Heston model (HM) (1993) for the stochastic asset variance. By construction, the volatility is not sign definite in SSM and is non-negative in HM. It is well known that both models produce closed-form expressions for the prices of vanilla option via the Lewis-Lipton formula. However, the numerical pricing of exotic options by means of the finite difference and Monte Carlo methods is much more complex for HM than for SSM. Until now, this complexity was considered to be an acceptable price to pay for ensuring that the asset volatility is non-negative. We argue that having negative stochastic volatility is a psychological rather than financial or mathematical problem, and advocate using SSM rather than HM in most applications. We extend SSM by adding volatility jumps and obtain a closed-form expression for the density of the asset price and its realized volatility. We also show that the current method of choice for solving pricing problems with stochastic volatility (via the affine ansatz for the Fourier-transformed density function) can be traced back to the Kelvin method designed in the 19th century for studying wave motion problems arising in fluid dynamics.

Early Adolescents' Emotional Well-Being in the Classroom: The Role of Personal and Contextual Assets.

PubMed

Oberle, Eva

2018-02-01

The objective was to predict early adolescents' emotional well-being from personal and contextual assets in the classroom. Emotional well-being is a key indicator of health. Aligned with the positive youth development (PYD) framework, a supportive classroom environment and positive relationships with teachers and peers were contextual assets in the present study; positive self-concept was a personal asset. The sample was 406 grade 4 to 7 public elementary school students from diverse backgrounds (mean = 11.27 years; SD = 0.89; 50% female). Data were self-, teacher-, and peer-reported. Structural equation modeling (SEM) analyses were used to evaluate model fit and identify significant pathways. SEM indicated a good model fit. Overall, 68% of variability in early adolescents' emotional well-being was explained. Positive self-concept directly predicted emotional well-being. Supportive classroom environment predicted emotional well-being directly and indirectly through increases in positive social relationships and self-concept. Positive social relationships predicted well-being only indirectly through positive self-concept. Contextual and personal assets are central for early adolescents' emotional well-being. The interrelation among assets needs to be considered when understanding, and ultimately promoting students' emotional well-being. The present findings extend previous research and inform school-based intervention and prevention programming and teacher professional development. © 2018, American School Health Association.

Private management and public finance in the Italian water industry: A marriage of convenience?

NASA Astrophysics Data System (ADS)

Massarutto, Antonio; Paccagnan, Vania; Linares, Elisabetta

2008-12-01

In many countries, reforms of water and sanitation utilities have favored private sector participation. The drivers of this trend are the need to improve efficiency, professional capabilities of service operations, and willingness to relieve public budgets of the heavy burden of investment. Scant attention has been devoted to the great impact this strategy can have on water bills because of the higher cost of capital that is implicit, given the economic risk that the private sector is required to accept. Since it is a capital-intensive industry with a long economic life of its assets, the water industry is particularly vulnerable to the cost of capital. This creates the case for publicly-supported financial schemes in order to keep this cost as low as possible and guarantee long-run viability as well as affordability. The Italian water industry is an excellent case study to investigate the importance of this situation: in the last 15 years, a far-reaching reform has been introduced with the aim of substituting a financing model, based entirely on public spending, with one delegating financial responsibilities to operators through full-cost recovery. Our simulations show that delegating all responsibilities and risks to the private sector can lead to unsustainable price increases once replacement of existing assets are required. The solution is not to give up full-cost recovery, but rather to search for risk allocation patterns that are more coherent with the risk profile of the water industry and help keeping the cost of capital low.

The capital-asset-pricing model and arbitrage pricing theory: A unification

PubMed Central

Khan, M. Ali; Sun, Yeneng

1997-01-01

We present a model of a financial market in which naive diversification, based simply on portfolio size and obtained as a consequence of the law of large numbers, is distinguished from efficient diversification, based on mean-variance analysis. This distinction yields a valuation formula involving only the essential risk embodied in an asset’s return, where the overall risk can be decomposed into a systematic and an unsystematic part, as in the arbitrage pricing theory; and the systematic component further decomposed into an essential and an inessential part, as in the capital-asset-pricing model. The two theories are thus unified, and their individual asset-pricing formulas shown to be equivalent to the pervasive economic principle of no arbitrage. The factors in the model are endogenously chosen by a procedure analogous to the Karhunen–Loéve expansion of continuous time stochastic processes; it has an optimality property justifying the use of a relatively small number of them to describe the underlying correlational structures. Our idealized limit model is based on a continuum of assets indexed by a hyperfinite Loeb measure space, and it is asymptotically implementable in a setting with a large but finite number of assets. Because the difficulties in the formulation of the law of large numbers with a standard continuum of random variables are well known, the model uncovers some basic phenomena not amenable to classical methods, and whose approximate counterparts are not already, or even readily, apparent in the asymptotic setting. PMID:11038614

DEFINED CONTRIBUTION PLANS, DEFINED BENEFIT PLANS, AND THE ACCUMULATION OF RETIREMENT WEALTH

PubMed Central

Poterba, James; Rauh, Joshua; Venti, Steven; Wise, David

2010-01-01

The private pension structure in the United States, once dominated by defined benefit (DB) plans, is currently divided between defined contribution (DC) and DB plans. Wealth accumulation in DC plans depends on the participant's contribution behavior and on financial market returns, while accumulation in DB plans is sensitive to a participant's labor market experience and to plan parameters. This paper simulates the distribution of retirement wealth under representative DB and DC plans. It uses data from the Health and Retirement Study (HRS) to explore how asset returns, earnings histories, and retirement plan characteristics contribute to the variation in retirement wealth outcomes. We simulate DC plan accumulation by randomly assigning individuals a share of wages that they and their employer contribute to the plan. We consider several possible asset allocation strategies, with asset returns drawn from the historical return distribution. Our DB plan simulations draw earnings histories from the HRS, and randomly assign each individual a pension plan drawn from a sample of large private and public defined benefit plans. The simulations yield distributions of both DC and DB wealth at retirement. Average retirement wealth accruals under current DC plans exceed average accruals under private sector DB plans, although DC plans are also more likely to generate very low retirement wealth outcomes. The comparison of current DC plans with more generous public sector DB plans is less definitive, because public sector DB plans are more generous on average than their private sector counterparts. PMID:21057597

Tasking and sharing sensing assets using controlled natural language

NASA Astrophysics Data System (ADS)

Preece, Alun; Pizzocaro, Diego; Braines, David; Mott, David

2012-06-01

We introduce an approach to representing intelligence, surveillance, and reconnaissance (ISR) tasks at a relatively high level in controlled natural language. We demonstrate that this facilitates both human interpretation and machine processing of tasks. More specically, it allows the automatic assignment of sensing assets to tasks, and the informed sharing of tasks between collaborating users in a coalition environment. To enable automatic matching of sensor types to tasks, we created a machine-processable knowledge representation based on the Military Missions and Means Framework (MMF), and implemented a semantic reasoner to match task types to sensor types. We combined this mechanism with a sensor-task assignment procedure based on a well-known distributed protocol for resource allocation. In this paper, we re-formulate the MMF ontology in Controlled English (CE), a type of controlled natural language designed to be readable by a native English speaker whilst representing information in a structured, unambiguous form to facilitate machine processing. We show how CE can be used to describe both ISR tasks (for example, detection, localization, or identication of particular kinds of object) and sensing assets (for example, acoustic, visual, or seismic sensors, mounted on motes or unmanned vehicles). We show how these representations enable an automatic sensor-task assignment process. Where a group of users are cooperating in a coalition, we show how CE task summaries give users in the eld a high-level picture of ISR coverage of an area of interest. This allows them to make ecient use of sensing resources by sharing tasks.

Getting Digital Assets from Public-Private Partnership Research Projects through "The Valley of Death," and Making Them Sustainable.

PubMed

Aartsen, Wendy; Peeters, Paul; Wagers, Scott; Williams-Jones, Bryn

2018-01-01

Projects in public-private partnerships, such as the Innovative Medicines Initiative (IMI), produce data services and platforms (digital assets) to help support the use of medical research data and IT tools. Maintaining these assets beyond the funding period of a project can be a challenge. The reason for that is the need to develop a business model that integrates the perspectives of all different stakeholders involved in the project, and these digital assets might not necessarily be addressing a problem for which there is an addressable market of paying customers. In this manuscript, we review four IMI projects and the digital assets they produced as a means of illustrating the challenges in making digital assets sustainable and the lessons learned. To progress digital assets beyond proof-of-concept into widely adopted tools, there is a need for continuation of multi-stakeholder support tailored to these assets. This would be best done by implementing a structure similar to the accelerators that are in place to help transform startup businesses into growing and thriving businesses. The aim of this article is to highlight the risk of digital asset loss and to provoke discussion on the concept of developing an "accelerator" for digital assets from public-private partnership research projects to increase the chance that digital assets will be sustained and continue to add value long after a project has ended.

Women’s Individual Asset Ownership and Experience of Intimate Partner Violence: Evidence From 28 International Surveys

PubMed Central

Pereira, Audrey; Bleck, Jennifer; Palermo, Tia M.; Yount, Kathryn M.

2017-01-01

Objectives. To assess the oft-perceived protective relationship between women’s asset ownership and experience of intimate partner violence (IPV) in the previous 12 months. Methods. We used international survey data from women aged 15 to 49 years from 28 Demographic and Health Surveys (2010–2014) to examine the association between owning assets and experience of recent IPV, matching on household wealth by using multivariate probit models. Matching methods helped to account for the higher probability that women in wealthier households also have a higher likelihood of owning assets. Results. Asset ownership of any type was negatively associated with IPV in 3 countries, positively associated in 5 countries, and had no significant relationship in 20 countries (P < .10). Disaggregation by asset type, sole or joint ownership, women’s age, and community level of women’s asset ownership similarly showed no conclusive patterns. Conclusions. Results suggest that the relationship between women’s asset ownership and IPV is highly context specific. Additional methodologies and data are needed to identify causality, and to understand how asset ownership differs from other types of women’s economic empowerment. PMID:28398779

The case for transforming governmental public health.

PubMed

Salinsky, Eileen; Gursky, Elin A

2006-01-01

Changing threats to the public's health necessitate a profound transformation of the public health enterprise. Despite recent attention to the biodefense role of public health, policymakers have not developed a clear, realistic vision for the structure and functionality of the governmental public health system. Lack of leadership and organizational disconnects across levels of government have prevented strategic alignment of resources and undermined momentum for meaningful change. A transformed public health system is needed to address the demands of emergency preparedness and health protection. Such transformation should include focused, risk-based resource allocation; regional planning; technological upgrades; workforce restructuring; improved integration of private-sector assets; and better performance monitoring.

Reinforcement Learning and Savings Behavior*

PubMed Central

Choi, James J.; Laibson, David; Madrian, Brigitte C.; Metrick, Andrew

2009-01-01

We show that individual investors over-extrapolate from their personal experience when making savings decisions. Investors who experience particularly rewarding outcomes from saving in their 401(k)—a high average and/or low variance return—increase their 401(k) savings rate more than investors who have less rewarding experiences with saving. This finding is not driven by aggregate time-series shocks, income effects, rational learning about investing skill, investor fixed effects, or time-varying investor-level heterogeneity that is correlated with portfolio allocations to stock, bond, and cash asset classes. We discuss implications for the equity premium puzzle and interventions aimed at improving household financial outcomes. PMID:20352013

Ambiguity aversion and household portfolio choice puzzles: Empirical evidence*

PubMed Central

Dimmock, Stephen G.; Kouwenberg, Roy; Mitchell, Olivia S.; Peijnenburg, Kim

2017-01-01

We test the relation between ambiguity aversion and five household portfolio choice puzzles: nonparticipation in equities, low allocations to equity, home-bias, own-company stock ownership, and portfolio under-diversification. In a representative US household survey, we measure ambiguity preferences using custom-designed questions based on Ellsberg urns. As theory predicts, ambiguity aversion is negatively associated with stock market participation, the fraction of financial assets in stocks, and foreign stock ownership, but it is positively related to own-company stock ownership. Conditional on stock ownership, ambiguity aversion is related to portfolio under-diversification, and during the financial crisis, ambiguity-averse respondents were more likely to sell stocks. PMID:28458446

Ambiguity aversion and household portfolio choice puzzles: Empirical evidence.

PubMed

Dimmock, Stephen G; Kouwenberg, Roy; Mitchell, Olivia S; Peijnenburg, Kim

2016-03-01

We test the relation between ambiguity aversion and five household portfolio choice puzzles: nonparticipation in equities, low allocations to equity, home-bias, own-company stock ownership, and portfolio under-diversification. In a representative US household survey, we measure ambiguity preferences using custom-designed questions based on Ellsberg urns. As theory predicts, ambiguity aversion is negatively associated with stock market participation, the fraction of financial assets in stocks, and foreign stock ownership, but it is positively related to own-company stock ownership. Conditional on stock ownership, ambiguity aversion is related to portfolio under-diversification, and during the financial crisis, ambiguity-averse respondents were more likely to sell stocks.

An Agent-Based Dynamic Model for Analysis of Distributed Space Exploration Architectures

NASA Astrophysics Data System (ADS)

Sindiy, Oleg V.; DeLaurentis, Daniel A.; Stein, William B.

2009-07-01

A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings.

The fundamental theorem of asset pricing under default and collateral in finite discrete time

NASA Astrophysics Data System (ADS)

Alvarez-Samaniego, Borys; Orrillo, Jaime

2006-08-01

We consider a financial market where time and uncertainty are modeled by a finite event-tree. The event-tree has a length of N, a unique initial node at the initial date, and a continuum of branches at each node of the tree. Prices and returns of J assets are modeled, respectively, by a R2JxR2J-valued stochastic process . In this framework we prove a version of the Fundamental Theorem of Asset Pricing which applies to defaultable securities backed by exogenous collateral suffering a contingent linear depreciation.

Getting Digital Assets from Public–Private Partnership Research Projects through “The Valley of Death,” and Making Them Sustainable

PubMed Central

Aartsen, Wendy; Peeters, Paul; Wagers, Scott; Williams-Jones, Bryn

2018-01-01

Projects in public–private partnerships, such as the Innovative Medicines Initiative (IMI), produce data services and platforms (digital assets) to help support the use of medical research data and IT tools. Maintaining these assets beyond the funding period of a project can be a challenge. The reason for that is the need to develop a business model that integrates the perspectives of all different stakeholders involved in the project, and these digital assets might not necessarily be addressing a problem for which there is an addressable market of paying customers. In this manuscript, we review four IMI projects and the digital assets they produced as a means of illustrating the challenges in making digital assets sustainable and the lessons learned. To progress digital assets beyond proof-of-concept into widely adopted tools, there is a need for continuation of multi-stakeholder support tailored to these assets. This would be best done by implementing a structure similar to the accelerators that are in place to help transform startup businesses into growing and thriving businesses. The aim of this article is to highlight the risk of digital asset loss and to provoke discussion on the concept of developing an “accelerator” for digital assets from public–private partnership research projects to increase the chance that digital assets will be sustained and continue to add value long after a project has ended. PMID:29594123

Prioritising sewerage maintenance using inferred sewer age: a case study for Edinburgh.

PubMed

Arthur, S; Burkhard, R

2010-01-01

The reported research project focuses on using a database which contains details of customer contacts and CCTV data for a key Scottish catchment to construct a GIS based sewer condition model. Given the nature of the asset registry, a key research challenge was estimating the age of individual lengths of pipe. Within this context, asset age was inferred using the estimated age of surface developments-this involved overlaying the network in a GIS with historical digital maps. The paper illustrates that inferred asset age can reliably be used to highlight assets which are more likely to fail.

Flood Risk and Asset Management

DTIC Science & Technology

2011-10-14

WN911NF-10-2-0104  FLOOD RISK AND ASSET MANGEMENT ----Approved for Public Release, distribution unlimited PN 01 1 R. 1.0 WN911NF-10-2-0104... MANGEMENT PN 01 2 R. 1.0 Contents 1. Progress statement...DTM Ground model of the St Paul, Minnesota Study Area. WN911NF-10-2-0104  FLOOD RISK AND ASSET MANGEMENT PN 01 3 R. 1.0 Figure 2

A Classification and Analysis of National Contract Management Journal Articles from 1990 to 1999 and Journal of Supply Chain Management Articles from 1987 to 2000

DTIC Science & Technology

2001-12-01

defense profits become excessive. Sorenson uses the Capital Asset Pricing Model ( CAPM ) to compare the risk-reward relationship for defense...firms. THEORETICAL, NORMATIVE, EMPIRICAL, INDUCTIVE [58] “A Comment on Using the Capital Asset Pricing ...combination asset revaluation, pensions, post-retirement health benefits, software capitalization , Material Management and Accounting System (MMAS), cost

Life satisfaction in early adolescence: personal, neighborhood, school, family, and peer influences.

PubMed

Oberle, Eva; Schonert-Reichl, Kimberly A; Zumbo, Bruno D

2011-07-01

Drawing from an ecological assets framework as well as research and theory on positive youth development, this study examined the relationship of early adolescents' satisfaction with life to trait optimism and assets representing the social contexts in which early adolescents spend most of their time. Self-reports of satisfaction with life, optimism, and ecological assets in the school (school connectedness), neighborhood (perceived neighborhood support), family (perceived parental support), and peer group (positive peer relationships) were assessed in a sample of 1,402 4th to 7th graders (47% female) from 25 public elementary schools. Multilevel modeling (MLM) was conducted to analyze the variability in life satisfaction both at the individual and the school level. As hypothesized, adding optimism and the dimensions representing the ecology of early adolescence to the model significantly reduced the variability in life satisfaction at both levels of analysis. Both personal (optimism) and all of the ecological assets significantly and positively predicted early adolescents' life satisfaction. The results suggest the theoretical and practical utility of an assets approach for understanding life satisfaction in early adolescence.

A polygon-based modeling approach to assess exposure of resources and assets to wildfire

Treesearch

Matthew P. Thompson; Joe Scott; Jeffrey D. Kaiden; Julie W. Gilbertson-Day

2013-01-01

Spatially explicit burn probability modeling is increasingly applied to assess wildfire risk and inform mitigation strategy development. Burn probabilities are typically expressed on a per-pixel basis, calculated as the number of times a pixel burns divided by the number of simulation iterations. Spatial intersection of highly valued resources and assets (HVRAs) with...

Asset-building, financial self-management service model: piecing together consumer financial independence.

PubMed

Swarbrick, Margaret

2006-10-01

This program represents an innovative approach to traditional money-management services. This asset-building, financial self-management service model has the potential to positively affect recovery, self-sufficiency, and community integration for people with mental illnesses. It is hoped this program will be replicated by other providers in a way that may effect systems change.

Statistical Forecasting of Bankruptcy of Defense Contractors. Problems and Prospects

DTIC Science & Technology

1994-01-01

investors is along the lines of the Capital Asset Pricing Model ( CAPM ). In portfolio theory generally, investors demand an expected-return premium for...Ellen Pint, Rachel Schmidt, and especially Dennis Smallwood of RAND also contributed useful insights and comments. xv Acronyms CAPM Capital Asset ...Bond Yields ............................................. 26 Bond Model Performance ................................. 27 Extensions and Limitations

A Dealer Model of Foreign Exchange Market with Finite Assets

NASA Astrophysics Data System (ADS)

Hamano, Tomoya; Kanazawa, Kiyoshi; Takayasu, Hideki; Takayasu, Misako

An agent-based model is introduced to study the finite-asset effect in foreign exchange markets. We find that the transacted price asymptotically approaches an equilibrium price, which is determined by the monetary balance between the pair of currencies. We phenomenologically derive a formula to estimate the equilibrium price, and we model its relaxation dynamics around the equilibrium price on the basis of a Langevin-like equation.

Modeling the coupled return-spread high frequency dynamics of large tick assets

NASA Astrophysics Data System (ADS)

Curato, Gianbiagio; Lillo, Fabrizio

2015-01-01

Large tick assets, i.e. assets where one tick movement is a significant fraction of the price and bid-ask spread is almost always equal to one tick, display a dynamics in which price changes and spread are strongly coupled. We present an approach based on the hidden Markov model, also known in econometrics as the Markov switching model, for the dynamics of price changes, where the latent Markov process is described by the transitions between spreads. We then use a finite Markov mixture of logit regressions on past squared price changes to describe temporal dependencies in the dynamics of price changes. The model can thus be seen as a double chain Markov model. We show that the model describes the shape of the price change distribution at different time scales, volatility clustering, and the anomalous decrease of kurtosis. We calibrate our models based on Nasdaq stocks and we show that this model reproduces remarkably well the statistical properties of real data.

Entropy measure of credit risk in highly correlated markets

NASA Astrophysics Data System (ADS)

Gottschalk, Sylvia

2017-07-01

We compare the single and multi-factor structural models of corporate default by calculating the Jeffreys-Kullback-Leibler divergence between their predicted default probabilities when asset correlations are either high or low. Single-factor structural models assume that the stochastic process driving the value of a firm is independent of that of other companies. A multi-factor structural model, on the contrary, is built on the assumption that a single firm's value follows a stochastic process correlated with that of other companies. Our main results show that the divergence between the two models increases in highly correlated, volatile, and large markets, but that it is closer to zero in small markets, when asset correlations are low and firms are highly leveraged. These findings suggest that during periods of financial instability, when asset volatility and correlations increase, one of the models misreports actual default risk.

Entropy-based financial asset pricing.

PubMed

Ormos, Mihály; Zibriczky, Dávid

2014-01-01

We investigate entropy as a financial risk measure. Entropy explains the equity premium of securities and portfolios in a simpler way and, at the same time, with higher explanatory power than the beta parameter of the capital asset pricing model. For asset pricing we define the continuous entropy as an alternative measure of risk. Our results show that entropy decreases in the function of the number of securities involved in a portfolio in a similar way to the standard deviation, and that efficient portfolios are situated on a hyperbola in the expected return-entropy system. For empirical investigation we use daily returns of 150 randomly selected securities for a period of 27 years. Our regression results show that entropy has a higher explanatory power for the expected return than the capital asset pricing model beta. Furthermore we show the time varying behavior of the beta along with entropy.

Entropy-Based Financial Asset Pricing

PubMed Central

Ormos, Mihály; Zibriczky, Dávid

2014-01-01

We investigate entropy as a financial risk measure. Entropy explains the equity premium of securities and portfolios in a simpler way and, at the same time, with higher explanatory power than the beta parameter of the capital asset pricing model. For asset pricing we define the continuous entropy as an alternative measure of risk. Our results show that entropy decreases in the function of the number of securities involved in a portfolio in a similar way to the standard deviation, and that efficient portfolios are situated on a hyperbola in the expected return – entropy system. For empirical investigation we use daily returns of 150 randomly selected securities for a period of 27 years. Our regression results show that entropy has a higher explanatory power for the expected return than the capital asset pricing model beta. Furthermore we show the time varying behavior of the beta along with entropy. PMID:25545668

Artificial Intelligent Platform as Decision Tool for Asset Management, Operations and Maintenance.

PubMed

2018-01-04

An Artificial Intelligence (AI) system has been developed and implemented for water, wastewater and reuse plants to improve management of sensors, short and long term maintenance plans, asset and investment management plans. It is based on an integrated approach to capture data from different computer systems and files. It adds a layer of intelligence to the data. It serves as a repository of key current and future operations and maintenance conditions that a plant needs have knowledge of. With this information, it is able to simulate the configuration of processes and assets for those conditions to improve or optimize operations, maintenance and asset management, using the IViewOps (Intelligent View of Operations) model. Based on the optimization through model runs, it is able to create output files that can feed data to other systems and inform the staff regarding optimal solutions to the conditions experienced or anticipated in the future.

Co-movement measure of information transmission on international equity markets

NASA Astrophysics Data System (ADS)

Al Rahahleh, Naseem; Bhatti, M. Ishaq

2017-03-01

Recently, Bhatti and Nguyen (2012) used EVT and various stochastic copulas to study the cross-country co-movements diversification and asset pricing allocation. Weiss (2013) observed that Dynamic Conditional Correlation (DCC) models outperform various copula models. This paper attempts to contribute to the literature on multivariate models for capturing forward and backward return co-movement, spillover effects and volatility linkages. It reflects cross-country forward and backward co-movements more clearly among various coupled international stock markets relating to information transmission and price discovery for making investment decisions. Given the reality of fat-tail or skewed distribution of financial data, this paper proposes the use of VECM-DCC and VAR-DCC models which capture dynamic dependences between the Australian and other selected international financial stock markets. We observe that the return co-movement effects between Australian and Asian countries are bidirectional ((AUS ↔ Hong Kong), (AUS ↔ Japan)) with the exception of Taiwan (AUS → Taiwan). We also observe that the volatility spillover between the Australian and both the UK and the US markets are bidirectional with a larger volatility spillover from both toward the AUS market. Further, the UK market has a higher volatility spillover on the Australian market compared to the US market and the US market has a higher volatility spillover on the UK than that of the Australian market.

Tapping the Value Potential of Extended Asset Services - Experiences from Finnish Companies

NASA Astrophysics Data System (ADS)

Kortelainen, Helena; Hanski, Jyri; Valkokari, Pasi; Ahonen, Toni

2017-09-01

Recent developments in information technology and business models enable a wide variety of new services for companies looking for growth in services. Currently, manufacturing companies have been actively developing and providing novel asset based services such as condition monitoring and remote control. However, there is still untapped potential in extending the service delivery to the long-term co-operative development of physical assets over the whole lifecycle. Close collaboration with the end-customer and other stakeholders is needed in order to understand the value generation options. In this paper, we assess some of the asset services manufacturing companies are currently developing. The descriptions of the asset services are based on the results of an industrial workshop in which the companies presented their service development plans. The service propositions are compared with the Total Cost of Ownership and the closed loop life cycle frameworks. Based on the comparison, gaps that indicate potential for extended asset service concepts are recognised. In conclusion, we argue that the manufacturing companies do not recognise the whole potential for asset based services and for optimizing the performance of the end customers' processes.

Atmospheric Propagation of High Energy Lasers: Modeling, Simulation, Tracking, and Control

DTIC Science & Technology

2008-04-29

the North American Aerospace Defense Command (NORAD) SGP4 /SDP4 orbital propagator and study on energy transfer to orbital assets. • Implementation of...scenarios which include orbital assets. We have incorporated into SHaRE the North American Aerospace Defense Command (NORAD) SGP4 (for near-earth... TLE ) datum. This allows us to investigate the energy characteristics of a ground based laser to an orbital asset. We have conducted a study using

Social status modulates the neural response to unfairness

PubMed Central

Hu, Jie; Blue, Philip R.; Yu, Hongbo; Gong, Xiaoliang; Xiang, Yang; Jiang, Changjun

2016-01-01

In human society, which is organized by social hierarchies, resources are usually allocated unequally and based on social status. In this study, we analyze how being endowed with different social statuses in a math competition affects the perception of fairness during asset allocation in a subsequent Ultimatum Game (UG). Behavioral data showed that when participants were in high status, they were more likely to reject unfair UG offers than in low status. This effect of social status correlated with activity in the right anterior insula (rAI) and with the functional connectivity between the rAI and a region in the anterior middle cingulate cortex, indicating that these two brain regions are crucial for integrating contextual factors and social norms during fairness perception. Additionally, there was an interaction between social status and UG offer fairness in the amygdala and thalamus, implicating the role of these regions in the modulation of social status on fairness perception. These results demonstrate the effect of social status on fairness perception and the potential neural underpinnings for this effect. PMID:26141925

Constellation Ground Systems Launch Availability Analysis: Enhancing Highly Reliable Launch Systems Design

NASA Technical Reports Server (NTRS)

Gernand, Jeffrey L.; Gillespie, Amanda M.; Monaghan, Mark W.; Cummings, Nicholas H.

2010-01-01

Success of the Constellation Program's lunar architecture requires successfully launching two vehicles, Ares I/Orion and Ares V/Altair, within a very limited time period. The reliability and maintainability of flight vehicles and ground systems must deliver a high probability of successfully launching the second vehicle in order to avoid wasting the on-orbit asset launched by the first vehicle. The Ground Operations Project determined which ground subsystems had the potential to affect the probability of the second launch and allocated quantitative availability requirements to these subsystems. The Ground Operations Project also developed a methodology to estimate subsystem reliability, availability, and maintainability to ensure that ground subsystems complied with allocated launch availability and maintainability requirements. The verification analysis developed quantitative estimates of subsystem availability based on design documentation, testing results, and other information. Where appropriate, actual performance history was used to calculate failure rates for legacy subsystems or comparative components that will support Constellation. The results of the verification analysis will be used to assess compliance with requirements and to highlight design or performance shortcomings for further decision making. This case study will discuss the subsystem requirements allocation process, describe the ground systems methodology for completing quantitative reliability, availability, and maintainability analysis, and present findings and observation based on analysis leading to the Ground Operations Project Preliminary Design Review milestone.

An adaptive ARX model to estimate the RUL of aluminum plates based on its crack growth

NASA Astrophysics Data System (ADS)

Barraza-Barraza, Diana; Tercero-Gómez, Víctor G.; Beruvides, Mario G.; Limón-Robles, Jorge

2017-01-01

A wide variety of Condition-Based Maintenance (CBM) techniques deal with the problem of predicting the time for an asset fault. Most statistical approaches rely on historical failure data that might not be available in several practical situations. To address this issue, practitioners might require the use of self-starting approaches that consider only the available knowledge about the current degradation process and the asset operating context to update the prognostic model. Some authors use Autoregressive (AR) models for this purpose that are adequate when the asset operating context is constant, however, if it is variable, the accuracy of the models can be affected. In this paper, three autoregressive models with exogenous variables (ARX) were constructed, and their capability to estimate the remaining useful life (RUL) of a process was evaluated following the case of the aluminum crack growth problem. An existing stochastic model of aluminum crack growth was implemented and used to assess RUL estimation performance of the proposed ARX models through extensive Monte Carlo simulations. Point and interval estimations were made based only on individual history, behavior, operating conditions and failure thresholds. Both analytic and bootstrapping techniques were used in the estimation process. Finally, by including recursive parameter estimation and a forgetting factor, the ARX methodology adapts to changing operating conditions and maintain the focus on the current degradation level of an asset.

Expected precision of Europa Clipper gravity measurements

NASA Astrophysics Data System (ADS)

Verma, Ashok K.; Margot, Jean-Luc

2018-11-01

The primary gravity science objective of NASA's Clipper mission to Europa is to confirm the presence or absence of a global subsurface ocean beneath Europa's Icy crust. Gravity field measurements obtained with a radio science investigation can reveal much about Europa's interior structure. Here, we conduct extensive simulations of the radio science measurements with the anticipated spacecraft trajectory and attitude (17F12v2) and assets on the spacecraft and the ground, including antenna orientations and beam patterns, transmitter characteristics, and receiver noise figures. In addition to two-way Doppler measurements, we also include radar altimeter crossover range measurements. We concentrate on ± 2 h intervals centered on the closest approach of each of the 46 flybys. Our covariance analyses reveal the precision with which the tidal Love number k2, second-degree gravity coefficients Cbar20 and Cbar22 , and higher-order gravity coefficients can be determined. The results depend on the Deep Space Network (DSN) assets that are deployed to track the spacecraft. We find that some DSN allocations are sufficient to conclusively confirm the presence or absence of a global ocean. Given adequate crossover range performance, it is also possible to evaluate whether the ice shell is hydrostatic.

Sex, Attractiveness, and Third-Party Punishment in Fairness Consideration

PubMed Central

Li, Jia; Zhou, Xiaolin

2014-01-01

Social evaluation of others is often influenced by the physical attractiveness of the person being judged, leading to either a beauty premium or penalty depending on the circumstances. Here we asked Chinese participants to act as an interest-free third party in a dictator game and to evaluate the fairness level of monetary allocation by attractive and less attractive proposers of the same or opposite sex. We also instructed participants to express their willingness to punish the proposers by using a visual analogue scale. Results confirmed that the reasonableness evaluation was mainly affected by the reasonableness of offers. However, participants' intention to punish the proposers was affected by the level of reasonableness in the asset distribution and by both the sex and attractiveness of the proposers. Overall, male proposers were punished more severely than female proposers. Moreover, the same-sex proposers were punished more severely than opposite-sex proposers when they were physically attractive; this pattern was reversed when the proposers were less physically attractive. These results demonstrate social responses following an individual's unfair asset distribution can be affected by both social norms and the personal characteristics of the individual. PMID:24709987

Buying on margin, selling short in an agent-based market model

NASA Astrophysics Data System (ADS)

Zhang, Ting; Li, Honggang

2013-09-01

Credit trading, or leverage trading, which includes buying on margin and selling short, plays an important role in financial markets, where agents tend to increase their leverages for increased profits. This paper presents an agent-based asset market model to study the effect of the permissive leverage level on traders’ wealth and overall market indicators. In this model, heterogeneous agents can assume fundamental value-converging expectations or trend-persistence expectations, and their effective demands of assets depend both on demand willingness and wealth constraints, where leverage can relieve the wealth constraints to some extent. The asset market price is determined by a market maker, who watches the market excess demand, and is influenced by noise factors. By simulations, we examine market results for different leverage ratios. At the individual level, we focus on how the leverage ratio influences agents’ wealth accumulation. At the market level, we focus on how the leverage ratio influences changes in the asset price, volatility, and trading volume. Qualitatively, our model provides some meaningful results supported by empirical facts. More importantly, we find a continuous phase transition as we increase the leverage threshold, which may provide a further prospective of credit trading.

Geometric Reasoning for Automated Planning

NASA Technical Reports Server (NTRS)

Clement, Bradley J.; Knight, Russell L.; Broderick, Daniel

2012-01-01

An important aspect of mission planning for NASA s operation of the International Space Station is the allocation and management of space for supplies and equipment. The Stowage, Configuration Analysis, and Operations Planning teams collaborate to perform the bulk of that planning. A Geometric Reasoning Engine is developed in a way that can be shared by the teams to optimize item placement in the context of crew planning. The ISS crew spends (at the time of this writing) a third or more of their time moving supplies and equipment around. Better logistical support and optimized packing could make a significant impact on operational efficiency of the ISS. Currently, computational geometry and motion planning do not focus specifically on the optimized orientation and placement of 3D objects based on multiple distance and containment preferences and constraints. The software performs reasoning about the manipulation of 3D solid models in order to maximize an objective function based on distance. It optimizes for 3D orientation and placement. Spatial placement optimization is a general problem and can be applied to object packing or asset relocation.

An Applied Physicist Does Econometrics

NASA Astrophysics Data System (ADS)

Taff, L. G.

2010-02-01

The biggest problem those attempting to understand econometric data, via modeling, have is that economics has no F = ma. Without a theoretical underpinning, econometricians have no way to build a good model to fit observations to. Physicists do, and when F = ma failed, we knew it. Still desiring to comprehend econometric data, applied economists turn to mis-applying probability theory---especially with regard to the assumptions concerning random errors---and choosing extremely simplistic analytical formulations of inter-relationships. This introduces model bias to an unknown degree. An applied physicist, used to having to match observations to a numerical or analytical model with a firm theoretical basis, modify the model, re-perform the analysis, and then know why, and when, to delete ``outliers'', is at a considerable advantage when quantitatively analyzing econometric data. I treat two cases. One is to determine the household density distribution of total assets, annual income, age, level of education, race, and marital status. Each of these ``independent'' variables is highly correlated with every other but only current annual income and level of education follow a linear relationship. The other is to discover the functional dependence of total assets on the distribution of assets: total assets has an amazingly tight power law dependence on a quadratic function of portfolio composition. Who knew? )

Modeling of Mean-VaR portfolio optimization by risk tolerance when the utility function is quadratic

NASA Astrophysics Data System (ADS)

Sukono, Sidi, Pramono; Bon, Abdul Talib bin; Supian, Sudradjat

2017-03-01

The problems of investing in financial assets are to choose a combination of weighting a portfolio can be maximized return expectations and minimizing the risk. This paper discusses the modeling of Mean-VaR portfolio optimization by risk tolerance, when square-shaped utility functions. It is assumed that the asset return has a certain distribution, and the risk of the portfolio is measured using the Value-at-Risk (VaR). So, the process of optimization of the portfolio is done based on the model of Mean-VaR portfolio optimization model for the Mean-VaR done using matrix algebra approach, and the Lagrange multiplier method, as well as Khun-Tucker. The results of the modeling portfolio optimization is in the form of a weighting vector equations depends on the vector mean return vector assets, identities, and matrix covariance between return of assets, as well as a factor in risk tolerance. As an illustration of numeric, analyzed five shares traded on the stock market in Indonesia. Based on analysis of five stocks return data gained the vector of weight composition and graphics of efficient surface of portfolio. Vector composition weighting weights and efficient surface charts can be used as a guide for investors in decisions to invest.

The Role of Model Fidelity in Understanding the Food-Energy-Water Nexus at the Asset Level

NASA Astrophysics Data System (ADS)

Tidwell, V. C.; Lowry, T. S.; Behery, S.; Macknick, J.; Yang, Y. C. E.

2017-12-01

An improved understanding of the food-energy-water nexus at the asset level (e.g., power plant, irrigation ditch, water utility) is necessary for the efficient management and operations of connected infrastructure systems. Interdependencies potentially influencing the operations of a particular asset can be numerous. For example, operations of energy and agricultural assets depend on the delivery of water, which in turn depend on the physical hydrology, river/reservoir operations, water rights, the networked water infrastructure and other factors. A critical challenge becomes identification of those linkages central to the analysis of the system. Toward this need, a case study was conducted centered on the San Juan River basin, a major tributary to the Colorado River. A unique opportunity was afforded by the availability of two sets of coupled models built on the same simulation platform but formulated at distinctly different fidelities. Comparative analysis was driven by statistically downscaled climate data from three global climate models (emission scenario RCP 8.5) and planned growth in regional water demand. Precipitation was partitioned between evaporation, runoff and recharge using the Variable Infiltration Capacity (VIC) hydrologic model. Priority administration of small-scale water use of upland tributary flows was simulated using Colorado's StateMod model. Mainstem operations of the San Juan River, including releases from Navajo Reservoir, were subsequently modeled using RiverWare to estimate impacts on water deliveries, environmental flows and interbasin transfers out to the year 2100. Models differ in the spatial resolution, disaggregation of water use, infrastructure operations and representation of system dynamics. Comparisons drawn between this suite of coupled models provides insight into the value of model fidelity relative to assessing asset vulnerability to a range of uncertain growth and climate futures. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA-0003525.

Risk Quantification for Sustaining Coastal Military Installation Assets and Mission Capabilities

DTIC Science & Technology

2014-06-01

Sustaining Coastal Military Assets and 5a. CONTRACT NUMBER Mission Capabilities: Final Technical Report 5b. GRANT NUMBER 6. AUTHOR(S) Burks-Copes...critical assets system wide: 1) Hurricane winds have been generated using the Planetary Boundary Layer (PBL) wind model TC96 (Thompson and Cardone 1996...mean air density, pc is pressure representing the tropical cyclone, CD is the drag coefficient, and h is the depth of the PBL (Thompson and Cardone

A multi-objective sustainable model for transportation asset management practices : final report.

DOT National Transportation Integrated Search

2015-12-01

Transportation Asset Management (TAM) practices has gained popularity in the United States and worldwide with the aim to provide the required level of service for the transportation infrastructure network in the most cost-effective manner. However, T...

Clustering of financial time series with application to index and enhanced index tracking portfolio

NASA Astrophysics Data System (ADS)

Dose, Christian; Cincotti, Silvano

2005-09-01

A stochastic-optimization technique based on time series cluster analysis is described for index tracking and enhanced index tracking problems. Our methodology solves the problem in two steps, i.e., by first selecting a subset of stocks and then setting the weight of each stock as a result of an optimization process (asset allocation). Present formulation takes into account constraints on the number of stocks and on the fraction of capital invested in each of them, whilst not including transaction costs. Computational results based on clustering selection are compared to those of random techniques and show the importance of clustering in noise reduction and robust forecasting applications, in particular for enhanced index tracking.

Global financial crisis and weak-form efficiency of Islamic sectoral stock markets: An MF-DFA analysis

NASA Astrophysics Data System (ADS)

Mensi, Walid; Tiwari, Aviral Kumar; Yoon, Seong-Min

2017-04-01

This paper estimates the weak-form efficiency of Islamic stock markets using 10 sectoral stock indices (basic materials, consumer services, consumer goods, energy, financials, health care, industrials, technology, telecommunication, and utilities). The results based on the multifractal detrended fluctuation analysis (MF-DFA) approach show time-varying efficiency for the sectoral stock markets. Moreover, we find that they tend to show high efficiency in the long term but moderate efficiency in the short term, and that these markets become less efficient after the onset of the global financial crisis. These results have several significant implications in terms of asset allocation for investors dealing with Islamic markets.

Model-based metrics of human-automation function allocation in complex work environments

NASA Astrophysics Data System (ADS)

Kim, So Young

Function allocation is the design decision which assigns work functions to all agents in a team, both human and automated. Efforts to guide function allocation systematically has been studied in many fields such as engineering, human factors, team and organization design, management science, and cognitive systems engineering. Each field focuses on certain aspects of function allocation, but not all; thus, an independent discussion of each does not address all necessary issues with function allocation. Four distinctive perspectives emerged from a review of these fields: technology-centered, human-centered, team-oriented, and work-oriented. Each perspective focuses on different aspects of function allocation: capabilities and characteristics of agents (automation or human), team structure and processes, and work structure and the work environment. Together, these perspectives identify the following eight issues with function allocation: 1) Workload, 2) Incoherency in function allocations, 3) Mismatches between responsibility and authority, 4) Interruptive automation, 5) Automation boundary conditions, 6) Function allocation preventing human adaptation to context, 7) Function allocation destabilizing the humans' work environment, and 8) Mission Performance. Addressing these issues systematically requires formal models and simulations that include all necessary aspects of human-automation function allocation: the work environment, the dynamics inherent to the work, agents, and relationships among them. Also, addressing these issues requires not only a (static) model, but also a (dynamic) simulation that captures temporal aspects of work such as the timing of actions and their impact on the agent's work. Therefore, with properly modeled work as described by the work environment, the dynamics inherent to the work, agents, and relationships among them, a modeling framework developed by this thesis, which includes static work models and dynamic simulation, can capture the issues with function allocation. Then, based on the eight issues, eight types of metrics are established. The purpose of these metrics is to assess the extent to which each issue exists with a given function allocation. Specifically, the eight types of metrics assess workload, coherency of a function allocation, mismatches between responsibility and authority, interruptive automation, automation boundary conditions, human adaptation to context, stability of the human's work environment, and mission performance. Finally, to validate the modeling framework and the metrics, a case study was conducted modeling four different function allocations between a pilot and flight deck automation during the arrival and approach phases of flight. A range of pilot cognitive control modes and maximum human taskload limits were also included in the model. The metrics were assessed for these four function allocations and analyzed to validate capability of the metrics to identify important issues in given function allocations. In addition, the design insights provided by the metrics are highlighted. This thesis concludes with a discussion of mechanisms for further validating the modeling framework and function allocation metrics developed here, and highlights where these developments can be applied in research and in the design of function allocations in complex work environments such as aviation operations.

Building Efficiency Evaluation and Uncertainty Analysis with DOE's Asset Score Preview

DOE Office of Scientific and Technical Information (OSTI.GOV)

None

2016-08-12

Building Energy Asset Score Tool, developed by the U.S. Department of Energy (DOE), is a program to encourage energy efficiency improvement by helping building owners and managers assess a building's energy-related systems independent of operations and maintenance. Asset Score Tool uses a simplified EnergyPlus model to provide an assessment of building systems, through minimum user inputs of basic building characteristics. Asset Score Preview is a newly developed option that allows users to assess their building's systems and the potential value of a more in-depth analysis via an even more simplified approach. This methodology provides a preliminary approach to estimating amore » building's energy efficiency and potential for improvement. This paper provides an overview of the methodology used for the development of Asset Score Preview and the scoring methodology.« less

Mentoring Interventions and the Impact of Protective Assets on the Reproductive Health of Adolescent Girls and Young Women.

PubMed

Plourde, Kate F; Ippoliti, Nicole B; Nanda, Geeta; McCarraher, Donna R

2017-08-01

Adolescent girls and young women (AGYW) are disproportionately affected by HIV and AIDS and other negative reproductive health (RH) outcomes. Emerging evidence suggests that programs to build AGYW's assets can help reduce their vulnerability to poor RH. Mentoring interventions have demonstrated a positive impact on a variety of youth development outcomes, including the protective assets needed to circumvent poor RH outcomes. The purpose of this review was to understand the types of mentoring programs for AGYW that have demonstrated effectiveness in improving protective assets, and/or, RH knowledge, intentions, behaviors, or outcomes themselves. Interventions were identified through an electronic search of the peer-reviewed and the gray literature. Studies were excluded in stages based on reviews of titles, abstracts, and full text. A review of 491 publications yielded a total of 19 articles that were included in the final review. The majority of the publications examined the impact of the one-to-one mentoring model in the United States. However, a good proportion examined the impact of both one-on-one and group-based interventions globally. The few interventions that followed a group-based model demonstrated more promise; evaluations of this model demonstrated a positive impact on RH knowledge and behavior, academic achievement, financial behavior, and social networks, as well as reductions in the experience of violence. Group-based mentoring programs demonstrated the most promise in building AGYW's protective assets and improving their RH outcomes. The most successful interventions consisted of multiple components, including mentoring, that sought to directly improve AGYW's protective assets and met with more frequency over a longer duration. Despite the promising evidence, more research is needed to better understand the relationship between assets and RH; the characteristics of successful mentoring programs; and the influence mentoring alone has on RH outcomes, versus mentoring as part of a larger RH program. Copyright © 2017 Society for Adolescent Health and Medicine. All rights reserved.

An Empirical Assessment of Defense Contractor Risk 1976-1984.

DTIC Science & Technology

1986-06-01

Model to evaluate the. Department of Defense contract pricing , financing, and profit policies . ’ D*’ ’ *NTV D? 7A’:: TA E *A l ..... -:- A-i SN 0102...defense con- tractor risk-return relationship is performed utilizing four methods: mean-variance analysis of rate of return, the Capital Asset Pricing Model ...relationship is performed utilizing four methods: mean- variance analysis of rate of return, the Capital Asset Pricing Model , mean-variance analysis of total

The feasibility of a public-private long-term care financing plan.

PubMed

Arling, G; Hagan, S; Buhaug, H

1992-08-01

In this study, the feasibility of a public-private long-term care (LTC) financing plan that would combine private LTC insurance with special Medicaid eligibility requirements was assessed. The plan would also raise the Medicaid asset limit from the current $2,000 to the value of an individual's insurance benefits. After using benefits the individual could enroll in Medicaid. Thus, insurance would substitute for asset spend-down, protecting individuals against catastrophic costs. This financing plan was analyzed through a computer model that simulated lifetime LTC use for a middle-income age cohort beginning at 65 years of age. LTC payments from Medicaid, personal income and assets, Medicare, and insurance were projected by the model. Assuming that LTC use and costs would not grow beyond current projections, the proposed plan would provide asset protection for the cohort without increasing Medicaid expenditures. In contrast, private insurance alone, with no change in Medicaid eligibility, would offer only limited asset protection. The results must be qualified, however, because even a modest increase in LTC cost growth or use of care (beyond current projections) could result in substantially higher Medicaid expenditures. Also, private insurance might increase personal LTC expenditures because of the added cost of insuring.

Where does the carbon go? A model–data intercomparison of vegetation carbon allocation and turnover processes at two temperate forest free-air CO2 enrichment sites

PubMed Central

De Kauwe, Martin G; Medlyn, Belinda E; Zaehle, Sönke; Walker, Anthony P; Dietze, Michael C; Wang, Ying-Ping; Luo, Yiqi; Jain, Atul K; El-Masri, Bassil; Hickler, Thomas; Wårlind, David; Weng, Ensheng; Parton, William J; Thornton, Peter E; Wang, Shusen; Prentice, I Colin; Asao, Shinichi; Smith, Benjamin; McCarthy, Heather R; Iversen, Colleen M; Hanson, Paul J; Warren, Jeffrey M; Oren, Ram; Norby, Richard J

2014-01-01

Elevated atmospheric CO2 concentration (eCO2) has the potential to increase vegetation carbon storage if increased net primary production causes increased long-lived biomass. Model predictions of eCO2 effects on vegetation carbon storage depend on how allocation and turnover processes are represented. We used data from two temperate forest free-air CO2 enrichment (FACE) experiments to evaluate representations of allocation and turnover in 11 ecosystem models. Observed eCO2 effects on allocation were dynamic. Allocation schemes based on functional relationships among biomass fractions that vary with resource availability were best able to capture the general features of the observations. Allocation schemes based on constant fractions or resource limitations performed less well, with some models having unintended outcomes. Few models represent turnover processes mechanistically and there was wide variation in predictions of tissue lifespan. Consequently, models did not perform well at predicting eCO2 effects on vegetation carbon storage. Our recommendations to reduce uncertainty include: use of allocation schemes constrained by biomass fractions; careful testing of allocation schemes; and synthesis of allocation and turnover data in terms of model parameters. Data from intensively studied ecosystem manipulation experiments are invaluable for constraining models and we recommend that such experiments should attempt to fully quantify carbon, water and nutrient budgets. PMID:24844873

24 CFR 990.255 - Overview.

Code of Federal Regulations, 2010 CFR

2010-04-01

... HOUSING OPERATING FUND PROGRAM Asset Management § 990.255 Overview. (a) PHAs shall manage their properties according to an asset management model, consistent with the management norms in the broader multi-family management industry. PHAs shall also implement project-based management, project-based budgeting, and project...

24 CFR 990.255 - Overview.

Code of Federal Regulations, 2011 CFR

2011-04-01

... HOUSING OPERATING FUND PROGRAM Asset Management § 990.255 Overview. (a) PHAs shall manage their properties according to an asset management model, consistent with the management norms in the broader multi-family management industry. PHAs shall also implement project-based management, project-based budgeting, and project...

Asphalt, Fleets, Bricks, and Mortar.

ERIC Educational Resources Information Center

Green, Tim; Williamson, Margie E.; Endris, William L., Jr.

2000-01-01

The new reporting model propounded in Governmental Accounting Board Statement No. 34 dictates that consumption of capital assets be reported through a charge in the governmentwide statement of activities for depreciation expense. The present method of "rolling forward" capital asset amounts will not suffice. (MLH)

Asset securitization and rate of return: A study on letters of guarantee

NASA Astrophysics Data System (ADS)

Wu, Binghui

2018-01-01

Using the theory of asset securitization, we analyze the feasibility of the securitization of letters of guarantee in theory. In the process of constructing the model of rate of return of securities backed by letters of guarantee, we propose two indices: the risk probability of asset-backed securities and the loss rate of asset-backed securities to analyze the cash flow of securities. On the basis of no arbitrage principle, the expression of rate of return of securities backed by letters of guarantee is put forward. In order to study the relationship between the rate of return of securities and other influential factor in the model, a simulation experiment is designed. The experiment results show that (i) an increasing risk probability of cash flow or a short maturity date also make the return rate of securities increase and (ii) the return rate of securities is higher in economic boom than that in economic recession when other parameters remain unchanged.

Risk-taking behavior in the presence of nonconvex asset dynamics.

PubMed

Lybbert, Travis J; Barrett, Christopher B

2011-01-01

The growing literature on poverty traps emphasizes the links between multiple equilibria and risk avoidance. However, multiple equilibria may also foster risk-taking behavior by some poor people. We illustrate this idea with a simple analytical model in which people with different wealth and ability endowments make investment and risky activity choices in the presence of known nonconvex asset dynamics. This model underscores a crucial distinction between familiar static concepts of risk aversion and forward-looking dynamic risk responses to nonconvex asset dynamics. Even when unobservable preferences exhibit decreasing absolute risk aversion, observed behavior may suggest that risk aversion actually increases with wealth near perceived dynamic asset thresholds. Although high ability individuals are not immune from poverty traps, they can leverage their capital endowments more effectively than lower ability types and are therefore less likely to take seemingly excessive risks. In general, linkages between behavioral responses and wealth dynamics often seem to run in both directions. Both theoretical and empirical poverty trap research could benefit from making this two-way linkage more explicit.

Commercial Building Energy Asset Score

DOE Office of Scientific and Technical Information (OSTI.GOV)

This software (Asset Scoring Tool) is designed to help building owners and managers to gain insight into the as-built efficiency of their buildings. It is a web tool where users can enter their building information and obtain an asset score report. The asset score report consists of modeled building energy use (by end use and by fuel type), building systems (envelope, lighting, heating, cooling, service hot water) evaluations, and recommended energy efficiency measures. The intended users are building owners and operators who have limited knowledge of building energy efficiency. The scoring tool collects minimum building data (~20 data entries) frommore » users and build a full-scale energy model using the inference functionalities from Facility Energy Decision System (FEDS). The scoring tool runs real-time building energy simulation using EnergyPlus and performs life-cycle cost analysis using FEDS. An API is also under development to allow the third-party applications to exchange data with the web service of the scoring tool.« less

[Health promotion based on assets: how to work with this perspective in local interventions?

PubMed

Cofiño, Rafael; Aviñó, Dory; Benedé, Carmen Belén; Botello, Blanca; Cubillo, Jara; Morgan, Antony; Paredes-Carbonell, Joan Josep; Hernán, Mariano

2016-11-01

An asset-based approach could be useful to revitalise health promotion or community health interventions combining work with multiple partnerships, positive health, community engagement, equity and orientation of health determinants. We set some recommendations about how to incorporate the assets model in programmes, projects and interventions in health promotion. Some techniques are described for assets mapping and some experiences with this methodology being developed in different regions are systematised. We propose the term "Asset-based Health Promotion/Community Health" as an operational definition to work at the local level with a community engagement and participatory approach, building alliances between different institutions at the state-regional level and trying to create a framework for action with the generation of evaluations and evidence to work on population interventions from the perspective of positive health. Copyright © 2016 SESPAS. All rights reserved.

Toward a mechanistic modeling of nitrogen limitation on vegetation dynamics.

PubMed

Xu, Chonggang; Fisher, Rosie; Wullschleger, Stan D; Wilson, Cathy J; Cai, Michael; McDowell, Nate G

2012-01-01

Nitrogen is a dominant regulator of vegetation dynamics, net primary production, and terrestrial carbon cycles; however, most ecosystem models use a rather simplistic relationship between leaf nitrogen content and photosynthetic capacity. Such an approach does not consider how patterns of nitrogen allocation may change with differences in light intensity, growing-season temperature and CO(2) concentration. To account for this known variability in nitrogen-photosynthesis relationships, we develop a mechanistic nitrogen allocation model based on a trade-off of nitrogen allocated between growth and storage, and an optimization of nitrogen allocated among light capture, electron transport, carboxylation, and respiration. The developed model is able to predict the acclimation of photosynthetic capacity to changes in CO(2) concentration, temperature, and radiation when evaluated against published data of V(c,max) (maximum carboxylation rate) and J(max) (maximum electron transport rate). A sensitivity analysis of the model for herbaceous plants, deciduous and evergreen trees implies that elevated CO(2) concentrations lead to lower allocation of nitrogen to carboxylation but higher allocation to storage. Higher growing-season temperatures cause lower allocation of nitrogen to carboxylation, due to higher nitrogen requirements for light capture pigments and for storage. Lower levels of radiation have a much stronger effect on allocation of nitrogen to carboxylation for herbaceous plants than for trees, resulting from higher nitrogen requirements for light capture for herbaceous plants. As far as we know, this is the first model of complete nitrogen allocation that simultaneously considers nitrogen allocation to light capture, electron transport, carboxylation, respiration and storage, and the responses of each to altered environmental conditions. We expect this model could potentially improve our confidence in simulations of carbon-nitrogen interactions and the vegetation feedbacks to climate in Earth system models.

Toward a Mechanistic Modeling of Nitrogen Limitation on Vegetation Dynamics

PubMed Central

Xu, Chonggang; Fisher, Rosie; Wullschleger, Stan D.; Wilson, Cathy J.; Cai, Michael; McDowell, Nate G.

2012-01-01

Nitrogen is a dominant regulator of vegetation dynamics, net primary production, and terrestrial carbon cycles; however, most ecosystem models use a rather simplistic relationship between leaf nitrogen content and photosynthetic capacity. Such an approach does not consider how patterns of nitrogen allocation may change with differences in light intensity, growing-season temperature and CO2 concentration. To account for this known variability in nitrogen-photosynthesis relationships, we develop a mechanistic nitrogen allocation model based on a trade-off of nitrogen allocated between growth and storage, and an optimization of nitrogen allocated among light capture, electron transport, carboxylation, and respiration. The developed model is able to predict the acclimation of photosynthetic capacity to changes in CO2 concentration, temperature, and radiation when evaluated against published data of Vc,max (maximum carboxylation rate) and Jmax (maximum electron transport rate). A sensitivity analysis of the model for herbaceous plants, deciduous and evergreen trees implies that elevated CO2 concentrations lead to lower allocation of nitrogen to carboxylation but higher allocation to storage. Higher growing-season temperatures cause lower allocation of nitrogen to carboxylation, due to higher nitrogen requirements for light capture pigments and for storage. Lower levels of radiation have a much stronger effect on allocation of nitrogen to carboxylation for herbaceous plants than for trees, resulting from higher nitrogen requirements for light capture for herbaceous plants. As far as we know, this is the first model of complete nitrogen allocation that simultaneously considers nitrogen allocation to light capture, electron transport, carboxylation, respiration and storage, and the responses of each to altered environmental conditions. We expect this model could potentially improve our confidence in simulations of carbon-nitrogen interactions and the vegetation feedbacks to climate in Earth system models. PMID:22649564

An Aluminum Salvage Station for the External Tank (ASSET)

DTIC Science & Technology

1990-12-01

34 High Efficiency GaAs-Ge Tandem Solar Cells Grown by MOCVD." In NASA Conference Publication 3030, Space Photovoltaic Re- search and Technology 1988...Solar Dynamic vs. PV Array Comparisons .... ............ C-8 E.1. ASSET Thermal Model Results ...... .................. E-16 G.I. Scenario I CER...during the salvage operation. A thermal model is developed and the thermal impacts of on-orbit salvage are included in all scenarios. A probabilistic

The Building Assets-Reducing Risks Program: Replication and Expansion of an Effective Strategy to Turn Around Low-Achieving Schools. i3 Development Grant. Final Report

ERIC Educational Resources Information Center

Corsello, Maryann; Sharma, Anu

2015-01-01

The Building Assets Reducing Risks (BARR) Model BARR is a comprehensive model that addresses the challenges that are part of the 9th grade transition year. BARR employs eight different school-wide and individual strategies that are built on positive relationships and ongoing monitoring of student data. In 2010, BARR received an Investing in…

Energy risk in the arbitrage pricing model: an empirical and theoretical study

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bremer, M.A.

1986-01-01

This dissertation empirically explores the Arbitrage Pricing Theory in the context of energy risk for securities over the 1960s, 1970s, and early 1980s. Starting from a general multifactor pricing model, the paper develops a two factor model based on a market-like factor and an energy factor. This model is then tested on portfolios of securities grouped according to industrial classification using several econometric techniques designed to overcome some of the more serious estimation problems common to these models. The paper concludes that energy risk is priced in the 1970s and possibly even in the 1960s. Energy risk is found tomore » be priced in the sense that investors who hold assets subjected to energy risk are paid for this risk. The classic version of the Capital Asset Pricing Model which posits the market as the single priced factor is rejected in favor of the Arbitrage Pricing Theory or multi-beta versions of the Capital Asset Pricing Model. The study introduces some original econometric methodology to carry out empirical tests.« less

The main pillar: Assessment of space weather observational asset performance supporting nowcasting, forecasting, and research to operations.

PubMed

Posner, A; Hesse, M; St Cyr, O C

2014-04-01

Space weather forecasting critically depends upon availability of timely and reliable observational data. It is therefore particularly important to understand how existing and newly planned observational assets perform during periods of severe space weather. Extreme space weather creates challenging conditions under which instrumentation and spacecraft may be impeded or in which parameters reach values that are outside the nominal observational range. This paper analyzes existing and upcoming observational capabilities for forecasting, and discusses how the findings may impact space weather research and its transition to operations. A single limitation to the assessment is lack of information provided to us on radiation monitor performance, which caused us not to fully assess (i.e., not assess short term) radiation storm forecasting. The assessment finds that at least two widely spaced coronagraphs including L4 would provide reliability for Earth-bound CMEs. Furthermore, all magnetic field measurements assessed fully meet requirements. However, with current or even with near term new assets in place, in the worst-case scenario there could be a near-complete lack of key near-real-time solar wind plasma data of severe disturbances heading toward and impacting Earth's magnetosphere. Models that attempt to simulate the effects of these disturbances in near real time or with archival data require solar wind plasma observations as input. Moreover, the study finds that near-future observational assets will be less capable of advancing the understanding of extreme geomagnetic disturbances at Earth, which might make the resulting space weather models unsuitable for transition to operations. Manuscript assesses current and near-future space weather assetsCurrent assets unreliable for forecasting of severe geomagnetic stormsNear-future assets will not improve the situation.

The main pillar: Assessment of space weather observational asset performance supporting nowcasting, forecasting, and research to operations

PubMed Central

Posner, A; Hesse, M; St Cyr, O C

2014-01-01

Space weather forecasting critically depends upon availability of timely and reliable observational data. It is therefore particularly important to understand how existing and newly planned observational assets perform during periods of severe space weather. Extreme space weather creates challenging conditions under which instrumentation and spacecraft may be impeded or in which parameters reach values that are outside the nominal observational range. This paper analyzes existing and upcoming observational capabilities for forecasting, and discusses how the findings may impact space weather research and its transition to operations. A single limitation to the assessment is lack of information provided to us on radiation monitor performance, which caused us not to fully assess (i.e., not assess short term) radiation storm forecasting. The assessment finds that at least two widely spaced coronagraphs including L4 would provide reliability for Earth-bound CMEs. Furthermore, all magnetic field measurements assessed fully meet requirements. However, with current or even with near term new assets in place, in the worst-case scenario there could be a near-complete lack of key near-real-time solar wind plasma data of severe disturbances heading toward and impacting Earth's magnetosphere. Models that attempt to simulate the effects of these disturbances in near real time or with archival data require solar wind plasma observations as input. Moreover, the study finds that near-future observational assets will be less capable of advancing the understanding of extreme geomagnetic disturbances at Earth, which might make the resulting space weather models unsuitable for transition to operations. Key Points Manuscript assesses current and near-future space weather assets Current assets unreliable for forecasting of severe geomagnetic storms Near-future assets will not improve the situation PMID:26213516

Pension decisions in a changing economy: gender, structure, and choice.

PubMed

Hardy, M A; Shuey, K

2000-09-01

As responsibility for financial security in retirement becomes more individualized, understanding the distribution and determinants of savings behavior grows in importance. Employed men and women often gain access to their pension assets when they change jobs. In this study gender differences in pre-retirement access to and disposition of accumulated pension assets are examined. The authors used data from the Health and Retirement Study to model pension participation, disposition of pension assets, and use of cash settlements derived from a pension plan in a previous job. Logit models provided estimates of gender differences in access to pensions and the preservation of pension funds for retirement. Women were less likely to have participated in employer-sponsored pension plans; more likely to cash out accumulated pension assets when they changed jobs; and, when job changes occurred at relatively young ages, equally likely to spend the settlement. However, by their late 40s, women were more likely to save the settlement, a net gender difference that increased with age at which the settlement was received. The structure of employment compensation continues to place women at a disadvantage. Gender differences in earnings and fringe benefits not only affect current financial status, but also cast a shadow over future financial security. Although the gender gap in pension coverage has been reduced, women with pensions have access to lower benefits and less in accumulated assets. As these continuing deficits are addressed, enhancing women's tendency to save pension assets for retirement can help them build financial security.

The allocation of ecosystem net primary productivity in tropical forests

PubMed Central

Malhi, Yadvinder; Doughty, Christopher; Galbraith, David

2011-01-01

The allocation of the net primary productivity (NPP) of an ecosystem between canopy, woody tissue and fine roots is an important descriptor of the functioning of that ecosystem, and an important feature to correctly represent in terrestrial ecosystem models. Here, we collate and analyse a global dataset of NPP allocation in tropical forests, and compare this with the representation of NPP allocation in 13 terrestrial ecosystem models. On average, the data suggest an equal partitioning of allocation between all three main components (mean 34 ± 6% canopy, 39 ± 10% wood, 27 ± 11% fine roots), but there is substantial site-to-site variation in allocation to woody tissue versus allocation to fine roots. Allocation to canopy (leaves, flowers and fruit) shows much less variance. The mean allocation of the ecosystem models is close to the mean of the data, but the spread is much greater, with several models reporting allocation partitioning outside of the spread of the data. Where all main components of NPP cannot be measured, litterfall is a good predictor of overall NPP (r2 = 0.83 for linear fit forced through origin), stem growth is a moderate predictor and fine root production a poor predictor. Across sites the major component of variation of allocation is a shifting allocation between wood and fine roots, with allocation to the canopy being a relatively invariant component of total NPP. This suggests the dominant allocation trade-off is a ‘fine root versus wood’ trade-off, as opposed to the expected ‘root–shoot’ trade-off; such a trade-off has recently been posited on theoretical grounds for old-growth forest stands. We conclude by discussing the systematic biases in estimates of allocation introduced by missing NPP components, including herbivory, large leaf litter and root exudates production. These biases have a moderate effect on overall carbon allocation estimates, but are smaller than the observed range in allocation values across sites. PMID:22006964

Streamlining Building Efficiency Evaluation with DOE's Asset Score Preview

DOE Office of Scientific and Technical Information (OSTI.GOV)

Goel, Supriya; Wang, Nora; Gonzalez, Juan

2016-08-26

Building Energy Asset Score (Asset Score), developed by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE), is a tool to help building owners and managers assess the efficiency of a building's energy-related systems and encourage investment in cost-effective improvements. The Asset Score uses an EnergyPlus model to provide a quick assessment of building energy performance with minimum user inputs of building characteristics and identifies upgrade opportunities. Even with a reduced set of user inputs, data collection remains a challenge for wide-spread adoption, especially when evaluating a large number of buildings. To address this, Asset Scoremore » Preview was developed to allow users to enter as few as seven building characteristics to quickly assess their buildings before a more in-depth analysis. A streamlined assessment from Preview to full Asset Score provides an easy entry point and also enables users who manage a large number of buildings to screen and prioritize buildings that can benefit most from a more detailed evaluation and possible energy efficiency upgrades without intensive data collection.« less

EPA-SUPPORTED (ENVIRONMENTAL PROTECTION AGENCY-SUPPORTED) WASTELOAD ALLOCATION MODELS

EPA Science Inventory

Modeling is increasingly becoming part of the Wasteload Allocation Process. The U.S. EPA provides guidance, technical training and computer software in support of this program. This paper reviews the support available to modelers through the Wasteload Allocation Section of EPA's ...

An integrated model of water resources optimization allocation based on projection pursuit model - Grey wolf optimization method in a transboundary river basin

NASA Astrophysics Data System (ADS)

Yu, Sen; Lu, Hongwei

2018-04-01

Under the effects of global change, water crisis ranks as the top global risk in the future decade, and water conflict in transboundary river basins as well as the geostrategic competition led by it is most concerned. This study presents an innovative integrated PPMGWO model of water resources optimization allocation in a transboundary river basin, which is integrated through the projection pursuit model (PPM) and Grey wolf optimization (GWO) method. This study uses the Songhua River basin and 25 control units as examples, adopting the PPMGWO model proposed in this study to allocate the water quantity. Using water consumption in all control units in the Songhua River basin in 2015 as reference to compare with optimization allocation results of firefly algorithm (FA) and Particle Swarm Optimization (PSO) algorithms as well as the PPMGWO model, results indicate that the average difference between corresponding allocation results and reference values are 0.195 bil m3, 0.151 bil m3, and 0.085 bil m3, respectively. Obviously, the average difference of the PPMGWO model is the lowest and its optimization allocation result is closer to reality, which further confirms the reasonability, feasibility, and accuracy of the PPMGWO model. And then the PPMGWO model is adopted to simulate allocation of available water quantity in Songhua River basin in 2018, 2020, and 2030. The simulation results show water quantity which could be allocated in all controls demonstrates an overall increasing trend with reasonable and equal exploitation and utilization of water resources in the Songhua River basin in future. In addition, this study has a certain reference value and application meaning to comprehensive management and water resources allocation in other transboundary river basins.

Building Community-Engaged Health Research and Discovery Infrastructure on the South Side of Chicago: Science in Service to Community Priorities

PubMed Central

Lindau, Stacy Tessler; Makelarski, Jennifer A.; Chin, Marshall H.; Desautels, Shane; Johnson, Daniel; Johnson, Waldo E.; Miller, Doriane; Peters, Susan; Robinson, Connie; Schneider, John; Thicklin, Florence; Watson, Natalie P.; Wolfe, Marcus; Whitaker, Eric

2011-01-01

Objective To describe the roles community members can and should play in, and an asset-based strategy used by Chicago’s South Side Health and Vitality Studies for, building sustainable, large-scale community health research infrastructure. The Studies are a family of research efforts aiming to produce actionable knowledge to inform health policy, programming, and investments for the region. Methods Community and university collaborators, using a consensus-based approach, developed shared theoretical perspectives, guiding principles, and a model for collaboration in 2008, which were used to inform an asset-based operational strategy. Ongoing community engagement and relationship-building support the infrastructure and research activities of the Studies. Results Key steps in the asset-based strategy include: 1) continuous community engagement and relationship building, 2) identifying community priorities, 3) identifying community assets, 4) leveraging assets, 5) conducting research, 6) sharing knowledge and 7) informing action. Examples of community member roles, and how these are informed by the Studies’ guiding principles, are provided. Conclusions Community and university collaborators, with shared vision and principles, can effectively work together to plan innovative, large-scale community-based research that serves community needs and priorities. Sustainable, effective models are needed to realize NIH’s mandate for meaningful translation of biomedical discovery into improved population health. PMID:21236295

Effects of introduction of new resources and fragmentation of existing resources on limiting wealth distribution in asset exchange models

NASA Astrophysics Data System (ADS)

Ali Saif, M.; Gade, Prashant M.

2009-03-01

Pareto law, which states that wealth distribution in societies has a power-law tail, has been the subject of intensive investigations in the statistical physics community. Several models have been employed to explain this behavior. However, most of the agent based models assume the conservation of number of agents and wealth. Both these assumptions are unrealistic. In this paper, we study the limiting wealth distribution when one or both of these assumptions are not valid. Given the universality of the law, we have tried to study the wealth distribution from the asset exchange models point of view. We consider models in which (a) new agents enter the market at a constant rate (b) richer agents fragment with higher probability introducing newer agents in the system (c) both fragmentation and entry of new agents is taking place. While models (a) and (c) do not conserve total wealth or number of agents, model (b) conserves total wealth. All these models lead to a power-law tail in the wealth distribution pointing to the possibility that more generalized asset exchange models could help us to explain the emergence of a power-law tail in wealth distribution.

Property management tools and techniques : models for the effective management of real property assets at state departments of transportation

DOT National Transportation Integrated Search

2012-09-30

The Federal Highway Administrations (FHWA) Office of Real Estate Services (HEPR) sponsored the research reported on here to review tools and techniques that SDOTs are using to manage, or inventory, their real property assets. The report is based o...

Household Possessions Indices as Wealth Measures: A Validity Evaluation

ERIC Educational Resources Information Center

Traynor, Anne; Raykov, Tenko

2013-01-01

In international achievement studies, questionnaires typically ask about the presence of particular household assets in students' homes. Responses to the assets questions are used to compute a total score, which is intended to represent household wealth in models of test performance. This study uses item analysis and confirmatory factor analysis…

Beyond Level 4: Tying HPT to Valuation of Intangible Assets.

ERIC Educational Resources Information Center

Gayeski, Diane

2001-01-01

Considers how human performance technology (HPT) can achieve greater recognition in the mainstream business world by developing interventions that are framed in terms of enhancing the overall valuation of the organization's intangible assets. Discusses a consulting model that can be used with clients and stakeholders to identify barriers to…

Total healthcare budget: assigning priority and level of asset allocation to the diagnosis and management of urologic diseases.

PubMed

Standaert, B

1995-09-01

During the past decade increasing concern has developed as to how money should best be allocated in the healthcare sector and to the different disciplines within health care. In the Western world, healthcare budgets increase dramatically each year, even during periods of economic recession. There are many reasons explaining this evolution, but publicly funded healthcare systems, as in the United Kingdom, appear to control their growth more effectively than the private systems as, for instance, in the United States. The bulk of the increase in healthcare expenditure happens to be attributed to elderly people who are becoming high consumers of healthcare facilities. There are, however, two important ways to tackle the problem: one is based on free market regulation systems, introducing diagnosis related groups and resource based relative value scales, as in the United States. The other starts from evaluating the needs and the demands of the population and, based on these results, tries to build up an appropriate healthcare system, as in The Netherlands. In the realm of urology where most of the workload is concentrated around older patients, one can foresee difficulties concerning budget allocation. New medical treatments are introduced, demanding new management skills of the urologist. This should involve new ways of evaluating the benefits of the interventions. Quality of life measurements seem to be crucial for the future where, for cost-effectiveness reasons, more care than cure could be the new function of the urologist.

Development of building energy asset rating using stock modelling in the USA

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wang, Na; Goel, Supriya; Makhmalbaf, Atefe

2016-01-29

The US Building Energy Asset Score helps building stakeholders quickly gain insight into the efficiency of building systems (envelope, electrical and mechanical systems). A robust, easy-to-understand 10-point scoring system was developed to facilitate an unbiased comparison of similar building types across the country. The Asset Score does not rely on a database or specific building baselines to establish a rating. Rather, distributions of energy use intensity (EUI) for various building use types were constructed using Latin hypercube sampling and converted to a series of stepped linear scales to score buildings. A score is calculated based on the modelled source EUImore » after adjusting for climate. A web-based scoring tool, which incorporates an analytical engine and a simulation engine, was developed to standardize energy modelling and reduce implementation cost. This paper discusses the methodology used to perform several hundred thousand building simulation runs and develop the scoring scales.« less

Household economic modelsof gill net fishermen at Madura strait

NASA Astrophysics Data System (ADS)

Primyastanto, M.

2018-04-01

The purposes of this research was to analyze household economic models of gill net fishermen at Madura strait. 30 families of gillnet fishermenwere used for purposive sampling. Data analysis used descriptive qualitative and quantitative (regression analysis). Quantitative descriptive analysis was used to analyze research and compare to factors that affecting household economic models of gill net fishermen family. Research results showed tha thousehold economic models of gill net fishermen at Madura strait was production value level or fishermen revenue at sea was strongly influenced byp roduction asset production, education level, fuel, and work flow. Work flow rate of fishermen families affected by asset production, non fisheries workflow and number of male workforce. Non fishing income level was strongly influenced by non-fishery business assets, number of family members owned andnon-fishing work flow. Spending levels of gill net fishermen at Madura strait was affected by fishing income, non-fishing income, fishermen wife education and fishermen family members.

An evolutionary algorithm technique for intelligence, surveillance, and reconnaissance plan optimization

NASA Astrophysics Data System (ADS)

Langton, John T.; Caroli, Joseph A.; Rosenberg, Brad

2008-04-01

To support an Effects Based Approach to Operations (EBAO), Intelligence, Surveillance, and Reconnaissance (ISR) planners must optimize collection plans within an evolving battlespace. A need exists for a decision support tool that allows ISR planners to rapidly generate and rehearse high-performing ISR plans that balance multiple objectives and constraints to address dynamic collection requirements for assessment. To meet this need we have designed an evolutionary algorithm (EA)-based "Integrated ISR Plan Analysis and Rehearsal System" (I2PARS) to support Effects-based Assessment (EBA). I2PARS supports ISR mission planning and dynamic replanning to coordinate assets and optimize their routes, allocation and tasking. It uses an evolutionary algorithm to address the large parametric space of route-finding problems which is sometimes discontinuous in the ISR domain because of conflicting objectives such as minimizing asset utilization yet maximizing ISR coverage. EAs are uniquely suited for generating solutions in dynamic environments and also allow user feedback. They are therefore ideal for "streaming optimization" and dynamic replanning of ISR mission plans. I2PARS uses the Non-dominated Sorting Genetic Algorithm (NSGA-II) to automatically generate a diverse set of high performing collection plans given multiple objectives, constraints, and assets. Intended end users of I2PARS include ISR planners in the Combined Air Operations Centers and Joint Intelligence Centers. Here we show the feasibility of applying the NSGA-II algorithm and EAs in general to the ISR planning domain. Unique genetic representations and operators for optimization within the ISR domain are presented along with multi-objective optimization criteria for ISR planning. Promising results of the I2PARS architecture design, early software prototype, and limited domain testing of the new algorithm are discussed. We also present plans for future research and development, as well as technology transition goals.

A Protocol for Generating and Exchanging (Genome-Scale) Metabolic Resource Allocation Models.

PubMed

Reimers, Alexandra-M; Lindhorst, Henning; Waldherr, Steffen

2017-09-06

In this article, we present a protocol for generating a complete (genome-scale) metabolic resource allocation model, as well as a proposal for how to represent such models in the systems biology markup language (SBML). Such models are used to investigate enzyme levels and achievable growth rates in large-scale metabolic networks. Although the idea of metabolic resource allocation studies has been present in the field of systems biology for some years, no guidelines for generating such a model have been published up to now. This paper presents step-by-step instructions for building a (dynamic) resource allocation model, starting with prerequisites such as a genome-scale metabolic reconstruction, through building protein and noncatalytic biomass synthesis reactions and assigning turnover rates for each reaction. In addition, we explain how one can use SBML level 3 in combination with the flux balance constraints and our resource allocation modeling annotation to represent such models.

Community-aware task allocation for social networked multiagent systems.

PubMed

Wang, Wanyuan; Jiang, Yichuan

2014-09-01

In this paper, we propose a novel community-aware task allocation model for social networked multiagent systems (SN-MASs), where the agent' cooperation domain is constrained in community and each agent can negotiate only with its intracommunity member agents. Under such community-aware scenarios, we prove that it remains NP-hard to maximize system overall profit. To solve this problem effectively, we present a heuristic algorithm that is composed of three phases: 1) task selection: select the desirable task to be allocated preferentially; 2) allocation to community: allocate the selected task to communities based on a significant task-first heuristics; and 3) allocation to agent: negotiate resources for the selected task based on a nonoverlap agent-first and breadth-first resource negotiation mechanism. Through the theoretical analyses and experiments, the advantages of our presented heuristic algorithm and community-aware task allocation model are validated. 1) Our presented heuristic algorithm performs very closely to the benchmark exponential brute-force optimal algorithm and the network flow-based greedy algorithm in terms of system overall profit in small-scale applications. Moreover, in the large-scale applications, the presented heuristic algorithm achieves approximately the same overall system profit, but significantly reduces the computational load compared with the greedy algorithm. 2) Our presented community-aware task allocation model reduces the system communication cost compared with the previous global-aware task allocation model and improves the system overall profit greatly compared with the previous local neighbor-aware task allocation model.

Research on air and missile defense task allocation based on extended contract net protocol

NASA Astrophysics Data System (ADS)

Zhang, Yunzhi; Wang, Gang

2017-10-01

Based on the background of air and missile defense distributed element corporative engagement, the interception task allocation problem of multiple weapon units with multiple targets under network condition is analyzed. Firstly, a mathematical model of task allocation is established by combat task decomposition. Secondly, the initialization assignment based on auction contract and the adjustment allocation scheme based on swap contract were introduced to the task allocation. Finally, through the simulation calculation of typical situation, the model can be used to solve the task allocation problem in complex combat environment.

A longitudinal study of youth assets, neighborhood conditions, and youth sexual behaviors.

PubMed

Oman, Roy F; Vesely, Sara K; Aspy, Cheryl B; Tolma, Eleni L; Gavin, Lorrie; Bensyl, Diana M; Mueller, Trisha; Fluhr, Janene D

2013-06-01

To prospectively determine whether individual, family, and community assets help youth to delay initiation of sexual intercourse (ISI); and for youth who do initiate intercourse, to use birth control and avoid pregnancy. The potential influence of neighborhood conditions was also investigated. The Youth Asset Study was a 4-year longitudinal study involving 1,089 youth (mean age = 14.2 years, standard deviation = 1.6; 53% female; 40% white, 28% Hispanic, 23% African American, 9% other race) and their parents. Participants were living in randomly selected census tracts. We accomplished recruitment via door-to-door canvassing. We interviewed one youth and one parent from each household annually. We assessed 17 youth assets (e.g., responsible choices, family communication) believed to influence behavior at multiple levels via in-person interviews methodology. Trained raters who conducted annual windshield tours assessed neighborhood conditions. Cox proportional hazard or marginal logistic regression modeling indicated that 11 assets (e.g., family communication, school connectedness) were significantly associated with reduced risk for ISI; seven assets (e.g., educational aspirations for the future, responsible choices) were significantly associated with increased use of birth control at last sex; and 10 assets (e.g., family communication, school connectedness) were significantly associated with reduced risk for pregnancy. Total asset score was significantly associated with all three outcomes. Positive neighborhood conditions were significantly associated with increased birth control use, but not with ISI or pregnancy. Programming to strengthen youth assets may be a promising strategy for reducing youth sexual risk behaviors. Copyright © 2013 Society for Adolescent Health and Medicine. All rights reserved.

Illiquidity premium and expected stock returns in the UK: A new approach

NASA Astrophysics Data System (ADS)

Chen, Jiaqi; Sherif, Mohamed

2016-09-01

This study examines the relative importance of liquidity risk for the time-series and cross-section of stock returns in the UK. We propose a simple way to capture the multidimensionality of illiquidity. Our analysis indicates that existing illiquidity measures have considerable asset specific components, which justifies our new approach. Further, we use an alternative test of the Amihud (2002) measure and parametric and non-parametric methods to investigate whether liquidity risk is priced in the UK. We find that the inclusion of the illiquidity factor in the capital asset pricing model plays a significant role in explaining the cross-sectional variation in stock returns, in particular with the Fama-French three-factor model. Further, using Hansen-Jagannathan non-parametric bounds, we find that the illiquidity-augmented capital asset pricing models yield a small distance error, other non-liquidity based models fail to yield economically plausible distance values. Our findings have important implications for managing the liquidity risk of equity portfolios.

Validation of a Dry Model for Assessing the Performance of Arthroscopic Hip Labral Repair.

PubMed

Phillips, Lisa; Cheung, Jeffrey J H; Whelan, Daniel B; Murnaghan, Michael Lucas; Chahal, Jas; Theodoropoulos, John; Ogilvie-Harris, Darrell; Macniven, Ian; Dwyer, Tim

2017-07-01

Arthroscopic hip labral repair is a technically challenging and demanding surgical technique with a steep learning curve. Arthroscopic simulation allows trainees to develop these skills in a safe environment. The purpose of this study was to evaluate the use of a combination of assessment ratings for the performance of arthroscopic hip labral repair on a dry model. Cross-sectional study; Level of evidence, 3. A total of 47 participants including orthopaedic surgery residents (n = 37), sports medicine fellows (n = 5), and staff surgeons (n = 5) performed arthroscopic hip labral repair on a dry model. Prior arthroscopic experience was noted. Participants were evaluated by 2 orthopaedic surgeons using a task-specific checklist, the Arthroscopic Surgical Skill Evaluation Tool (ASSET), task completion time, and a final global rating scale. All procedures were video-recorded and scored by an orthopaedic fellow blinded to the level of training of each participant. The internal consistency/reliability (Cronbach alpha) using the total ASSET score for the procedure was high (intraclass correlation coefficient > 0.9). One-way analysis of variance for the total ASSET score demonstrated a difference between participants based on the level of training ( F 3,43 = 27.8, P < .001). A good correlation was seen between the ASSET score and previous exposure to arthroscopic procedures ( r = 0.52-0.73, P < .001). The interrater reliability for the ASSET score was excellent (>0.9). The results of this study demonstrate that the use of dry models to assess the performance of arthroscopic hip labral repair by trainees is both valid and reliable. Further research will be required to demonstrate a correlation with performance on cadaveric specimens or in the operating room.

A system dynamics model of a large R&D program

NASA Astrophysics Data System (ADS)

Ahn, Namsung

Organizations with large R&D activities must deal with a hierarchy of decision regarding resource allocation. At the highest level of allocation, the decision is related to the total allocation to R&D as some portion of revenue. The middle level of allocation deals with the allocation among phases of the R&D process. The lowest level of decisions relates to the resource allocation to specific projects within a specific phase. This study focuses on developing an R&D model to deal with the middle level of allocation, i.e., the allocation among phases of research such as basic research, development, and demonstration. The methodology used to develop the R&D model is System Dynamics. Our modeling concept is innovative in representing each phase of R&D as consisting of two parts: projects under way, and an inventory of successful but not-yet- exploited projects. In a simple world, this concept can yield an exact analytical solution for allocation of resources among phases. But in a real world, the concept should be improved by adding more complex structures with nonlinear behaviors. Two particular nonlinear feedbacks are incorporated into the R&D model. The probability of success for any specific project is assumed partly dependent upon resources allocated to the project. Further, the time required to reach a conclusion regarding the success or failure of a project is also assumed dependent upon the level of resources allocated. In addition, the number of successful projects partly depends on the inventory of potential ideas in the previous stage that can be exploited. This model can provide R&D management with insights into the effect of changing allocations to phases whether those changes are internally or externally driven. With this model, it is possible to study the effectiveness of management decisions in a continuous fashion. Managers can predict payoffs for a host of different policies. In addition, as new research results accumulate, a re- assessment of program goals can be implemented easily and allocations adjusted to enhance continuously the likelihood of success, and to optimize payoffs. Finally, this model can give managers a quantitative rationale for program evaluation and permit the quantitative assessment of various externally imposed changes. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Smith, Braeton J.; Starks, Shirley J.; Loose, Verne W.

Pandemic influenza has become a serious global health concern; in response, governments around the world have allocated increasing funds to containment of public health threats from this disease. Pandemic influenza is also recognized to have serious economic implications, causing illness and absence that reduces worker productivity and economic output and, through mortality, robs nations of their most valuable assets - human resources. This paper reports two studies that investigate both the short- and long-term economic implications of a pandemic flu outbreak. Policy makers can use the growing number of economic impact estimates to decide how much to spend to combatmore » the pandemic influenza outbreaks. Experts recognize that pandemic influenza has serious global economic implications. The illness causes absenteeism, reduced worker productivity, and therefore reduced economic output. This, combined with the associated mortality rate, robs nations of valuable human resources. Policy makers can use economic impact estimates to decide how much to spend to combat the pandemic influenza outbreaks. In this paper economists examine two studies which investigate both the short- and long-term economic implications of a pandemic influenza outbreak. Resulting policy implications are also discussed. The research uses the Regional Economic Modeling, Inc. (REMI) Policy Insight + Model. This model provides a dynamic, regional, North America Industrial Classification System (NAICS) industry-structured framework for forecasting. It is supported by a population dynamics model that is well-adapted to investigating macro-economic implications of pandemic influenza, including possible demand side effects. The studies reported in this paper exercise all of these capabilities.« less

A model for the dynamic behavior of financial assets affected by news: The case of Tohoku-Kanto earthquake

NASA Astrophysics Data System (ADS)

Ochiai, T.; Nacher, J. C.

2011-09-01

The prices of financial products in markets are determined by the behavior of investors, who are influenced by positive and negative news. Here, we present a mathematical model to reproduce the price movements in real financial markets affected by news. The model has both positive and negative feed-back mechanisms. Furthermore, the behavior of the model is examined by considering two types of noise. Our results show that the dynamic balance of positive and negative feed-back mechanisms with the noise effect determines the asset price movement.

A path integral approach to asset-liability management

NASA Astrophysics Data System (ADS)

Decamps, Marc; De Schepper, Ann; Goovaerts, Marc

2006-05-01

Functional integrals constitute a powerful tool in the investigation of financial models. In the recent econophysics literature, this technique was successfully used for the pricing of a number of derivative securities. In the present contribution, we introduce this approach to the field of asset-liability management. We work with a representation of cash flows by means of a two-dimensional delta-function perturbation, in the case of a Brownian model and a geometric Brownian model. We derive closed-form solutions for a finite horizon ALM policy. The results are numerically and graphically illustrated.

Redefining the Australian Army Officer Corps Allocation Process

DTIC Science & Technology

2010-03-01

Allocation Numbers (Model 2) ......................................60 Table 28. 2009 Revised Corps Allocation Overage and Underage (Model 2...characteristics: age, sex , marital status, and length of service. b. organizational characteristics: size of work group, visibility of organization...with minimal alteration to the planned corps allocation numbers. A full list of the corps overages and underages is contained in Table 23. Table

Costing of Paediatric Treatment alongside Clinical Trials under Low Resource Constraint Environments: Cotrimoxazole and Antiretroviral Medications in Children Living with HIV/AIDS

PubMed Central

2016-01-01

Introduction. Costing evidence is essential for policy makers for priority setting and resource allocation. It is in this context that the clinical trials of ARVs and cotrimoxazole provided a costing component to provide evidence for budgeting and resource needs alongside the clinical efficacy studies. Methods. A micro based costing approach was adopted, using case record forms for maintaining patient records. Costs for fixed assets were allocated based on the paediatric space. Medication and other resource costs were costed using the WHO/MSH Drug Price Indicators as well as procurement data where these were available. Results. The costs for cotrimoxazole and ARVs are significantly different. The average costs for human resources were US$22 and US$71 for physician costs and $1.3 and $16 for nursing costs while in-patient costs were $257 and $15 for the cotrimoxazole and ARV cohorts, respectively. Mean or average costs were $870 for the cotrimoxazole cohort and $218 for the ARV. The causal factors for the significant cost differences are attributable to the higher human resource time, higher infections of opportunistic conditions, and longer and higher frequency of hospitalisations, among others. PMID:28042479

How a new funding model will shift allocations from the Global Fund to Fight AIDS, tuberculosis, and malaria.

PubMed

Fan, Victoria Y; Glassman, Amanda; Silverman, Rachel L

2014-12-01

Policy makers deciding how to fund global health programs in low- and middle-income countries face important but difficult questions about how to allocate resources across countries. In this article we present a typology of three allocation methodologies to align allocations with priorities. We then apply our typology to the Global Fund to Fight AIDS, Tuberculosis, and Malaria. We examined the Global Fund's historical HIV allocations and its predicted allocations under a new funding model that creates an explicit allocation methodology. We found that under the new funding model, substantial shifts in the Global Fund's portfolio are likely to result from concentrating resources in countries with more HIV cases and lower per capita incomes. For example, South Africa, which had 15.8 percent of global HIV cases in 2009, could see its Global Fund HIV funding more than triple, from historic levels that averaged 3.0 percent to 9.7 percent of total Global Fund allocations. The new funding model methodology is expected, but not guaranteed, to improve the efficiency of Global Fund allocations in comparison to historical practice. We conclude with recommendations for the Global Fund and other global health donors to further develop their allocation methodologies and processes to improve efficiency and transparency. Project HOPE—The People-to-People Health Foundation, Inc.

Dynamics of electricity market correlations

NASA Astrophysics Data System (ADS)

Alvarez-Ramirez, J.; Escarela-Perez, R.; Espinosa-Perez, G.; Urrea, R.

2009-06-01

Electricity market participants rely on demand and price forecasts to decide their bidding strategies, allocate assets, negotiate bilateral contracts, hedge risks, and plan facility investments. However, forecasting is hampered by the non-linear and stochastic nature of price time series. Diverse modeling strategies, from neural networks to traditional transfer functions, have been explored. These approaches are based on the assumption that price series contain correlations that can be exploited for model-based prediction purposes. While many works have been devoted to the demand and price modeling, a limited number of reports on the nature and dynamics of electricity market correlations are available. This paper uses detrended fluctuation analysis to study correlations in the demand and price time series and takes the Australian market as a case study. The results show the existence of correlations in both demand and prices over three orders of magnitude in time ranging from hours to months. However, the Hurst exponent is not constant over time, and its time evolution was computed over a subsample moving window of 250 observations. The computations, also made for two Canadian markets, show that the correlations present important fluctuations over a seasonal one-year cycle. Interestingly, non-linearities (measured in terms of a multifractality index) and reduced price predictability are found for the June-July periods, while the converse behavior is displayed during the December-January period. In terms of forecasting models, our results suggest that non-linear recursive models should be considered for accurate day-ahead price estimation. On the other hand, linear models seem to suffice for demand forecasting purposes.

An Allocation Model for Teaching and Nonteaching Staff in a Decentralized Institution.

ERIC Educational Resources Information Center

Dijkman, Frank G

1985-01-01

An allocation model for teaching and nonteaching staff developed at the University of Utrecht is characterized as highly normative, leading to lump sums to be allocated to academic departments. Details are given regarding the reasons for designing the new model and the process of implementation. (Author/MLW)

Bringing the Budget Back into Academic Work Allocation Models: A Management Perspective

ERIC Educational Resources Information Center

Robertson, Michael; Germov, John

2015-01-01

Issues surrounding increasingly constrained resources and reducing levels of sector-based funding require consideration of a different Academic Work Allocation Model (AWAM) approach. Evidence from the literature indicates that an effective work allocation model is founded on the principles of equity and transparency in the distribution and…

Updates to the Demographic and Spatial Allocation Models to ...

EPA Pesticide Factsheets

EPA's announced the availability of the final report, Updates to the Demographic and Spatial Allocation Models to Produce Integrated Climate and Land Use Scenarios (ICLUS) (Version 2). This update furthered land change modeling by providing nationwide housing development scenarios up to 2100. This newest version includes updated population and land use data sets and addresses limitations identified in ICLUS v1 in both the migration and spatial allocation models. The companion user guide (Final Report) describes the development of ICLUS v2 and the updates that were made to the original data sets and the demographic and spatial allocation models. The GIS tool enables users to run SERGoM with the population projections developed for the ICLUS project and allows users to modify the spatial allocation housing density across the landscape.

How to get the most bang for your buck: the evolution and physiology of nutrition-dependent resource allocation strategies.

PubMed

Ng'oma, Enoch; Perinchery, Anna M; King, Elizabeth G

2017-06-28

All organisms use resources to grow, survive and reproduce. The supply of these resources varies widely across landscapes and time, imposing ultimate constraints on the maximal trait values for allocation-related traits. In this review, we address three key questions fundamental to our understanding of the evolution of allocation strategies and their underlying mechanisms. First, we ask: how diverse are flexible resource allocation strategies among different organisms? We find there are many, varied, examples of flexible strategies that depend on nutrition. However, this diversity is often ignored in some of the best-known cases of resource allocation shifts, such as the commonly observed pattern of lifespan extension under nutrient limitation. A greater appreciation of the wide variety of flexible allocation strategies leads directly to our second major question: what conditions select for different plastic allocation strategies? Here, we highlight the need for additional models that explicitly consider the evolution of phenotypically plastic allocation strategies and empirical tests of the predictions of those models in natural populations. Finally, we consider the question: what are the underlying mechanisms determining resource allocation strategies? Although evolutionary biologists assume differential allocation of resources is a major factor limiting trait evolution, few proximate mechanisms are known that specifically support the model. We argue that an integrated framework can reconcile evolutionary models with proximate mechanisms that appear at first glance to be in conflict with these models. Overall, we encourage future studies to: (i) mimic ecological conditions in which those patterns evolve, and (ii) take advantage of the 'omic' opportunities to produce multi-level data and analytical models that effectively integrate across physiological and evolutionary theory. © 2017 The Author(s).

How to get the most bang for your buck: the evolution and physiology of nutrition-dependent resource allocation strategies

PubMed Central

2017-01-01

All organisms use resources to grow, survive and reproduce. The supply of these resources varies widely across landscapes and time, imposing ultimate constraints on the maximal trait values for allocation-related traits. In this review, we address three key questions fundamental to our understanding of the evolution of allocation strategies and their underlying mechanisms. First, we ask: how diverse are flexible resource allocation strategies among different organisms? We find there are many, varied, examples of flexible strategies that depend on nutrition. However, this diversity is often ignored in some of the best-known cases of resource allocation shifts, such as the commonly observed pattern of lifespan extension under nutrient limitation. A greater appreciation of the wide variety of flexible allocation strategies leads directly to our second major question: what conditions select for different plastic allocation strategies? Here, we highlight the need for additional models that explicitly consider the evolution of phenotypically plastic allocation strategies and empirical tests of the predictions of those models in natural populations. Finally, we consider the question: what are the underlying mechanisms determining resource allocation strategies? Although evolutionary biologists assume differential allocation of resources is a major factor limiting trait evolution, few proximate mechanisms are known that specifically support the model. We argue that an integrated framework can reconcile evolutionary models with proximate mechanisms that appear at first glance to be in conflict with these models. Overall, we encourage future studies to: (i) mimic ecological conditions in which those patterns evolve, and (ii) take advantage of the ‘omic’ opportunities to produce multi-level data and analytical models that effectively integrate across physiological and evolutionary theory. PMID:28637856

Quantum-like Viewpoint on the Complexity and Randomness of the Financial Market

NASA Astrophysics Data System (ADS)

Choustova, Olga

In economics and financial theory, analysts use random walk and more general martingale techniques to model behavior of asset prices, in particular share prices on stock markets, currency exchange rates and commodity prices. This practice has its basis in the presumption that investors act rationally and without bias, and that at any moment they estimate the value of an asset based on future expectations. Under these conditions, all existing information affects the price, which changes only when new information comes out. By definition, new information appears randomly and influences the asset price randomly. Corresponding continuous time models are based on stochastic processes (this approach was initiated in the thesis of [4]), see, e.g., the books of [33] and [37] for historical and mathematical details.

An Optimization Framework for Dynamic, Distributed Real-Time Systems

NASA Technical Reports Server (NTRS)

Eckert, Klaus; Juedes, David; Welch, Lonnie; Chelberg, David; Bruggerman, Carl; Drews, Frank; Fleeman, David; Parrott, David; Pfarr, Barbara

2003-01-01

Abstract. This paper presents a model that is useful for developing resource allocation algorithms for distributed real-time systems .that operate in dynamic environments. Interesting aspects of the model include dynamic environments, utility and service levels, which provide a means for graceful degradation in resource-constrained situations and support optimization of the allocation of resources. The paper also provides an allocation algorithm that illustrates how to use the model for producing feasible, optimal resource allocations.

Regulation, the capital-asset pricing model, and the arbitrage pricing theory

DOE Office of Scientific and Technical Information (OSTI.GOV)

Roll, R.W.; Ross, S.A.

1983-05-26

This article describes the arbitrage pricing theory (APT) as and compares it with the capital-asset pricing model (CAPM) as a tool for computing the cost of capital in utility regulatory proceedings. The article argues that the APT is a significantly superior method for determining equity cost, and demonstrates that its application to utilities derives more-sensible estimates of the cost of equity capital than the CAPM. 8 references, 1 figure, 2 tables.

Estimating the ROI on Implementation of RFID at the Ammunition Storage Warehouse and the 40th Supply Depot: KVA as a Methodology

DTIC Science & Technology

2009-12-01

Balanced Scorecard CAPM Capital Asset Pricing Model DIS Defense Information System DoD Department of...Measurement Tool (PMT) is the Balanced Scorecard (BSC) based on critical success factors and key performance indicators. The MND has referred to Jung’s...authors can replicate the methodology for multiple projects to generate a portfolio of projects. Similar to the Capital Asset Pricing Model ( CAPM ) or

Determinants of Thailand household healthcare expenditure: the relevance of permanent resources and other correlates.

PubMed

Okunade, Albert A; Suraratdecha, Chutima; Benson, David A

2010-03-01

Several papers in the leading health economics journals modeled the determinants of healthcare expenditure using household survey or family budgets data of developed countries. Past work largely used self-reported current income as the core determinant, whereas the theoretically correct concept of household resource constraint is permanent or long-run income (á lá Milton Friedman). This paper strives to rectify the theoretical oversight of using current income by augmenting the model with household asset. Using longitudinal data, we constructed 'wealth index' as a distinct covariate to capture the households' tendency to liquidate assets when defraying necessary healthcare liabilities after exhausting cash incomes. (Current income and assets together capture the household expanded resource base). Using 98 632 household observations from Thailand Socio-Economic Surveys (1994-2000 biennial data cycles) we found, using a double-hurdle model with dependent errors, that out-of-pocket healthcare spending behaves as a technical necessity across income quintiles and household sizes. Pre-1997 economic shock income elasticities are smaller than the post-shock estimates across income quintiles for large and small households. Proximity to death, median age, and assets are also among other significant determinants. Our novel findings extend the theoretical consistency of a multi-level decision model in household healthcare expenditure in the developing Asian country context. (c) 2009 John Wiley & Sons, Ltd.

Methodology to Support Dynamic Function Allocation Policies Between Humans and Flight Deck Automation

NASA Technical Reports Server (NTRS)

Johnson, Eric N.

2012-01-01

Function allocation assigns work functions to all agents in a team, both human and automation. Efforts to guide function allocation systematically have been studied in many fields such as engineering, human factors, team and organization design, management science, cognitive systems engineering. Each field focuses on certain aspects of function allocation, but not all; thus, an independent discussion of each does not address all necessary aspects of function allocation. Four distinctive perspectives have emerged from this comprehensive review of literature on those fields: the technology-centered, human-centered, team-oriented, and work-oriented perspectives. Each perspective focuses on different aspects of function allocation: capabilities and characteristics of agents (automation or human), structure and strategy of a team, and work structure and environment. This report offers eight issues with function allocation that can be used to assess the extent to which each of issues exist on a given function allocation. A modeling framework using formal models and simulation was developed to model work as described by the environment, agents, their inherent dynamics, and relationships among them. Finally, to validate the framework and metrics, a case study modeled four different function allocations between a pilot and flight deck automation during the arrival and approach phases of flight.

The Civic and Political Assets of Preservice Teachers: Understanding Our Millennial Students

ERIC Educational Resources Information Center

Gatti, Lauren; Payne, Katherina A.

2011-01-01

This article builds on Lowenstein's (2009) argument that we need to consider a "parallel practice" wherein teacher educators model pedagogy that understands and values the assets that preservice teachers bring into the classroom. Drawing from a qualitative study of 17 preservice teachers entering two programs, this article discusses what kind of…

Examining Impacts of Organizational Capabilities in Information Security: A Structural Equation Modeling Analysis

ERIC Educational Resources Information Center

Hall, Jacqueline Huynh

2011-01-01

In today's modern business world, most organizations use information as a critical business asset to gain competitive advantage and create market value. Increasingly, an organization's ability to protect information assets plays a critical role in its ability to meet regulatory compliance requirements, increase customer trust, preserve brand…

Valuation of Capabilities and System Architecture Options to Meet Affordability Requirement

DTIC Science & Technology

2014-04-30

is an extension of the historic volatility and trend of the stock using Brownian motion . In finance , the Black-Scholes equation is used to value...the underlying asset whose value is modeled as a stochastic process. In finance , the underlying asset is a tradeable stock and the stochastic process

Infusing Financial Capability and Asset Building Content into a Community Organizing Class

ERIC Educational Resources Information Center

Doran, Joanna K.; Bagdasaryan, Sofya

2018-01-01

As social work's fight for social and economic justice returns to its historical attention to finances, faculty are called to infuse financial capability and asset building (FCAB) content into their classes. Given few published models, this study contributes a redesign that infuses FCAB in a community organization course, with additional attention…

Inventory of Assets.

ERIC Educational Resources Information Center

Kline, Lanaii

A computer program that produces three reports based on asset inventory data--i.e. facilities and equipment data--is described. Written in FORTRAN IV (Level G), the program was used on the IBM 360 Model 91 at the University of California at Los Angeles (UCLA). The first report is a listing of data sorted by local, user-assigned identification…

Adaptive [theta]-methods for pricing American options

NASA Astrophysics Data System (ADS)

Khaliq, Abdul Q. M.; Voss, David A.; Kazmi, Kamran

2008-12-01

We develop adaptive [theta]-methods for solving the Black-Scholes PDE for American options. By adding a small, continuous term, the Black-Scholes PDE becomes an advection-diffusion-reaction equation on a fixed spatial domain. Standard implementation of [theta]-methods would require a Newton-type iterative procedure at each time step thereby increasing the computational complexity of the methods. Our linearly implicit approach avoids such complications. We establish a general framework under which [theta]-methods satisfy a discrete version of the positivity constraint characteristic of American options, and numerically demonstrate the sensitivity of the constraint. The positivity results are established for the single-asset and independent two-asset models. In addition, we have incorporated and analyzed an adaptive time-step control strategy to increase the computational efficiency. Numerical experiments are presented for one- and two-asset American options, using adaptive exponential splitting for two-asset problems. The approach is compared with an iterative solution of the two-asset problem in terms of computational efficiency.

Immigrants in the one percent: The national origin of top wealth owners

PubMed Central

Keister, Lisa A.; Aronson, Brian

2017-01-01

Background Economic inequality in the United States is extreme, but little is known about the national origin of affluent households. Households in the top one percent by total wealth own vastly disproportionate quantities of household assets and have correspondingly high levels of economic, social, and political influence. The overrepresentation of white natives (i.e., those born in the U.S.) among high-wealth households is well-documented, but changing migration dynamics suggest that a growing portion of top households may be immigrants. Methods Because no single survey dataset contains top wealth holders and data about country of origin, this paper uses two publicly-available data sets: the Survey of Consumer Finances (SCF) and the Survey of Income and Program Participation (SIPP). Multiple imputation is used to impute country of birth from the SIPP into the SCF. Descriptive statistics are used to demonstrate reliability of the method, to estimate the prevalence of immigrants among top wealth holders, and to document patterns of asset ownership among affluent immigrants. Results Significant numbers of top wealth holders who are usually classified as white natives may be immigrants. Many top wealth holders appear to be European and Canadian immigrants, and increasing numbers of top wealth holders are likely from Asia and Latin America as well. Results suggest that of those in the top one percent of wealth holders, approximately 3% are European and Canadian immigrants, .5% are from Mexico or Cuban, and 1.7% are from Asia (especially Hong Kong, Taiwan, Mainland China, and India). Ownership of key assets varies considerably across affluent immigrant groups. Conclusion Although the percentage of top wealth holders who are immigrants is relatively small, these percentages represent large numbers of households with considerable resources and corresponding social and political influence. Evidence that the propensity to allocate wealth to real and financial assets varies across immigrant groups suggests that wealth ownership is more global than previous research suggests and that immigrant groups are likely to become more prevalent in top wealth positions in the U.S. As the representation of immigrants in top wealth positions grows, their economic, social, and political influence is likely to increase as well. PMID:28231335

Immigrants in the one percent: The national origin of top wealth owners.

PubMed

Keister, Lisa A; Aronson, Brian

2017-01-01

Economic inequality in the United States is extreme, but little is known about the national origin of affluent households. Households in the top one percent by total wealth own vastly disproportionate quantities of household assets and have correspondingly high levels of economic, social, and political influence. The overrepresentation of white natives (i.e., those born in the U.S.) among high-wealth households is well-documented, but changing migration dynamics suggest that a growing portion of top households may be immigrants. Because no single survey dataset contains top wealth holders and data about country of origin, this paper uses two publicly-available data sets: the Survey of Consumer Finances (SCF) and the Survey of Income and Program Participation (SIPP). Multiple imputation is used to impute country of birth from the SIPP into the SCF. Descriptive statistics are used to demonstrate reliability of the method, to estimate the prevalence of immigrants among top wealth holders, and to document patterns of asset ownership among affluent immigrants. Significant numbers of top wealth holders who are usually classified as white natives may be immigrants. Many top wealth holders appear to be European and Canadian immigrants, and increasing numbers of top wealth holders are likely from Asia and Latin America as well. Results suggest that of those in the top one percent of wealth holders, approximately 3% are European and Canadian immigrants, .5% are from Mexico or Cuban, and 1.7% are from Asia (especially Hong Kong, Taiwan, Mainland China, and India). Ownership of key assets varies considerably across affluent immigrant groups. Although the percentage of top wealth holders who are immigrants is relatively small, these percentages represent large numbers of households with considerable resources and corresponding social and political influence. Evidence that the propensity to allocate wealth to real and financial assets varies across immigrant groups suggests that wealth ownership is more global than previous research suggests and that immigrant groups are likely to become more prevalent in top wealth positions in the U.S. As the representation of immigrants in top wealth positions grows, their economic, social, and political influence is likely to increase as well.

Analysis and Research on the Optimal Allocation of Regional Water Resources

NASA Astrophysics Data System (ADS)

rui-chao, Xi; yu-jie, Gu

2018-06-01

Starting from the basic concept of optimal allocation of water resources, taking the allocation of water resources in Tianjin as an example, the present situation of water resources in Tianjin is analyzed, and the multi-objective optimal allocation model of water resources is used to optimize the allocation of water resources. We use LINGO to solve the model, get the optimal allocation plan that meets the economic and social benefits, and put forward relevant policies and regulations, so as to provide theoretical which is basis for alleviating and solving the problem of water shortage.

Dealing with equality and benefit for water allocation in a lake watershed: A Gini-coefficient based stochastic optimization approach

NASA Astrophysics Data System (ADS)

Dai, C.; Qin, X. S.; Chen, Y.; Guo, H. C.

2018-06-01

A Gini-coefficient based stochastic optimization (GBSO) model was developed by integrating the hydrological model, water balance model, Gini coefficient and chance-constrained programming (CCP) into a general multi-objective optimization modeling framework for supporting water resources allocation at a watershed scale. The framework was advantageous in reflecting the conflicting equity and benefit objectives for water allocation, maintaining the water balance of watershed, and dealing with system uncertainties. GBSO was solved by the non-dominated sorting Genetic Algorithms-II (NSGA-II), after the parameter uncertainties of the hydrological model have been quantified into the probability distribution of runoff as the inputs of CCP model, and the chance constraints were converted to the corresponding deterministic versions. The proposed model was applied to identify the Pareto optimal water allocation schemes in the Lake Dianchi watershed, China. The optimal Pareto-front results reflected the tradeoff between system benefit (αSB) and Gini coefficient (αG) under different significance levels (i.e. q) and different drought scenarios, which reveals the conflicting nature of equity and efficiency in water allocation problems. A lower q generally implies a lower risk of violating the system constraints and a worse drought intensity scenario corresponds to less available water resources, both of which would lead to a decreased system benefit and a less equitable water allocation scheme. Thus, the proposed modeling framework could help obtain the Pareto optimal schemes under complexity and ensure that the proposed water allocation solutions are effective for coping with drought conditions, with a proper tradeoff between system benefit and water allocation equity.

Analysis System for Self-Efficacy Training (ASSET). Assessing treatment fidelity of self-management interventions.

PubMed

Zinken, Katarzyna M; Cradock, Sue; Skinner, T Chas

2008-08-01

The paper presents the development of a coding tool for self-efficacy orientated interventions in diabetes self-management programmes (Analysis System for Self-Efficacy Training, ASSET) and explores its construct validity and clinical utility. Based on four sources of self-efficacy (i.e., mastery experience, role modelling, verbal persuasion and physiological and affective states), published self-efficacy based interventions for diabetes care were analysed in order to identify specific verbal behavioural techniques. Video-recorded facilitating behaviours were evaluated using ASSET. The reliability between four coders was high (K=0.71). ASSET enabled assessment of both self-efficacy based techniques and participants' response to those techniques. Individual patterns of delivery and shifts over time across facilitators were found. In the presented intervention we observed that self-efficacy utterances were followed by longer patient verbal responses than non-self-efficacy utterances. These detailed analyses with ASSET provide rich data and give the researcher an insight into the underlying mechanism of the intervention process. By providing a detailed description of self-efficacy strategies ASSET can be used by health care professionals to guide reflective practice and support training programmes.

Asset Literacy Following Stroke: Implications for Disaster Resilience.

PubMed

O'Sullivan, Tracey L; Fahim, Christine; Gagnon, Elizabeth

2017-10-17

The World Stroke Organization "1 in 6" campaign aims to raise awareness that 1 in 6 persons will experience a stroke during their lifetime. With aging populations and improved survival rates, an increased number of survivors live with functional limitations and require supportive care. This has important implications for implementing an all-of-society approach to disaster risk reduction. In this study, we explore the assets that stroke survivors and caregivers consider useful in supporting their capacity to manage routine activities and independent living and to respond to a disaster. Transcripts from interviews with stroke survivors and caregivers were analyzed by use of content analysis. Assets were categorized into 4 classes: social, physical, energy, and personal characteristics and are presented as a household map. Emergent themes suggested that understanding how to mobilize assets is complicated yet essential for building resilience. Household resilience requires people have self-efficacy and motivation to move from awareness to action. The findings informed development of a conceptual model of asset literacy and household resilience following stroke. Interventions to enhance asset literacy can support an all-of-society approach to disaster risk reduction through awareness, empowerment, participation, innovation, and engagement. (Disaster Med Public Health Preparedness. 2017;page 1 of 9).

Reducing health inequities affecting immigrant women: a qualitative study of their available assets.

PubMed

Bonmatí-Tomás, Anna; Malagón-Aguilera, Maria Del Carmen; Bosch-Farré, Cristina; Gelabert-Vilella, Sandra; Juvinyà-Canal, Dolors; Garcia Gil, Maria Del Mar

2016-07-07

Immigrant women often experience health inequities, whether for reasons of gender, country of origin, or socioeconomic status. The view of immigrant women has always focussed on their needs, without taking into account their available assets. A salutogenic approach incorporating an assets analysis could provide a new perspective on the design of health promotion interventions to reduce health inequities. The study objective was to identify the assets of this group of women as a necessary first step in changing the paradigm used in such health promotion interventions. This qualitative study combined focus groups, in-depth interviews, and a photovoice session. The aim was to describe the assets of this group, based on Antonovsky's salutogenic approach and assets model. Qualitative results were interpreted with a phenomenological focus, identifying each individual's internal, community, and institutional assets. The self awareness of skills was linked to a person's description of herself as being optimistic, having religious beliefs, and having motivations and objectives in life, for herself, her family or her children. Being motivated helped the women to persist in doing or learning things that could be useful in confronting difficult situations. Another selfawareness skill was feeling useful to others, whether this was due to religious beliefs about their role in life or to the importance of the mutual support of interpersonal relationships. High optimism, strong capacity for struggle and self-initiative, the importance of religious beliefs, social support, and concern for their children's future were described as assets of immigrant women. Identification of these assets allows us to develop more in-depth knowledge and better tools for health promotion programs and policies intended to reduce health inequities in this population of immigrant women.

The Relationship Between Developmental Assets and Food Security In Adolescents From A Low-Income Community

PubMed Central

Shtasel-Gottlieb, Zoë; Palakshappa, Deepak; Yang, Fanyu; Goodman, Elizabeth

2014-01-01

Purpose To explore the association between developmental assets (characteristics, experiences, and relationships that shape healthy development) and food insecurity among adolescents from a low-income, urban community. Methods This mixed methods study occurred in two phases. In Phase 1, using a census approach, 2350 6-12th graders from the public school district completed an anonymous survey that included the Development Assets Profile (DAP), youth self-report form of the Core Food Security Module, and demographic questions. Logistic and multinomial regression analyses determined independent associations between developmental assets and food security adjusting for demographics. In Phase 2, 20 adult key informant interviews and four semi-structured student focus groups were performed to explain findings from Phase 1. Results On average, DAP scores were consistent with national norms. Food insecurity was prevalent; 14.9% reported low food security and 8.6% very low food security (VLFS). Logistic regression revealed that higher DAP was associated with lower odds of food insecurity (OR=.96, 95% CI=.95-.97); family assets drove this association(OR=.93, 95% CI=.91-.95). In multinomial regression modeling, these associations persisted and, paradoxically, higher community assets were also associated with VLFS (ORVLFS=1.08, 95% CI=1.04-1.13). Qualitative analyses suggested that greater need among VLFS youth led to increased connections to community resources despite barriers to access such as stigma, home instability, and cultural differences. Conclusion Food insecurity is a pervasive problem among adolescents from low-income communities and is associated with lower developmental assets, particularly family assets. That community assets were higher among VLFS youth underscores the importance of community-level resources in struggling areas. PMID:25620305

The relationship between developmental assets and food security in adolescents from a low-income community.

PubMed

Shtasel-Gottlieb, Zoë; Palakshappa, Deepak; Yang, Fanyu; Goodman, Elizabeth

2015-02-01

To explore the association between developmental assets (characteristics, experiences, and relationships that shape healthy development) and food insecurity among adolescents from a low-income urban community. This mixed-methods study occurred in two phases. In phase 1, using a census approach, 2,350 6th to 12th graders from the public school district completed an anonymous survey that included the developmental assets profile (DAP), the youth self-report form of the Core Food Security Module, and demographic questions. Logistic and multinomial regression analyses determined independent associations between developmental assets and food security adjusting for demographics. In phase 2, 20 adult key informant interviews and four semistructured student focus groups were performed to explain findings from phase 1. On average, DAP scores were consistent with national norms. Food insecurity was prevalent; 14.9% reported low food security and 8.6% very low food security (VLFS). Logistic regression revealed that higher DAP was associated with lower odds of food insecurity (odds ratio [OR], .96; 95% confidence interval [CI], .95-.97); family assets drove this association (OR, .93; 95% CI, .91-.95). In multinomial regression modeling, these associations persisted, and paradoxically, higher community assets were also associated with VLFS (ORVLFS, 1.08; 95% CI, 1.04-1.13). Qualitative analyses suggested that greater need among VLFS youth led to increased connections to community resources despite barriers to access such as stigma, home instability, and cultural differences. Food insecurity is a pervasive problem among adolescents from low-income communities and is associated with lower developmental assets, particularly family assets. The fact that community assets were higher among VLFS youth underscores the importance of community-level resources in struggling areas. Copyright © 2015 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Prediction future asset price which is non-concordant with the historical distribution

NASA Astrophysics Data System (ADS)

Seong, Ng Yew; Hin, Pooi Ah

2015-12-01

This paper attempts to predict the major characteristics of the future asset price which is non-concordant with the distribution estimated from the price today and the prices on a large number of previous days. The three major characteristics of the i-th non-concordant asset price are the length of the interval between the occurrence time of the previous non-concordant asset price and that of the present non-concordant asset price, the indicator which denotes that the non-concordant price is extremely small or large by its values -1 and 1 respectively, and the degree of non-concordance given by the negative logarithm of the probability of the left tail or right tail of which one of the end points is given by the observed future price. The vector of three major characteristics of the next non-concordant price is modelled to be dependent on the vectors corresponding to the present and l - 1 previous non-concordant prices via a 3-dimensional conditional distribution which is derived from a 3(l + 1)-dimensional power-normal mixture distribution. The marginal distribution for each of the three major characteristics can then be derived from the conditional distribution. The mean of the j-th marginal distribution is an estimate of the value of the j-th characteristics of the next non-concordant price. Meanwhile, the 100(α/2) % and 100(1 - α/2) % points of the j-th marginal distribution can be used to form a prediction interval for the j-th characteristic of the next non-concordant price. The performance measures of the above estimates and prediction intervals indicate that the fitted conditional distribution is satisfactory. Thus the incorporation of the distribution of the characteristics of the next non-concordant price in the model for asset price has a good potential of yielding a more realistic model.

RiskScape Volcano: Development of a risk assessment tool for volcanic hazards

NASA Astrophysics Data System (ADS)

Deligne, Natalia; King, Andrew; Jolly, Gill; Wilson, Grant; Wilson, Tom; Lindsay, Jan

2013-04-01

RiskScape is a multi-hazard risk assessment tool developed by GNS Science and the National Institute of Water and Atmospheric Research Ltd. (NIWA) in New Zealand that models the risk and impact of various natural hazards on a given built environment. RiskScape has a modular structure: the hazard module models hazard exposure (e.g., ash thickness at a given location), the asset module catalogues assets (built environment, infrastructure, and people) and their attributes exposed to the hazard, and the vulnerability module models the consequences of asset exposure to the hazard. Hazards presently included in RiskScape are earthquakes, river floods, tsunamis, windstorms, and ash from volcanic eruptions (specifically from Ruapehu). Here we present our framework for incorporating other volcanic hazards (e.g., pyroclastic density currents, lava flows, lahars, ground deformation) into RiskScape along with our approach for assessing asset vulnerability. We also will discuss the challenges of evaluating risk for 'point source' (e.g., stratovolcanoes) vs 'diffuse' (e.g., volcanic fields) volcanism using Ruapehu and the Auckland volcanic field as examples. Once operational, RiskScape Volcano will be a valuable resource both in New Zealand and internationally as a practical tool for evaluating risk and also as an example for how to predict the consequences of volcanic eruptions on both rural and urban environments.

Estimating the value of a Country's built assets: investment-based exposure modelling for global risk assessment

NASA Astrophysics Data System (ADS)

Daniell, James; Pomonis, Antonios; Gunasekera, Rashmin; Ishizawa, Oscar; Gaspari, Maria; Lu, Xijie; Aubrecht, Christoph; Ungar, Joachim

2017-04-01

In order to quantify disaster risk, there is a demand and need for determining consistent and reliable economic value of built assets at national or sub national level exposed to natural hazards. The value of the built stock in the context of a city or a country is critical for risk modelling applications as it allows for the upper bound in potential losses to be established. Under the World Bank probabilistic disaster risk assessment - Country Disaster Risk Profiles (CDRP) Program and rapid post-disaster loss analyses in CATDAT, key methodologies have been developed that quantify the asset exposure of a country. In this study, we assess the complementary methods determining value of building stock through capital investment data vs aggregated ground up values based on built area and unit cost of construction analyses. Different approaches to modelling exposure around the world, have resulted in estimated values of built assets of some countries differing by order(s) of magnitude. Using the aforementioned methodology of comparing investment data based capital stock and bottom-up unit cost of construction values per square meter of assets; a suitable range of capital stock estimates for built assets have been created. A blind test format was undertaken to compare the two types of approaches from top-down (investment) and bottom-up (construction cost per unit), In many cases, census data, demographic, engineering and construction cost data are key for bottom-up calculations from previous years. Similarly for the top-down investment approach, distributed GFCF (Gross Fixed Capital Formation) data is also required. Over the past few years, numerous studies have been undertaken through the World Bank Caribbean and Central America disaster risk assessment program adopting this methodology initially developed by Gunasekera et al. (2015). The range of values of the building stock is tested for around 15 countries. In addition, three types of costs - Reconstruction cost (building back to the standard required by building codes); Replacement cost (gross capital stock) and Book value (net capital stock - depreciated value of assets) are discussed and the differences in methodologies assessed. We then examine historical costs (reconstruction and replacement) and losses (book value) of natural disasters versus this upper bound of capital stock in various locations to examine the impact of a reasonable capital stock estimate. It is found that some historic loss estimates in publications are not reasonable given the value of assets at the time of the event. This has applications for quantitative disaster risk assessment and development of country disaster risk profiles, economic analyses and benchmarking upper loss limits of built assets damaged due to natural hazards.

Market dynamics and stock price volatility

NASA Astrophysics Data System (ADS)

Li, H.; Rosser, J. B., Jr.

2004-06-01

This paper presents a possible explanation for some of the empirical properties of asset returns within a heterogeneous-agents framework. The model turns out, even if we assume the input fundamental value follows an simple Gaussian distribution lacking both fat tails and volatility dependence, these features can show up in the time series of asset returns. In this model, the profit comparison and switching between heterogeneous play key roles, which build a connection between endogenous market and the emergence of stylized facts.

Divergence in plant and microbial allocation strategies explains continental patterns in microbial allocation and biogeochemical fluxes.

PubMed

Averill, Colin

2014-10-01

Allocation trade-offs shape ecological and biogeochemical phenomena at local to global scale. Plant allocation strategies drive major changes in ecosystem carbon cycling. Microbial allocation to enzymes that decompose carbon vs. organic nutrients may similarly affect ecosystem carbon cycling. Current solutions to this allocation problem prioritise stoichiometric tradeoffs implemented in plant ecology. These solutions may not maximise microbial growth and fitness under all conditions, because organic nutrients are also a significant carbon resource for microbes. I created multiple allocation frameworks and simulated microbial growth using a microbial explicit biogeochemical model. I demonstrate that prioritising stoichiometric trade-offs does not optimise microbial allocation, while exploiting organic nutrients as carbon resources does. Analysis of continental-scale enzyme data supports the allocation patterns predicted by this framework, and modelling suggests large deviations in soil C loss based on which strategy is implemented. Therefore, understanding microbial allocation strategies will likely improve our understanding of carbon cycling and climate. © 2014 John Wiley & Sons Ltd/CNRS.

Optimal allocation model of construction land based on two-level system optimization theory

NASA Astrophysics Data System (ADS)

Liu, Min; Liu, Yanfang; Xia, Yuping; Lei, Qihong

2007-06-01

The allocation of construction land is an important task in land-use planning. Whether implementation of planning decisions is a success or not, usually depends on a reasonable and scientific distribution method. Considering the constitution of land-use planning system and planning process in China, multiple levels and multiple objective decision problems is its essence. Also, planning quantity decomposition is a two-level system optimization problem and an optimal resource allocation decision problem between a decision-maker in the topper and a number of parallel decision-makers in the lower. According the characteristics of the decision-making process of two-level decision-making system, this paper develops an optimal allocation model of construction land based on two-level linear planning. In order to verify the rationality and the validity of our model, Baoan district of Shenzhen City has been taken as a test case. Under the assistance of the allocation model, construction land is allocated to ten townships of Baoan district. The result obtained from our model is compared to that of traditional method, and results show that our model is reasonable and usable. In the end, the paper points out the shortcomings of the model and further research directions.

Plant allocation of carbon to defense as a function of herbivory, light and nutrient availability

USGS Publications Warehouse

DeAngelis, Donald L.; Ju, Shu; Liu, Rongsong; Bryant, John P.; Gourley, Stephen A.

2012-01-01

We use modeling to determine the optimal relative plant carbon allocations between foliage, fine roots, anti-herbivore defense, and reproduction to maximize reproductive output. The model treats these plant components and the herbivore compartment as variables. Herbivory is assumed to be purely folivory. Key external factors include nutrient availability, degree of shading, and intensity of herbivory. Three alternative functional responses are used for herbivory, two of which are variations on donor-dependent herbivore (models 1a and 1b) and one of which is a Lotka–Volterra type of interaction (model 2). All three were modified to include the negative effect of chemical defenses on the herbivore. Analysis showed that, for all three models, two stable equilibria could occur, which differs from most common functional responses when no plant defense component is included. Optimal strategies of carbon allocation were defined as the maximum biomass of reproductive propagules produced per unit time, and found to vary with changes in external factors. Increased intensity of herbivory always led to an increase in the fractional allocation of carbon to defense. Decreases in available limiting nutrient generally led to increasing importance of defense. Decreases in available light had little effect on defense but led to increased allocation to foliage. Decreases in limiting nutrient and available light led to decreases in allocation to reproduction in models 1a and 1b but not model 2. Increases in allocation to plant defense were usually accompanied by shifts in carbon allocation away from fine roots, possibly because higher plant defense reduced the loss of nutrients to herbivory.

Optimization Model for cooperative water allocation and valuation in large river basins regarding environmental constraints

NASA Astrophysics Data System (ADS)

Pournazeri, S.

2011-12-01

A comprehensive optimization model named Cooperative Water Allocation Model (CWAM) is developed for equitable and efficient water allocation and valuation of Zab river basin in order to solve the draught problems of Orumieh Lake in North West of Iran. The model's methodology consists of three phases. The first represents an initial water rights allocation among competing users. The second comprises the water reallocation process for complete usage by consumers. The third phase performs an allocation of the net benefit of the stakeholders participating in a coalition by applying cooperative game theory. The environmental constraints are accounted for in the water allocation model by entering probable environmental damage in a target function, and inputting the minimum water requirement of users. The potential of underground water usage is evaluated in order to compensate for the variation in the amount of surface water. This is conducted by applying an integrated economic- hydrologic river basin model. A node-link river basin network is utilized in CWAM which consists of two major blocks. The first indicates the internal water rights allocation and the second is associated to water and net benefit reallocation. System control, loss in links by evaporation or seepage, modification of inflow into the node, loss in nodes and loss in outflow are considered in this model. Water valuation is calculated for environmental, industrial, municipal and agricultural usage by net benefit function. It can be seen that the water rights are allocated efficiently and incomes are distributed appropriately based on quality and quantity limitations.

Risks, Assets, and Negative Health Behaviors among Arkansas' Hispanic Adolescents

ERIC Educational Resources Information Center

Fitzpatrick, Kevin M.; Choudary, Wendie; Kearney, Anne; Piko, Bettina F.

2013-01-01

This study examined the relationship between risk, assets, and negative health behaviors among a large sample of Hispanic adolescents. Data were collected from over 1,000 Hispanic youth in grades 6, 8, 10, and 12 attending school in a moderate size school district in Northwest Arkansas. Logistic regression models examined the variation in the odds…

Joint Intelligence Operations Center (JIOC) Baseline Business Process Model & Capabilities Evaluation Methodology

DTIC Science & Technology

2012-03-01

Targeting Review Board OPLAN Operations Plan OPORD Operations Order OPSIT Operational Situation OSINT Open Source Intelligence OV...Analysis Evaluate FLTREPs MISREPs Unit Assign Assets Feedback Asset Shortfalls Multi-Int Collection Political & Embasy Law Enforcement HUMINT OSINT ...Embassy Information OSINT Manage Theater HUMINT Law Enforcement Collection Sort Requests Platform Information Agency Information M-I Collect

Exploring the Relationship between Assets and Family Stress among Low-Income Families

ERIC Educational Resources Information Center

Rothwell, David W.; Han, Chang-Keun

2010-01-01

The "hard times" resulting from the 2008 Great Recession represent an opportunity to re-examine the theoretical framework for how families use economic resources to manage stress. M. Sherraden's (1991) theory of assets and H. I. McCubbin and J. Patterson's (1983) family adjustment and adaptation response model informed this study of how assets…

A Model of Resource Allocation in Public School Districts: A Theoretical and Empirical Analysis.

ERIC Educational Resources Information Center

Chambers, Jay G.

This paper formulates a comprehensive model of resource allocation in a local public school district. The theoretical framework specified could be applied equally well to any number of local public social service agencies. Section 1 develops the theoretical model describing the process of resource allocation. This involves the determination of the…

Resource Allocation Models and Accountability: A Jamaican Case Study

ERIC Educational Resources Information Center

Nkrumah-Young, Kofi K.; Powell, Philip

2008-01-01

Higher education institutions (HEIs) may be funded privately, by the state or by a mixture of the two. Nevertheless, any state financing of HE necessitates a mechanism to determine the level of support and the channels through which it is to be directed; that is, a resource allocation model. Public funding, through resource allocation models,…

The SAFRR tsunami scenario-physical damage in California: Chapter E in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario

USGS Publications Warehouse

Porter, Keith; Byers, William; Dykstra, David; Lim, Amy; Lynett, Patrick; Ratliff, Jaime; Scawthorn, Charles; Wein, Anne; Wilson, Rick

2013-01-01

his chapter attempts to depict a single realistic outcome of the SAFRR (Science Application for Risk Reduction) tsunami scenario in terms of physical damage to and recovery of various aspects of the built environment in California. As described elsewhere in this report, the tsunami is generated by a hypothetical magnitude 9.1 earthquake seaward of the Alaska Peninsula on the Semidi Sector of the Alaska–Aleutian Subduction Zone, 495 miles southwest of Anchorage, at 11:50 a.m. Pacific Daylight Time (PDT) on Thursday March 27, 2014, and arriving at the California coast between 4:00 and 5:40 p.m. (depending on location) the same day. Although other tsunamis could have locally greater impact, this source represents a substantial threat to the state as a whole. One purpose of this chapter is to help operators and users of coastal assets throughout California to develop emergency plans to respond to a real tsunami. Another is to identify ways that operators or owners of these assets can think through options for reducing damage before a future tsunami. A third is to inform the economic analyses for the SAFRR tsunami scenario. And a fourth is to identify research needs to better understand the possible consequences of a tsunami on these assets. The asset classes considered here include the following: Piers, cargo, buildings, and other assets at the Ports of Los Angeles and Long Beach Large vessels in the Ports of Los Angeles and Long Beach Marinas and small craft Coastal buildings Roads and roadway bridges Rail, railway bridges, and rolling stock Agriculture Fire following tsunami Each asset class is examined in a subsection of this chapter. In each subsection, we generally attempt to offer a historical review of damage. We characterize and quantify the assets exposed to loss and describe the modes of damage that have been observed in past tsunamis or are otherwise deemed likely to occur in the SAFRR tsunami scenario. Where practical, we offer a mathematical model of the damageability of assets exposed to loss. Then, applying the damageability model and the velocity, wave amplitude, and inundation models discussed in other SAFRR chapters we offer a single realistic depiction of damage. Other outcomes are of course possible for this hypothetical event. Where practical we estimate repair costs and estimate the duration required to restore the assets to their pre-tsunami condition. We identify opportunities to enhance the resiliency of the assets, either through making them less vulnerable to damage or able to recover more quickly in spite of the damage. Finally, we identify uncertainties in the modeling where research would improve our understanding of the underlying mechanisms of damage and loss or otherwise improve our ability to estimate the future impacts of tsunamis and inform risk-management decisions for tsunamis. However, it is certain that the kinds of damages discussed here have occurred in past tsunamis, even in developed nations, and in a sufficiently large event, will occur in California. Our uncertainties can operate in either direction, either leading to an overestimate of damage or an underestimate. Therefore, losses in an actual future tsunami could be greater than depicted here. Furthermore this evaluation is not intended to be an exhaustive depiction of what could happen in this or similar tsunamis. Other impacts could occur that are not presented here.

GENERATING SOPHISTICATED SPATIAL SURROGATES USING THE MIMS SPATIAL ALLOCATOR

EPA Science Inventory

The Multimedia Integrated Modeling System (MIMS) Spatial Allocator is open-source software for generating spatial surrogates for emissions modeling, changing the map projection of Shapefiles, and performing other types of spatial allocation that does not require the use of a comm...

Optimal investment in a portfolio of HIV prevention programs.

PubMed

Zaric, G S; Brandeau, M L

2001-01-01

In this article, the authors determine the optimal allocation of HIV prevention funds and investigate the impact of different allocation methods on health outcomes. The authors present a resource allocation model that can be used to determine the allocation of HIV prevention funds that maximizes quality-adjusted life years (or life years) gained or HIV infections averted in a population over a specified time horizon. They apply the model to determine the allocation of a limited budget among 3 types of HIV prevention programs in a population of injection drug users and nonusers: needle exchange programs, methadone maintenance treatment, and condom availability programs. For each prevention program, the authors estimate a production function that relates the amount invested to the associated change in risky behavior. The authors determine the optimal allocation of funds for both objective functions for a high-prevalence population and a low-prevalence population. They also consider the allocation of funds under several common rules of thumb that are used to allocate HIV prevention resources. It is shown that simpler allocation methods (e.g., allocation based on HIV incidence or notions of equity among population groups) may lead to alloctions that do not yield the maximum health benefit. The optimal allocation of HIV prevention funds in a population depends on HIV prevalence and incidence, the objective function, the production functions for the prevention programs, and other factors. Consideration of cost, equity, and social and political norms may be important when allocating HIV prevention funds. The model presented in this article can help decision makers determine the health consequences of different allocations of funds.

Markov Chain Model with Catastrophe to Determine Mean Time to Default of Credit Risky Assets

NASA Astrophysics Data System (ADS)

Dharmaraja, Selvamuthu; Pasricha, Puneet; Tardelli, Paola

2017-11-01

This article deals with the problem of probabilistic prediction of the time distance to default for a firm. To model the credit risk, the dynamics of an asset is described as a function of a homogeneous discrete time Markov chain subject to a catastrophe, the default. The behaviour of the Markov chain is investigated and the mean time to the default is expressed in a closed form. The methodology to estimate the parameters is given. Numerical results are provided to illustrate the applicability of the proposed model on real data and their analysis is discussed.

Optimal manpower allocation in aircraft line maintenance (Case in GMF AeroAsia)

NASA Astrophysics Data System (ADS)

Puteri, V. E.; Yuniaristanto, Hisjam, M.

2017-11-01

This paper presents a mathematical modeling to find the optimal manpower allocation in an aircraft line maintenance. This research focuses on assigning the number and type of manpower that allocated to each service. This study considers the licenced worker or Aircraft Maintenance Engineer Licence (AMEL) and non licenced worker or Aircraft Maintenance Technician (AMT). In this paper, we also consider the relationship of each station in terms of the possibility to transfer the manpower among them. The optimization model considers the number of manpowers needed for each service and the requirement of AMEL worker. This paper aims to determine the optimal manpower allocation using the mathematical modeling. The objective function of the model is to find the minimum employee expenses. The model was solved using the ILOG CPLEX software. The results show that the manpower allocation can meet the manpower need and the all load can be served.

GSTARI model of BPR assets in West Java, Central Java, and East Java

NASA Astrophysics Data System (ADS)

Susanti, Susi; Sulistijowati Handajani, Sri; Indriati, Diari

2018-05-01

Bank Perkreditan Rakyat (BPR) is a financial institution in Indonesia dealing with Micro, Small, and Medium Enterprises (MSMEs). Though limited to MSMEs, the development of the BPR industry continues to increase. West Java, Central Java, and East Java have high BPR asset development are suspected to be interconnected because of their economic activities as a neighboring provincies. BPR assets are nonstationary time series data that follow the uptrend pattern. Therefore, the suitable model with the data is generalized space time autoregressive integrated (GSTARI) which considers the spatial and time interrelationships. GSTARI model used spatial order 1 and the autoregressive order is obtained of optimal lag which has the smallest value of Akaike information criterion corrected. The correlation test results showed that the location used in this study had a close relationship. Based on the results of model identification, the best model obtained is GSTAR(31)-I(1). The parameter estimation used the ordinary least squares with the selection of significant variables used the stepwise method and the normalization cross correlation weighting. The residual model fulfilled the assumption of white noise and normal multivariate, so the model was appropriate. The average RMSE and MAPE values of the model were 498.75 and 2.48%.

An Allocation Model for Teaching and Non-Teaching Staff in a Decentralized Institution. AIR 1984 Annual Forum Paper.

ERIC Educational Resources Information Center

Dijkman, Frank G.

A new allocation model for teaching and nonteaching staff has been developed at the University of Utrecht, in the Netherlands. The model may be characterized as highly normative, leading to lump sums to be allocated to academic departments. These departments in turn are free, within constraints, to budget their activities differently than is…

A novel profit-allocation strategy for SDN enterprises

NASA Astrophysics Data System (ADS)

Hu, Wei; Hou, Ye; Tian, Longwei; Li, Yuan

2017-01-01

Aiming to solve the problem of profit allocation for supply and demand network (SDN) enterprises that ignores risk factors and generates low satisfaction, a novel profit-allocation model based on cooperative game theory and TOPSIS is proposed. This new model avoids the defect of the single-profit allocation model by introducing risk factors, compromise coefficients and high negotiation points. By measuring the Euclidean distance between the ideal solution vector and the negative ideal solution vector, every node's satisfaction problem for the SDN was resolved, and the mess phenomenon was avoided. Finally, the rationality and effectiveness of the proposed model was verified using a numerical example.

Husband and Wife Perspectives on Farm Household Decision-making Authority and Evidence on Intra-household Accord in Rural Tanzania.

PubMed

Anderson, C Leigh; Reynolds, Travis W; Gugerty, Mary Kay

2017-02-01

We use OLS and logistic regression to investigate variation in husband and wife perspectives on the division of authority over agriculture-related decisions within households in rural Tanzania. Using original data from husbands and wives (interviewed separately) in 1,851 Tanzanian households, the analysis examines differences in the wife's authority over 13 household and farming decisions. The study finds that the level of decision-making authority allocated to wives by their husbands, and the authority allocated by wives to themselves, both vary significantly across households. In addition to commonly considered assets such as women's age and education, in rural agricultural households women's health and labor activities also appear to matter for perceptions of authority. We also find husbands and wives interviewed separately frequently disagree with each other over who holds authority over key farming, family, and livelihood decisions. Further, the results of OLS and logistic regression suggest that even after controlling for various individual, household, and regional characteristics, husband and wife claims to decision-making authority continue to vary systematically by decision-suggesting that decision characteristics themselves also matter. The absence of spousal agreement over the allocation of authority (i.e., a lack of "intra-household accord") over different farm and household decisions is problematic for interventions seeking to use survey data to develop and inform strategies for reducing gender inequalities or empowering women in rural agricultural households. Findings provide policy and program insights into when studies interviewing only a single spouse or considering only a single decision may inaccurately characterize intra-household decision-making dynamics.

Stochastic resource allocation in emergency departments with a multi-objective simulation optimization algorithm.

PubMed

Feng, Yen-Yi; Wu, I-Chin; Chen, Tzu-Li

2017-03-01

The number of emergency cases or emergency room visits rapidly increases annually, thus leading to an imbalance in supply and demand and to the long-term overcrowding of hospital emergency departments (EDs). However, current solutions to increase medical resources and improve the handling of patient needs are either impractical or infeasible in the Taiwanese environment. Therefore, EDs must optimize resource allocation given limited medical resources to minimize the average length of stay of patients and medical resource waste costs. This study constructs a multi-objective mathematical model for medical resource allocation in EDs in accordance with emergency flow or procedure. The proposed mathematical model is complex and difficult to solve because its performance value is stochastic; furthermore, the model considers both objectives simultaneously. Thus, this study develops a multi-objective simulation optimization algorithm by integrating a non-dominated sorting genetic algorithm II (NSGA II) with multi-objective computing budget allocation (MOCBA) to address the challenges of multi-objective medical resource allocation. NSGA II is used to investigate plausible solutions for medical resource allocation, and MOCBA identifies effective sets of feasible Pareto (non-dominated) medical resource allocation solutions in addition to effectively allocating simulation or computation budgets. The discrete event simulation model of ED flow is inspired by a Taiwan hospital case and is constructed to estimate the expected performance values of each medical allocation solution as obtained through NSGA II. Finally, computational experiments are performed to verify the effectiveness and performance of the integrated NSGA II and MOCBA method, as well as to derive non-dominated medical resource allocation solutions from the algorithms.

Updates to the Demographic and Spatial Allocation Models to ...

EPA Pesticide Factsheets

EPA announced the availability of the draft report, Updates to the Demographic and Spatial Allocation Models to Produce Integrated Climate and Land Use Scenarios (ICLUS) for a 30-day public comment period. The ICLUS version 2 (v2) modeling tool furthered land change modeling by providing nationwide housing development scenarios up to 2100. ICLUS V2 includes updated population and land use data sets and addressing limitations identified in ICLUS v1 in both the migration and spatial allocation models. The companion user guide describes the development of ICLUS v2 and the updates that were made to the original data sets and the demographic and spatial allocation models. [2017 UPDATE] Get the latest version of ICLUS and stay up-to-date by signing up to the ICLUS mailing list. The GIS tool enables users to run SERGoM with the population projections developed for the ICLUS project and allows users to modify the spatial allocation housing density across the landscape.

Framework for Shared Drinking Water Risk Assessment.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lowry, Thomas Stephen; Tidwell, Vincent C.; Peplinski, William John

Central to protecting our nation's critical infrastructure is the development of methodologies for prioritizing action and supporting resource allocation decisions associated with risk-reduction initiatives. Toward this need a web-based risk assessment framework that promotes the anonymous sharing of results among water utilities is demonstrated. Anonymous sharing of results offers a number of potential advantages such as assistance in recognizing and correcting bias, identification of 'unknown, unknowns', self-assessment and benchmarking for the local utility, treatment of shared assets and/or threats across multiple utilities, and prioritization of actions beyond the scale of a single utility. The constructed framework was demonstrated for threemore » water utilities. Demonstration results were then compared to risk assessment results developed using a different risk assessment application by a different set of analysts.« less

Cash transfer programme, productive activities and labour supply: Evidence from randomized experiment in Kenya

PubMed Central

Asfaw, Solomon; Davis, Benjamin; Dewbre, Josh; Handa, Sudhanshu; Winters, Paul

2015-01-01

This paper reports analysis of the impact of Kenya’s Cash Transfer for Orphans and Vulnerable Children Programme on the household decisions on productive activities using data from a randomized experimental design. Results show that the programme had a positive and significant impact on food consumption coming from home production, accumulation of productive assets, especially on the ownership of small livestock and on formation of nonfarm enterprise, especially for females. The programme has provided more flexibility to families in terms of labour allocation decisions, particularly for those who are geographically isolated. The programme was also found to have reduced child labour, an important objective of the programme. However we find very little impact of the programme on direct indicators of crop production. PMID:25663712

Financial management and dental school equity, Part II: Tactics.

PubMed

Chambers, David W; Bergstrom, Roy

2004-04-01

Financial management includes all processes that build organizations' equity through accumulating assets in strategically important areas. The tactical aspects of financial management are budget deployment and monitoring. Budget deployment is the process of making sure that costs are fairly allocated. Budget monitoring addresses issues of effective uses and outcomes of resources. This article describes contemporary deployment and monitoring mechanisms, including revenue positive and marginal analysis, present value, program phases, options logic, activity-based costing, economic value added, cost of quality, variance reconciliation, and balanced scorecards. The way financial decisions are framed affects comparative decision-making and even influences the arithmetic of accounting. Familiarity with these concepts should make it possible for dental educators to more fully participate in discussions about the relationships between budgeting and program strategy.

GENERAL: Kinetic Behaviors of Catalysis-Driven Growth of Three-Species Aggregates on Base of Exchange-Driven Aggregations

NASA Astrophysics Data System (ADS)

Sun, Yun-Fei; Chen, Dan; Lin, Zhen-Quan; Ke, Jian-Hong

2009-06-01

We propose a solvable aggregation model to mimic the evolution of population A, asset B, and the quantifiable resource C in a society. In this system, the population and asset aggregates themselves grow through self-exchanges with the rate kernels K1(k, j) = K1kj and K2(k, j) = K2kj, respectively. The actions of the population and asset aggregations on the aggregation evolution of resource aggregates are described by the population-catalyzed monomer death of resource aggregates and asset-catalyzed monomer birth of resource aggregates with the rate kernels J1(k, j) = J1k and J2(k, j) = J2k, respectively. Meanwhile, the asset and resource aggregates conjunctly catalyze the monomer birth of population aggregates with the rate kernel I1(k, i, j) = I1kiμjη, and population and resource aggregates conjunctly catalyze the monomer birth of asset aggregates with the rate kernel I2(k, i, j) = I2kivjη. The kinetic behaviors of species A, B, and C are investigated by means of the mean-field rate equation approach. The effects of the population-catalyzed death and asset-catalyzed birth on the evolution of resource aggregates based on the self-exchanges of population and asset appear in effective forms. The coefficients of the effective population-catalyzed death and the asset-catalyzed birth are expressed as J1e = J1/K1 and J2e = J2/K2, respectively. The aggregate size distribution of C species is found to be crucially dominated by the competition between the effective death and the effective birth. It satisfies the conventional scaling form, generalized scaling form, and modified scaling form in the cases of J1e < J2e, J1e = J2e, and J1e > J2e, respectively. Meanwhile, we also find the aggregate size distributions of populations and assets both fall into two distinct categories for different parameters μ, ν, and η: (i) When μ = ν = η = 0 and μ = ν = 0, η = 1, the population and asset aggregates obey the generalized scaling forms; and (ii) When μ = ν = 1, η = 0, and μ = ν = η = 1, the population and asset aggregates experience gelation transitions at finite times and the scaling forms break down.

Optimal allocation of bulk water supplies to competing use sectors based on economic criterion - An application to the Chao Phraya River Basin, Thailand

NASA Astrophysics Data System (ADS)

Divakar, L.; Babel, M. S.; Perret, S. R.; Gupta, A. Das

2011-04-01

SummaryThe study develops a model for optimal bulk allocations of limited available water based on an economic criterion to competing use sectors such as agriculture, domestic, industry and hydropower. The model comprises a reservoir operation module (ROM) and a water allocation module (WAM). ROM determines the amount of water available for allocation, which is used as an input to WAM with an objective function to maximize the net economic benefits of bulk allocations to different use sectors. The total net benefit functions for agriculture and hydropower sectors and the marginal net benefit from domestic and industrial sectors are established and are categorically taken as fixed in the present study. The developed model is applied to the Chao Phraya basin in Thailand. The case study results indicate that the WAM can improve net economic returns compared to the current water allocation practices.

Building Assets Reducing Risks: Academic Success for All Students through Positive Relationships and Use of Real-Time Data

ERIC Educational Resources Information Center

Corsello, Maryann; Sharma, Anu; Jerabek, Angela

2015-01-01

Building Assets Reducing Risks (BARR) is a social emotional model that achieves academic outcomes through combining use of real-time student data with proven relationship-building strategies and intensive teacher collaboration to prevent course failure. BARR is a recipient of US Department of Education "Investing in Innovation (i3)"…

Supporting multiple domains in a single reuse repository

NASA Technical Reports Server (NTRS)

Eichmann, David A.

1992-01-01

Domain analysis typically results in the construction of a domain-specific repository. Such a repository imposes artificial boundaries on the sharing of similar assets between related domains. A lattice-based approach to repository modeling can preserve a reuser's domain specific view of the repository, while avoiding replication of commonly used assets and supporting a more general perspective on domain interrelationships.

Avoidable Software Procurements

DTIC Science & Technology

2012-09-01

software license, software usage, ELA, Software as a Service , SaaS , Software Asset...PaaS Platform as a Service SaaS Software as a Service SAM Software Asset Management SMS System Management Server SEWP Solutions for Enterprise Wide...delivery of full Cloud Services , we will see the transition of the Cloud Computing service model from Iaas to SaaS , or Software as a Service . Software

The Influence of Youth Assets on the Career Decision Self-Efficacy in Unattached Jamaican Youth

ERIC Educational Resources Information Center

Hayes, DeMarquis; Huey, Erron L.; Hull, Darrell M.; Saxon, Terrill F.

2012-01-01

The present study expands the career decision self-efficacy (CDSE) literature by focusing on a sample of unattached Jamaican youth to determine if youth assets (protective factors like family communication and peer role models) were predictive of increased CDSE. Unattached youth are defined as those that do not have a job or are not currently…

BIM: Enabling Sustainability and Asset Management through Knowledge Management

PubMed Central

2013-01-01

Building Information Modeling (BIM) is the use of virtual building information models to develop building design solutions and design documentation and to analyse construction processes. Recent advances in IT have enabled advanced knowledge management, which in turn facilitates sustainability and improves asset management in the civil construction industry. There are several important qualifiers and some disadvantages of the current suite of technologies. This paper outlines the benefits, enablers, and barriers associated with BIM and makes suggestions about how these issues may be addressed. The paper highlights the advantages of BIM, particularly the increased utility and speed, enhanced fault finding in all construction phases, and enhanced collaborations and visualisation of data. The paper additionally identifies a range of issues concerning the implementation of BIM as follows: IP, liability, risks, and contracts and the authenticity of users. Implementing BIM requires investment in new technology, skills training, and development of new ways of collaboration and Trade Practices concerns. However, when these challenges are overcome, BIM as a new information technology promises a new level of collaborative engineering knowledge management, designed to facilitate sustainability and asset management issues in design, construction, asset management practices, and eventually decommissioning for the civil engineering industry. PMID:24324392

BIM: enabling sustainability and asset management through knowledge management.

PubMed

Kivits, Robbert Anton; Furneaux, Craig

2013-11-10

Building Information Modeling (BIM) is the use of virtual building information models to develop building design solutions and design documentation and to analyse construction processes. Recent advances in IT have enabled advanced knowledge management, which in turn facilitates sustainability and improves asset management in the civil construction industry. There are several important qualifiers and some disadvantages of the current suite of technologies. This paper outlines the benefits, enablers, and barriers associated with BIM and makes suggestions about how these issues may be addressed. The paper highlights the advantages of BIM, particularly the increased utility and speed, enhanced fault finding in all construction phases, and enhanced collaborations and visualisation of data. The paper additionally identifies a range of issues concerning the implementation of BIM as follows: IP, liability, risks, and contracts and the authenticity of users. Implementing BIM requires investment in new technology, skills training, and development of new ways of collaboration and Trade Practices concerns. However, when these challenges are overcome, BIM as a new information technology promises a new level of collaborative engineering knowledge management, designed to facilitate sustainability and asset management issues in design, construction, asset management practices, and eventually decommissioning for the civil engineering industry.

Twelve fundamental life histories evolving through allocation-dependent fecundity and survival.

PubMed

Johansson, Jacob; Brännström, Åke; Metz, Johan A J; Dieckmann, Ulf

2018-03-01

An organism's life history is closely interlinked with its allocation of energy between growth and reproduction at different life stages. Theoretical models have established that diminishing returns from reproductive investment promote strategies with simultaneous investment into growth and reproduction (indeterminate growth) over strategies with distinct phases of growth and reproduction (determinate growth). We extend this traditional, binary classification by showing that allocation-dependent fecundity and mortality rates allow for a large diversity of optimal allocation schedules. By analyzing a model of organisms that allocate energy between growth and reproduction, we find twelve types of optimal allocation schedules, differing qualitatively in how reproductive allocation increases with body mass. These twelve optimal allocation schedules include types with different combinations of continuous and discontinuous increase in reproduction allocation, in which phases of continuous increase can be decelerating or accelerating. We furthermore investigate how this variation influences growth curves and the expected maximum life span and body size. Our study thus reveals new links between eco-physiological constraints and life-history evolution and underscores how allocation-dependent fitness components may underlie biological diversity.

Procuring load curtailment from local customers under uncertainty.

PubMed

Mijatović, Aleksandar; Moriarty, John; Vogrinc, Jure

2017-08-13

Demand side response (DSR) provides a flexible approach to managing constrained power network assets. This is valuable if future asset utilization is uncertain. However there may be uncertainty over the process of procurement of DSR from customers. In this context we combine probabilistic modelling, simulation and optimization to identify economically optimal procurement policies from heterogeneous customers local to the asset, under chance constraints on the adequacy of the procured DSR. Mathematically this gives rise to a search over permutations, and we provide an illustrative example implementation and case study.This article is part of the themed issue 'Energy management: flexibility, risk and optimization'. © 2017 The Author(s).

Pricing geometric Asian rainbow options under fractional Brownian motion

NASA Astrophysics Data System (ADS)

Wang, Lu; Zhang, Rong; Yang, Lin; Su, Yang; Ma, Feng

2018-03-01

In this paper, we explore the pricing of the assets of Asian rainbow options under the condition that the assets have self-similar and long-range dependence characteristics. Based on the principle of no arbitrage, stochastic differential equation, and partial differential equation, we obtain the pricing formula for two-asset rainbow options under fractional Brownian motion. Next, our Monte Carlo simulation experiments show that the derived pricing formula is accurate and effective. Finally, our sensitivity analysis of the influence of important parameters, such as the risk-free rate, Hurst exponent, and correlation coefficient, on the prices of Asian rainbow options further illustrate the rationality of our pricing model.

A boundary PDE feedback control approach for the stabilization of mortgage price dynamics

NASA Astrophysics Data System (ADS)

Rigatos, G.; Siano, P.; Sarno, D.

2017-11-01

Several transactions taking place in financial markets are dependent on the pricing of mortgages (loans for the purchase of residences, land or farms). In this article, a method for stabilization of mortgage price dynamics is developed. It is considered that mortgage prices follow a PDE model which is equivalent to a multi-asset Black-Scholes PDE. Actually it is a diffusion process evolving in a 2D assets space, where the first asset is the house price and the second asset is the interest rate. By applying semi-discretization and a finite differences scheme this multi-asset PDE is transformed into a state-space model consisting of ordinary nonlinear differential equations. For the local subsystems, into which the mortgage PDE is decomposed, it becomes possible to apply boundary-based feedback control. The controller design proceeds by showing that the state-space model of the mortgage price PDE stands for a differentially flat system. Next, for each subsystem which is related to a nonlinear ODE, a virtual control input is computed, that can invert the subsystem's dynamics and can eliminate the subsystem's tracking error. From the last row of the state-space description, the control input (boundary condition) that is actually applied to the multi-factor mortgage price PDE system is found. This control input contains recursively all virtual control inputs which were computed for the individual ODE subsystems associated with the previous rows of the state-space equation. Thus, by tracing the rows of the state-space model backwards, at each iteration of the control algorithm, one can finally obtain the control input that should be applied to the mortgage price PDE system so as to assure that all its state variables will converge to the desirable setpoints. By showing the feasibility of such a control method it is also proven that through selected modification of the PDE boundary conditions the price of the mortgage can be made to converge and stabilize at specific reference values.

Forecasting financial asset processes: stochastic dynamics via learning neural networks.

PubMed

Giebel, S; Rainer, M

2010-01-01

Models for financial asset dynamics usually take into account their inherent unpredictable nature by including a suitable stochastic component into their process. Unknown (forward) values of financial assets (at a given time in the future) are usually estimated as expectations of the stochastic asset under a suitable risk-neutral measure. This estimation requires the stochastic model to be calibrated to some history of sufficient length in the past. Apart from inherent limitations, due to the stochastic nature of the process, the predictive power is also limited by the simplifying assumptions of the common calibration methods, such as maximum likelihood estimation and regression methods, performed often without weights on the historic time series, or with static weights only. Here we propose a novel method of "intelligent" calibration, using learning neural networks in order to dynamically adapt the parameters of the stochastic model. Hence we have a stochastic process with time dependent parameters, the dynamics of the parameters being themselves learned continuously by a neural network. The back propagation in training the previous weights is limited to a certain memory length (in the examples we consider 10 previous business days), which is similar to the maximal time lag of autoregressive processes. We demonstrate the learning efficiency of the new algorithm by tracking the next-day forecasts for the EURTRY and EUR-HUF exchange rates each.

Development of water allocation Model Based on ET-Control and Its Application in Haihe River Basin

NASA Astrophysics Data System (ADS)

You, Jinjun; Gan, Hong; Gan, Zhiguo; Wang, Lin

2010-05-01

Traditionally, water allocation is to distribute water to different regions and sectors, without enough consideration on amount of water consumed after water distribution. Water allocation based on ET (evaporation and Transpiration) control changes this idea and emphasizes the absolute amount of evaporation and transpiration in specific area. With this ideology, the amount of ET involved the water allocation includes not only water consumed from the sectors, but the natural ET. Therefore, the water allocation consist of two steps, the first step is to estimate reasonable ET quantum in regions, then allocate water to more detailed regions and various sectors with the ET quantum according with the operational rules. To make qualified ET distribution and water allocation in various regions, a framework is put forward in this paper, in which two models are applied to analyze the different scenarios with predefined economic growth and ecological objective. The first model figures out rational ET objective with multi-objective analysis for compromised solution in economic growth and ecological maintenance. Food security and environmental protection are also taken as constraints in the optimization in the first model. The second one provides hydraulic simulation and water balance to allocate the ET objective to corresponding regions under operational rules. These two models are combined into an integrated ET-Control water allocation. Scenario analysis through the ET-Control Model could discover the relations between economy and ecology, farther to give suggestion on measures to control water use with condition of changing socio-economic growth and ecological objectives. To confirm the methodology, Haihe River is taken as a case to study. Rational water allocation is important branch of decision making on water planning and management in Haihe River Basin since water scarcity and deteriorating environment fights for water in this basin dramatically and reasonable water allocation between economy and ecology is a focus. Considering condition of water scarcity in Haihe River Basin, ET quota is taken as objective for water allocation in provinces to realize the requirement of water inflow into the Bohai Sea. Scenario analysis provides the results of water evaporation from natural water cycle and artificial use. A trade-off curve based on fulfilment of ecological and economic objectives in different scenarios discovers the competitive relation between human activities and nature.

Resource allocation for mitigating regional air pollution–related mortality: A summertime case study for five cities in the United States

PubMed Central

Liao, Kuo-Jen; Hou, Xiangting; Strickland, Matthew J.

2016-01-01

ABSTRACT An important issue of regional air quality management is to allocate air quality management funds to maximize environmental and human health benefits. In this study, we use an innovative approach to tackle this air quality management issue. We develop an innovative resource allocation model that allows identification of air pollutant emission control strategies that maximize mortality avoidances subject to a resource constraint. We first present the development of the resource allocation model and then a case study to show how the model can be used to identify resource allocation strategies that maximize mortality avoidances for top five Metropolitan Statistical Areas (MSAs) (i.e., New York, Los Angeles, Chicago, Dallas-Fort Worth, and Philadelphia) in the continental United States collectively. Given budget constraints in the U.S. Environmental Protection Agency’s (EPA) Clean Air Act assessment, the results of the case study suggest that controls of sulfur dioxide (SO2) and primary carbon (PC) emissions from EPA Regions 2, 3, 5, 6, and 9 would have significant health benefits for the five selected cities collectively. Around 30,800 air pollution–related mortalities could be avoided during the selected 2-week summertime episode for the five cities collectively if the budget could be allocated based on the results of the resource allocation model. Although only five U.S. cities during a 2-week episode are considered in the case study, the resource allocation model can be used by decision-makers to plan air pollution mitigation strategies to achieve the most significant health benefits for other seasons and more cities over a region or the continental U.S.Implications: Effective allocations of air quality management resources are challenging and complicated, and it is desired to have a tool that can help decision-makers better allocate the funds to maximize health benefits of air pollution mitigation. An innovative resource allocation model developed in this study can help decision-makers identify the best resource allocation strategies for multiple cities collectively. The results of a case study suggest that controls of primary carbon and sulfur dioxides emissions would achieve the most significant health benefits for five selected cities collectively. PMID:27441782

A Model-Data Intercomparison of Carbon Fluxes, Pools, and LAI in the Community Land Model (CLM) and Alternative Carbon Allocation Schemes

NASA Astrophysics Data System (ADS)

Montane, F.; Fox, A. M.; Arellano, A. F.; Alexander, M. R.; Moore, D. J.

2016-12-01

Carbon (C) allocation to different plant tissues (leaves, stem and roots) remains a central challenge for understanding the global C cycle, as it determines C residence time. We used a diverse set of observations (AmeriFlux eddy covariance towers, biomass estimates from tree-ring data, and Leaf Area Index measurements) to compare C fluxes, pools, and Leaf Area Index (LAI) data with the Community Land Model (CLM). We ran CLM for seven temperate forests in North America (including evergreen and deciduous sites) between 1980 and 2013 using different C allocation schemes: i) standard C allocation scheme in CLM, which allocates C to the stem and leaves as a dynamic function of annual net primary productivity (NPP); ii) two fixed C allocation schemes, one representative of evergreen and the other one of deciduous forests, based on Luyssaert et al. 2007; iii) an alternative C allocation scheme, which allocated C to stem and leaves, and to stem and coarse roots, as a dynamic function of annual NPP, based on Litton et al. 2007. At our sites CLM usually overestimated gross primary production and ecosystem respiration, and underestimated net ecosystem exchange. Initial aboveground biomass in 1980 was largely overestimated for deciduous forests, whereas aboveground biomass accumulation between 1980 and 2011 was highly underestimated for both evergreen and deciduous sites due to the lower turnover rate in the sites than the one used in the model. CLM overestimated LAI in both evergreen and deciduous sites because the Leaf C-LAI relationship in the model did not match the observed Leaf C-LAI relationship in our sites. Although the different C allocation schemes gave similar results for aggregated C fluxes, they translated to important differences in long-term aboveground biomass accumulation and aboveground NPP. For deciduous forests, one of the alternative C allocation schemes used (iii) gave more realistic stem C/leaf C ratios, and highly reduced the overestimation of initial aboveground biomass, and accumulated aboveground NPP for deciduous forests by CLM. Our results would suggest using different C allocation schemes for evergreen and deciduous forests. It is crucial to improve CLM in the near future to minimize data-model mismatches, and to address some of the current model structural errors and parameter uncertainties.

CLUSTERING SOUTH AFRICAN HOUSEHOLDS BASED ON THEIR ASSET STATUS USING LATENT VARIABLE MODELS

PubMed Central

McParland, Damien; Gormley, Isobel Claire; McCormick, Tyler H.; Clark, Samuel J.; Kabudula, Chodziwadziwa Whiteson; Collinson, Mark A.

2014-01-01

The Agincourt Health and Demographic Surveillance System has since 2001 conducted a biannual household asset survey in order to quantify household socio-economic status (SES) in a rural population living in northeast South Africa. The survey contains binary, ordinal and nominal items. In the absence of income or expenditure data, the SES landscape in the study population is explored and described by clustering the households into homogeneous groups based on their asset status. A model-based approach to clustering the Agincourt households, based on latent variable models, is proposed. In the case of modeling binary or ordinal items, item response theory models are employed. For nominal survey items, a factor analysis model, similar in nature to a multinomial probit model, is used. Both model types have an underlying latent variable structure—this similarity is exploited and the models are combined to produce a hybrid model capable of handling mixed data types. Further, a mixture of the hybrid models is considered to provide clustering capabilities within the context of mixed binary, ordinal and nominal response data. The proposed model is termed a mixture of factor analyzers for mixed data (MFA-MD). The MFA-MD model is applied to the survey data to cluster the Agincourt households into homogeneous groups. The model is estimated within the Bayesian paradigm, using a Markov chain Monte Carlo algorithm. Intuitive groupings result, providing insight to the different socio-economic strata within the Agincourt region. PMID:25485026

The Lunar Mapping and Modeling Project

NASA Technical Reports Server (NTRS)

Noble, Sarah K.; French, R. A.; Nall, M. E.; Muery, K. G.

2009-01-01

The Lunar Mapping and Modeling Project (LMMP) has been created to manage the development of a suite of lunar mapping and modeling products that support the Constellation Program (CxP) and other lunar exploration activities, including the planning, design, development, test and operations associated with lunar sortie missions, crewed and robotic operations on the surface, and the establishment of a lunar outpost. The information provided through LMMP will assist CxP in: planning tasks in the areas of landing site evaluation and selection, design and placement of landers and other stationary assets, design of rovers and other mobile assets, developing terrain-relative navigation (TRN) capabilities, and assessment and planning of science traverses.

Performance Evaluation Model for Application Layer Firewalls.

PubMed

Xuan, Shichang; Yang, Wu; Dong, Hui; Zhang, Jiangchuan

2016-01-01

Application layer firewalls protect the trusted area network against information security risks. However, firewall performance may affect user experience. Therefore, performance analysis plays a significant role in the evaluation of application layer firewalls. This paper presents an analytic model of the application layer firewall, based on a system analysis to evaluate the capability of the firewall. In order to enable users to improve the performance of the application layer firewall with limited resources, resource allocation was evaluated to obtain the optimal resource allocation scheme in terms of throughput, delay, and packet loss rate. The proposed model employs the Erlangian queuing model to analyze the performance parameters of the system with regard to the three layers (network, transport, and application layers). Then, the analysis results of all the layers are combined to obtain the overall system performance indicators. A discrete event simulation method was used to evaluate the proposed model. Finally, limited service desk resources were allocated to obtain the values of the performance indicators under different resource allocation scenarios in order to determine the optimal allocation scheme. Under limited resource allocation, this scheme enables users to maximize the performance of the application layer firewall.

An improved risk-explicit interval linear programming model for pollution load allocation for watershed management.

PubMed

Xia, Bisheng; Qian, Xin; Yao, Hong

2017-11-01

Although the risk-explicit interval linear programming (REILP) model has solved the problem of having interval solutions, it has an equity problem, which can lead to unbalanced allocation between different decision variables. Therefore, an improved REILP model is proposed. This model adds an equity objective function and three constraint conditions to overcome this equity problem. In this case, pollution reduction is in proportion to pollutant load, which supports balanced development between different regional economies. The model is used to solve the problem of pollution load allocation in a small transboundary watershed. Compared with the REILP original model result, our model achieves equity between the upstream and downstream pollutant loads; it also overcomes the problem of greatest pollution reduction, where sources are nearest to the control section. The model provides a better solution to the problem of pollution load allocation than previous versions.

S4HARA: System for HIV/AIDS resource allocation.

PubMed

Lasry, Arielle; Carter, Michael W; Zaric, Gregory S

2008-03-26

HIV/AIDS resource allocation decisions are influenced by political, social, ethical and other factors that are difficult to quantify. Consequently, quantitative models of HIV/AIDS resource allocation have had limited impact on actual spending decisions. We propose a decision-support System for HIV/AIDS Resource Allocation (S4HARA) that takes into consideration both principles of efficient resource allocation and the role of non-quantifiable influences on the decision-making process for resource allocation. S4HARA is a four-step spreadsheet-based model. The first step serves to identify the factors currently influencing HIV/AIDS allocation decisions. The second step consists of prioritizing HIV/AIDS interventions. The third step involves allocating the budget to the HIV/AIDS interventions using a rational approach. Decision-makers can select from several rational models of resource allocation depending on availability of data and level of complexity. The last step combines the results of the first and third steps to highlight the influencing factors that act as barriers or facilitators to the results suggested by the rational resource allocation approach. Actionable recommendations are then made to improve the allocation. We illustrate S4HARA in the context of a primary healthcare clinic in South Africa. The clinic offers six types of HIV/AIDS interventions and spends US$750,000 annually on these programs. Current allocation decisions are influenced by donors, NGOs and the government as well as by ethical and religious factors. Without additional funding, an optimal allocation of the total budget suggests that the portion allotted to condom distribution be increased from 1% to 15% and the portion allotted to prevention and treatment of opportunistic infections be increased from 43% to 71%, while allocation to other interventions should decrease. Condom uptake at the clinic should be increased by changing the condom distribution policy from a pull system to a push system. NGOs and donors promoting antiretroviral programs at the clinic should be sensitized to the results of the model and urged to invest in wellness programs aimed at the prevention and treatment of opportunistic infections. S4HARA differentiates itself from other decision support tools by providing rational HIV/AIDS resource allocation capabilities as well as consideration of the realities facing authorities in their decision-making process.

42 CFR § 510.325 - Allocation of payments for services that straddle the episode.

Code of Federal Regulations, 2010 CFR

2016-10-01

..., DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) HEALTH CARE INFRASTRUCTURE AND MODEL PROGRAMS COMPREHENSIVE CARE FOR JOINT REPLACEMENT MODEL Pricing and Payment § 510.325 Allocation of payments for services... 42 Public Health 5 2016-10-01 2016-10-01 false Allocation of payments for services that straddle...

42 CFR § 510.325 - Allocation of payments for services that straddle the episode.

Code of Federal Regulations, 2010 CFR

2017-10-01

..., DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) HEALTH CARE INFRASTRUCTURE AND MODEL PROGRAMS COMPREHENSIVE CARE FOR JOINT REPLACEMENT MODEL Pricing and Payment § 510.325 Allocation of payments for services... 42 Public Health 5 2017-10-01 2017-10-01 false Allocation of payments for services that straddle...

Drought Water Right Curtailment

NASA Astrophysics Data System (ADS)

Walker, W.; Tweet, A.; Magnuson-Skeels, B.; Whittington, C.; Arnold, B.; Lund, J. R.

2016-12-01

California's water rights system allocates water based on priority, where lower priority, "junior" rights are curtailed first in a drought. The Drought Water Rights Allocation Tool (DWRAT) was developed to integrate water right allocation models with legal objectives to suggest water rights curtailments during drought. DWRAT incorporates water right use and priorities with a flow-forecasting model to mathematically represent water law and hydrology and suggest water allocations among water rights holders. DWRAT is compiled within an Excel workbook, with an interface and an open-source solver. By implementing California water rights law as an algorithm, DWRAT provides a precise and transparent framework for the complicated and often controversial technical aspects of curtailing water rights use during drought. DWRAT models have been developed for use in the Eel, Russian, and Sacramento river basins. In this study, an initial DWRAT model has been developed for the San Joaquin watershed, which incorporates all water rights holders in the basin and reference gage flows for major tributaries. The San Joaquin DWRAT can assess water allocation reliability by determining probability of rights holders' curtailment for a range of hydrologic conditions. Forecasted flow values can be input to the model to provide decision makers with the ability to make curtailment and water supply strategy decisions. Environmental flow allocations will be further integrated into the model to protect and improve ecosystem water reliability.

The Effects of State Medicaid Policies on the Dynamic Savings Patterns and Medicaid Enrollment of the Elderly

ERIC Educational Resources Information Center

Gardner, Lara; Gilleskie, Donna B.

2012-01-01

Medicaid policies that may affect long-term care decisions vary across states and time. Using data from the 1993, 1995, 1998, and 2000 waves of the Assets and Health Dynamics Among the Oldest Old Survey, we estimate a dynamic empirical model of health insurance coverage, long-term care arrangement, asset and gift behavior, and health transitions…

Perspective: adopting an asset bundles model to support and advance minority students' careers in academic medicine and the scientific pipeline.

PubMed

Johnson, Japera; Bozeman, Barry

2012-11-01

The authors contend that increasing diversity in academic medicine, science, technology, engineering, and mathematics requires the adoption of a systematic approach to retain minority high school and college students as they navigate the scientific pipeline. Such an approach should focus on the interrelated and multilayered challenges that these students face. The authors fuse an alternative conceptualization of the scientific and technical human capital theoretical framework and the theory of social identity contingencies to offer a conceptual model for targeting the critical areas in which minority students may need additional support to continue toward careers in science. Their proposed asset bundles model is grounded in the central premise that making greater progress in recruiting and retaining minorities likely requires institutions to respond simultaneously to various social cues that signal devaluation of certain identities (e.g., gender, race, socioeconomic status). The authors define "asset bundles" as the specific sets of abilities and resources individuals develop that help them succeed in educational and professional tasks, including but not limited to science and research. The model consists of five asset bundles, each of which is supported in the research literature as a factor relevant to educational achievement and, the authors contend, may lead to improved and sustained diversity: educational endowments, science socialization, network development, family expectations, and material resources. Using this framework, they suggest possible ways of thinking about the task of achieving diversity as well as guideposts for next steps. Finally, they discuss the feasibility of implementing such an approach.

Perspective: Adopting an Asset Bundle Model to Support and Advance Minority Students’ Careers in Academic Medicine and the Scientific Pipeline

PubMed Central

Johnson, Japera; Bozeman, Barry

2012-01-01

The authors contend that increasing diversity in the scientific pipeline (e.g., academic medicine, science, technology, engineering and mathematics) requires a systematic approach to retain minority high school and college students. Such an approach should focus on the interrelated and multilayered challenges that these students face. The authors fuse an alternative conceptualization of the scientific and technical human capital theoretical framework and the theory of social identity contingencies to offer a conceptual model for targeting the critical areas in which minority students may need additional support in order to continue toward a career in science. Their proposed asset bundles model is grounded in the central premise that making greater progress in recruiting and retaining minorities likely requires institutions to respond simultaneously to various social cues that signal devaluation of certain identities (e.g., gender, race, or socioeconomic status). The authors define “asset bundles” as the specific sets of abilities and resources individuals develop that help them succeed in educational and professional tasks, including but not limited to science and research. The model consists of five asset bundles, each of which is supported in the research literature as a factor relevant to educational achievement and, the authors contend, may lead to improved and sustained diversity: educational endowments, science socialization, network development, family expectations, and material resources. Using this framework, they suggest possible ways of thinking about the task of achieving diversity as well as guideposts for next steps. Finally, they discuss the feasibility of implementing such an approach. PMID:23018329

Limited static and dynamic delivering capacity allocations in scale-free networks

NASA Astrophysics Data System (ADS)

Haddou, N. Ben; Ez-Zahraouy, H.; Rachadi, A.

In traffic networks, it is quite important to assign proper packet delivering capacities to the routers with minimum cost. In this respect, many allocation models based on static and dynamic properties have been proposed. In this paper, we are interested in the impact of limiting the packet delivering capacities already allocated to the routers; each node is assigned a packet delivering capacity limited by the maximal capacity Cmax of the routers. To study the limitation effect, we use two basic delivering capacity allocation models; static delivering capacity allocation (SDCA) and dynamic delivering capacity allocation (DDCA). In the SDCA, the capacity allocated is proportional to the node degree, and for DDCA, it is proportional to its queue length. We have studied and compared the limitation of both allocation models under the shortest path (SP) routing strategy as well as the efficient path (EP) routing protocol. In the SP case, we noted a similarity in the results; the network capacity increases with increasing Cmax. For the EP scheme, the network capacity stops increasing for relatively small packet delivering capability limit Cmax for both allocation strategies. However, it reaches high values under the limited DDCA before the saturation. We also find that in the DDCA case, the network capacity remains constant when the traffic information available to each router was updated after long period times τ.

End-of-life conversations and care: an asset-based model for community engagement.

PubMed

Matthiesen, Mary; Froggatt, Katherine; Owen, Elaine; Ashton, John R

2014-09-01

Public awareness work regarding palliative and end-of-life care is increasingly promoted within national strategies for palliative care. Different approaches to undertaking this work are being used, often based upon broader educational principles, but little is known about how to undertake such initiatives in a way that equally engages both the health and social care sector and the local communities. An asset-based community engagement approach has been developed that facilitates community-led awareness initiatives concerning end-of-life conversations and care by identifying and connecting existing skills and expertise. (1) To describe the processes and features of an asset-based community engagement approach that facilitates community-led awareness initiatives with a focus on end-of-life conversations and care; and (2) to identify key community-identified priorities for sustainable community engagement processes. An asset-based model of community engagement specific to end-of-life issues using a four-step process is described (getting started, coming together, action planning and implementation). The use of this approach, in two regional community engagement programmes, based across rural and urban communities in the northwest of England, is described. The assets identified in the facilitated community engagement process encompassed people's talents and skills, community groups and networks, government and non-government agencies, physical and economic assets and community values and stories. Five priority areas were addressed to ensure active community engagement work: information, outreach, education, leadership and sustainability. A facilitated, asset-based approach of community engagement for end-of-life conversations and care can catalyse community-led awareness initiatives. This occurs through the involvement of community and local health and social care organisations as co-creators of this change across multiple sectors in a sustainable way. This approach provides a framework for other communities seeking to engage with public awareness in end-of-life issues. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Space-weather assets developed by the French space-physics community

NASA Astrophysics Data System (ADS)

Rouillard, A. P.; Pinto, R. F.; Brun, A. S.; Briand, C.; Bourdarie, S.; Dudok De Wit, T.; Amari, T.; Blelly, P.-L.; Buchlin, E.; Chambodut, A.; Claret, A.; Corbard, T.; Génot, V.; Guennou, C.; Klein, K. L.; Koechlin, L.; Lavarra, M.; Lavraud, B.; Leblanc, F.; Lemorton, J.; Lilensten, J.; Lopez-Ariste, A.; Marchaudon, A.; Masson, S.; Pariat, E.; Reville, V.; Turc, L.; Vilmer, N.; Zucarello, F. P.

2016-12-01

We present a short review of space-weather tools and services developed and maintained by the French space-physics community. They include unique data from ground-based observatories, advanced numerical models, automated identification and tracking tools, a range of space instrumentation and interconnected virtual observatories. The aim of the article is to highlight some advances achieved in this field of research at the national level over the last decade and how certain assets could be combined to produce better space-weather tools exploitable by space-weather centres and customers worldwide. This review illustrates the wide range of expertise developed nationally but is not a systematic review of all assets developed in France.

Allocation model for air tanker initial attack in firefighting

Treesearch

Francis E. Greulich; William G. O' Regan

1975-01-01

Timely and appropriate use of air tankers in firefighting can bring high returns, but their misuse can be expensive when measured in operating and other costs. An allocation model has been developed for identifying superior strategies-for air tanker initial attack, and for choosing an optimum set of allocations among airbases. Data are presented for a representative...

Using Regression Analysis in Departmental Budget Allocations. IR Applications, Volume 24, November 1, 2009

ERIC Educational Resources Information Center

Luna, Andrew L.; Brennan, Kelly A.

2009-01-01

This study uses a regression model to determine if a significant difference exists between the actual budget allocation that an academic department received and the model's predicted budget allocation for that same department. Budget data from a Southeastern Master's/Comprehensive state university were used as the dependent variable, and the…

Resource Allocation Based on Evaluation of Research.

ERIC Educational Resources Information Center

Fransson, Rune

1985-01-01

At Sweden's Karolinska Institute, a resource allocation model for medical research in use since 1970 allows the research activity of the different departments to affect resource allocation direclty. (MSE)

The Predictive Influence of Youth Assets on Drinking and Driving Behaviors in Adolescence and Young Adulthood.

PubMed

Haegerich, Tamara M; Shults, Ruth A; Oman, Roy F; Vesely, Sara K

2016-06-01

Drinking and driving among adolescents and young adults remains a significant public health burden. Etiological research is needed to inform the development and selection of preventive interventions that might reduce alcohol-involved crashes and their tragic consequences. Youth assets-that is, skills, competencies, relationships, and opportunities-can help youth overcome challenges, successfully transition into adulthood, and reduce problem behavior. We examined the predictive influence of individual, relationship, and community assets on drinking and driving (DD) and riding with a drinking driver (RDD). We assessed prospective relationships through analysis of data from the Youth Assets Study, a community-based longitudinal study of socio-demographically diverse youth. Results from calculation of marginal models using a Generalized Estimating Equation approach revealed that parent and peer relationship and school connectedness assets reduced the likelihood of both drinking and driving and riding with a drinking driver approximately 1 year later. The most important and consistent asset that influenced DD and RDD over time was parental monitoring, highlighting the role of parental influence extending beyond the immediate teen driving context into young adulthood. Parenting-focused interventions could influence factors that place youth at risk for injury from DD to RDD, complementing other evidence-based strategies such as school-based instructional programs and zero tolerance Blood Alcohol Concentration laws for young and inexperienced drivers.

A mathematical modeling approach to resource allocation for railroad-highway crossing safety upgrades.

PubMed

Konur, Dinçer; Golias, Mihalis M; Darks, Brandon

2013-03-01

State Departments of Transportation (S-DOT's) periodically allocate budget for safety upgrades at railroad-highway crossings. Efficient resource allocation is crucial for reducing accidents at railroad-highway crossings and increasing railroad as well as highway transportation safety. While a specific method is not restricted to S-DOT's, sorting type of procedures are recommended by the Federal Railroad Administration (FRA), United States Department of Transportation for the resource allocation problem. In this study, a generic mathematical model is proposed for the resource allocation problem for railroad-highway crossing safety upgrades. The proposed approach is compared to sorting based methods for safety upgrades of public at-grade railroad-highway crossings in Tennessee. The comparison shows that the proposed mathematical modeling approach is more efficient than sorting methods in reducing accidents and severity. Copyright © 2012 Elsevier Ltd. All rights reserved.

RCRA Sustainable Materials Management Information

EPA Pesticide Factsheets

This asset includes a broad variety of documents, descriptive data, technical analyses and guidance materials relative to voluntary improvements in resource conservation, the beneficial use of sustainable materials and the management of non-hazardous wastes and materials. Included in this asset are participant information and outreach materials of various voluntary programs relating to better materials and waste management programs. An example is the WasteWise program and Sustainable Materials Management (SMM) Challenges, which help organizations and businesses apply sustainable materials management practices to reduce municipal and select industrial wastes. Also included in this asset are guidance materials to assist municipalities in recycling and reuse of municipal solid waste, including diverting materials to composting, and the use of conversion methods such as anaerobic digestion. Another component are the data necessary to compile reports on the characterization of municipal solid waste (including such waste streams as food waste, yard and wood waste, discarded electronics, and household non-hazardous waste), the recycled content of manufactured goods, and other analyses performed using such tools as the Waste Assessment Reduction Model (WARM).For industrial non-hazardous waste, this asset includes guidance and outreach materials on industrial materials recycling and waste minimization. Finally, this asset includes research analyses on sustainable materia

Self-harm in adolescence: protective health assets in the family, school and community.

PubMed

Klemera, Ellen; Brooks, Fiona M; Chester, Kayleigh L; Magnusson, Josefine; Spencer, Neil

2017-07-01

The aim of this paper was to examine if the multiple environments of the adolescent including family, peers, school and neighbourhood might function as protective health assets against self-harming behaviour during adolescence. The present study utilised data collected from 1608 respondents aged 15 years as part of the England WHO Health Behaviour in School-aged Children (HBSC) Study. Multilevel modelling was undertaken using the package MLwiN (version 2.33) to investigate the potential domains and dimensions of family life, school culture and environment, and neighbourhood factors that may operate as protective health assets. The results indicated that while peer support did not appear to operate as a protective health asset in the context of self-harm, key dimensions of adolescent/parent interaction and adolescent experience of the school culture and their neighbourhood were associated with reduced likelihood of self-harming behaviours during adolescence. The Findings highlight the significance of belonging and connectedness as important constituent elements of protective health assets for young people. Interventions that address the multiple environments of the young person, may offer an effective means to reduce the levels of self-harm.

Approximation methods of European option pricing in multiscale stochastic volatility model

NASA Astrophysics Data System (ADS)

Ni, Ying; Canhanga, Betuel; Malyarenko, Anatoliy; Silvestrov, Sergei

2017-01-01

In the classical Black-Scholes model for financial option pricing, the asset price follows a geometric Brownian motion with constant volatility. Empirical findings such as volatility smile/skew, fat-tailed asset return distributions have suggested that the constant volatility assumption might not be realistic. A general stochastic volatility model, e.g. Heston model, GARCH model and SABR volatility model, in which the variance/volatility itself follows typically a mean-reverting stochastic process, has shown to be superior in terms of capturing the empirical facts. However in order to capture more features of the volatility smile a two-factor, of double Heston type, stochastic volatility model is more useful as shown in Christoffersen, Heston and Jacobs [12]. We consider one modified form of such two-factor volatility models in which the volatility has multiscale mean-reversion rates. Our model contains two mean-reverting volatility processes with a fast and a slow reverting rate respectively. We consider the European option pricing problem under one type of the multiscale stochastic volatility model where the two volatility processes act as independent factors in the asset price process. The novelty in this paper is an approximating analytical solution using asymptotic expansion method which extends the authors earlier research in Canhanga et al. [5, 6]. In addition we propose a numerical approximating solution using Monte-Carlo simulation. For completeness and for comparison we also implement the semi-analytical solution by Chiarella and Ziveyi [11] using method of characteristics, Fourier and bivariate Laplace transforms.

New payment model for rural health services in Mongolia.

PubMed

Hindle, Don; Khulan, Buyankhishig

2006-01-01

This article describes experiences in Mongolia in designing and implementing a new method of payment for rural health services. The new method involves using a formula that allocates 65% of available funding on the basis of risk-adjusted capitation, 20% on the basis of asset costs, 10% on the basis of variations in distance-related costs, and 5% on the basis of satisfactory attainment of quality of care targets. Rural populations have inferior health services in most countries, whether rich or poor. Their situation has deteriorated in most transition economies, including Mongolia since 1990. One factor has been the use of inappropriate methods of payment of care providers. Changes in payment methods have therefore been made in most transition economies with mixed success. One factor has been a tendency to over-simplify, for example, to introduce capitation without risk adjustment or to make per case payments that ignored casemix. In 2002, the Mongolian government decided that its crude funding formula for rural health services should be replaced. It had two main components. The first was payment of an annual grant by the local government from its general revenue on the basis of estimated service population, number of inpatient beds, and number of clinical staff. The second was an output-based payment per inpatient day from the National Health Insurance Fund. The model was administratively complicated, and widely believed to be unfair. The two funding agencies were giving conflicting types of financial incentives. Most important, the funding methods gave few incentives or rewards for service improvement. In some respects, the incentives were perverse (such as the encouragement of hospital admission by the National Health Insurance Fund). A new funding model was developed through statistical analysis of data from routine service reports and opinions questionnaires. As noted above, there are components relating to per capita needs for care, capital assets, distance, and quality of care. The risk-adjusted capitation component determines needs classes by use of age, gender, and family income. The model was accepted by all concerned parties, and steps are now being taken to implement it under transitional arrangements. Many of the data used to parameterize the model are inaccurate and will need to be updated in the near future. However, the model is inherently valid, and procedures have been set in place that will ensure accuracy is improved on a continuing basis. An important reason why the government strongly supported implementation was its commitment to implement output-based budgeting across all government sectors. The new model provided a convenient way of applying output-based budgeting to one major component of the health sector.

Assessment of the trophic status of four coastal lagoons and one estuarine delta, eastern Brazil.

PubMed

Cotovicz Junior, Luiz Carlos; Brandini, Nilva; Knoppers, Bastiaan Adriaan; Mizerkowski, Byanka Damian; Sterza, José Mauro; Ovalle, Alvaro Ramon Coelho; Medeiros, Paulo Ricardo Petter

2013-04-01

Anthropogenic eutrophication of aquatic ecosystems continues to be one of the major environmental issues worldwide and also of Brazil. Over the last five decades, several approaches have been proposed to discern the trophic state and the natural and cultural processes involved in eutrophication, including the multi-parameter Assessment of Estuarine Trophic Status (ASSETS) index model. This study applies ASSETS to four Brazilian lagoons (Mundaú, Manguaba, Guarapina, and Piratininga) and one estuarine delta (Paraíba do Sul River), set along the eastern Brazilian coast. The model combines three indices based on the pressure-state-response (PSR) approach to rank the trophic status and forecast the potential eutrophication of a system, to which a final ASSETS grade is established. The lagoons were classified as being eutrophic and highly susceptible to eutrophication, due primarily to their longer residence times but also their high nutrient input index. ASSETS classified the estuary of the Paraíba do Sul river with a low to moderate trophic state (e.g., largely mesotrophic) and low susceptibility to eutrophication. Its nutrient input index was high, but the natural high dilution and flushing potential driven by river flow mitigated the susceptibility to eutrophication. Eutrophication forecasting provided more favorable trends for the Mundaú and Manguaba lagoons and the Paraíba do Sul estuary, in view of the larger investments in wastewater treatment and remediation plans. The final ASSETS ranking system established the lagoons of Mundaú as "moderate," Manguaba as "bad," Guarapina as "poor," and Piratininga as "bad," whereas the Paraíba do Sul River Estuary was "good."

Simulating groundwater-induced sewer flooding

NASA Astrophysics Data System (ADS)

Mijic, A.; Mansour, M.; Stanic, M.; Jackson, C. R.

2016-12-01

During the last decade, Chalk catchments of southern England experienced severe groundwater flooding. High groundwater levels resulted in the groundwater ingress into the sewer network that led to restricted toilet use and the overflow of diluted, but untreated sewage to road surfaces, rivers and water courses. In response to these events the water and sewerage company Thames Water Utilities Ltd (TWUL) had to allocate significant funds to mitigate the impacts. It was estimated that approximately £19m was spent responding to the extreme wet weather of 2013-14, along with the use of a fleet of over 100 tankers. However, the magnitude of the event was so large that these efforts could not stop the discharge of sewage to the environment. This work presents the analysis of the risk of groundwater-induced sewer flooding within the Chalk catchment of the River Lambourn, Berkshire. A spatially distributed groundwater model was used to assess historic groundwater flood risk and the potential impacts of changes in future climate. We then linked this model to an urban groundwater model to enable us to simulate groundwater-sewer interaction in detail. The modelling setup was used to identify relationships between infiltration into sewers and groundwater levels at specific points on TWUL's sewer network, and to estimate historic and future groundwater flood risk, and how this varies across the catchment. The study showed the significance of understanding the impact of groundwater on the urban water systems, and producing information that can inform a water company's response to groundwater flood risk, their decision making process and their asset management planning. However, the knowledge gained through integrated modelling of groundwater-sewer interactions has highlighted limitations of existing approaches for the simulation of these coupled systems. We conclude this work with number of recommendations about how to improve such hydrological/sewer analysis.

Options for Staging Orbits in Cis-Lunar Space

NASA Technical Reports Server (NTRS)

Whitley, Ryan; Martinez, Roland

2015-01-01

NASA has been studying options to conduct missions beyond Low Earth Orbit, but within the Earth-Moon system, in preparation for deep space exploration including human missions to Mars. Referred to as the Proving Ground, this arena of exploration activities will enable the development of human spaceflight systems and operations to satisfy future exploration objectives beyond the cis-lunar environment. One option being considered includes the deployment of a habitable element or elements, which could be used as a central location for aggregation of supplies and resources for human missions in cis-lunar space and beyond. Characterizing candidate orbit locations for this asset and the impacts on system design and mission operations is important in the overall assessment of the options being considered. The orbits described in this paper were initially selected by taking advantage of previous studies conducted by NASA and the work of other authors. In this paper orbits are assessed for their relative attractiveness based on various factors. First, a set of constraints related to the capability of the combined Orion and SLS system to deliver humans and cargo to and from the orbit are evaluated. Second, the ability to support potential lunar surface activities is considered. Finally, deployed assets intended to spend multiple years in the Proving Ground would ideally require minimal station keeping costs to reduce the mass budget allocated to this function. Additional mission design drivers include potential for uninterrupted communication with deployed assets, thermal, communications, and other operational implications. The results of the characterization and evaluation of the selected orbits indicate a Near Rectilinear Orbit (NRO) is an attractive candidate as an aggregation point or staging location for operations. In this paper, the NRO is further described in terms which balance a number of key attributes that favor a variety of mission classes to meet multiple, sometimes competing, constraints.

Options for Staging Orbits in Cis-Lunar Space

NASA Technical Reports Server (NTRS)

Martinez, Roland; Whitley, Ryan

2016-01-01

NASA has been studying options to conduct missions beyond Low Earth Orbit, but within the Earth-Moon system, in preparation for deep space exploration including human missions to Mars. Referred to as the Proving Ground, this arena of exploration activities will enable the development of human spaceflight systems and operations to satisfy future exploration objectives beyond the cis-lunar environment. One option being considered includes the deployment of a habitable element or elements, which could be used as a central location for aggregation of supplies and resources for human missions in cis-lunar space and beyond. Characterizing candidate orbit locations for this asset and the impacts on system design and mission operations is important in the overall assessment of the options being considered. The orbits described in this paper were initially selected by taking advantage of previous studies conducted by NASA and the work of other authors. In this paper orbits are assessed for their relative attractiveness based on various factors. A set of constraints related to the capability of the combined Orion and SLS system to deliver humans and cargo to and from the orbit are evaluated. Deployed assets intended to spend multiple years in the Proving Ground would ideally require minimal station keeping costs to reduce the mass budget allocated to this function. Additional mission design drivers include eclipse frequency, potential for uninterrupted communication with deployed assets, thermal, attitude control, communications, and other operational implications. Also the ability to support potential lunar surface activities and excursion missions beyond Earth-Moon space is considered. The results of the characterization and evaluation of the selected orbits indicate a Near Rectilinear Orbit (NRO) is an attractive candidate as an aggregation point or staging location for operations. In this paper, the NRO is further described in terms which balance a number of key attributes that favor a variety of mission classes to meet multiple, sometimes competing, constraints.

Characterizing Debris in the Infrared with UKIRT

NASA Technical Reports Server (NTRS)

Lederer, S. M.; Jah, M.; Kendrick, R.; Buckalew, B.; Frith, J. M.; Cowardin, H. M.; Bold, M.

2015-01-01

The United Kingdom Infrared Telescope (UKIRT) has been a major asset for the NASA Orbital Debris Program Office (OPDO) since March, 2014. With the UKIRT current contract coming to an end at the finish of FY15, there is a golden opportunity for this community to fund and gain access to UKIRT as an SSA asset through HCAR (Hawaii Center for Astronautics Research). UKIRT is the only telescope on Mauna Kea dedicated to infrared bands. Spectral coverage ranges from the near- (0.8-5µm) to the mid- to far-infrared (8-25 micrometer) regime. To date, debris observations have been collected with three instruments. Near-Infrared photometry with ZYJHK filters has been obtained with the Wide Field Camera (WFCam). Near-Infrared (1-2.5 micrometer) spectra are the focus of observations taken with the UKIRT Imager SpecTrometer (UIST). And Michelle (Mid Infrared escCHELLE) is a thermal imager-spectrometer designed for the 8-25 micrometer regime. With 35% of the telescope time allocated to ODPO, a very steady stream of data has been collected on a variety of debris targets using all the above instrumentation. Initial results from WFCam were discussed at AMOS and NISOI including analyses on IDCSPs, the MSG cooler and baffle covers. The cylindrical HS-376 buses were the focus of recent WFCam runs. Summary analyses of these works will be presented. Focus will be given to initial results of the data collected with the Cassegrain instruments, UIST and Michelle. UIST spectra were collected in September 2014, March and April 2015. Targets included a suite of HS-376 buses, well suited to investigate the signatures of blue solar panels; several dead satellites with solar array wings; Titan 3C transtage debris; the CTA Array cover, and others. In addition, Michelle mid-IR photometry was collected on a select few objects during the April 2015 run. Using WFCam, UIST and Michelle the Lockheed Martin has been observing operational satellites in the near- mid and far-infrared regime in an attempt to understand the health and status of several satellites that are based on the Lockheed Martin A2100 bus. The potential insights into debris characterization using this range of assets, and early analyses will be discussed, as well as the opportunities possible for utilizing UKIRT as an SSA asset.

HIV epidemic control-a model for optimal allocation of prevention and treatment resources.

PubMed

Alistar, Sabina S; Long, Elisa F; Brandeau, Margaret L; Beck, Eduard J

2014-06-01

With 33 million people living with human immunodeficiency virus (HIV) worldwide and 2.7 million new infections occurring annually, additional HIV prevention and treatment efforts are urgently needed. However, available resources for HIV control are limited and must be used efficiently to minimize the future spread of the epidemic. We develop a model to determine the appropriate resource allocation between expanded HIV prevention and treatment services. We create an epidemic model that incorporates multiple key populations with different transmission modes, as well as production functions that relate investment in prevention and treatment programs to changes in transmission and treatment rates. The goal is to allocate resources to minimize R 0, the reproductive rate of infection. We first develop a single-population model and determine the optimal resource allocation between HIV prevention and treatment. We extend the analysis to multiple independent populations, with resource allocation among interventions and populations. We then include the effects of HIV transmission between key populations. We apply our model to examine HIV epidemic control in two different settings, Uganda and Russia. As part of these applications, we develop a novel approach for estimating empirical HIV program production functions. Our study provides insights into the important question of resource allocation for a country's optimal response to its HIV epidemic and provides a practical approach for decision makers. Better decisions about allocating limited HIV resources can improve response to the epidemic and increase access to HIV prevention and treatment services for millions of people worldwide.

A maximum (non-extensive) entropy approach to equity options bid-ask spread

NASA Astrophysics Data System (ADS)

Tapiero, Oren J.

2013-07-01

The cross-section of options bid-ask spreads with their strikes are modelled by maximising the Kaniadakis entropy. A theoretical model results with the bid-ask spread depending explicitly on the implied volatility; the probability of expiring at-the-money and an asymmetric information parameter (κ). Considering AIG as a test case for the period between January 2006 and October 2008, we find that information flows uniquely from the trading activity in the underlying asset to its derivatives. Suggesting that κ is possibly an option implied measure of the current state of trading liquidity in the underlying asset.

On portfolio risk diversification

NASA Astrophysics Data System (ADS)

Takada, Hellinton H.; Stern, Julio M.

2017-06-01

The first portfolio risk diversification strategy was put into practice by the All Weather fund in 1996. The idea of risk diversification is related to the risk contribution of each available asset class or investment factor to the total portfolio risk. The maximum diversification or the risk parity allocation is achieved when the set of risk contributions is given by a uniform distribution. Meucci (2009) introduced the maximization of the Rényi entropy as part of a leverage constrained optimization problem to achieve such diversified risk contributions when dealing with uncorrelated investment factors. A generalization of the risk parity is the risk budgeting when there is a prior for the distribution of the risk contributions. Our contribution is the generalization of the existent optimization frameworks to be able to solve the risk budgeting problem. In addition, our framework does not possess any leverage constraint.