Science.gov

Sample records for spot market prices

  1. May market review. [Spot market prices for uranium (1993)

    SciTech Connect

    Not Available

    1993-06-01

    Seven uranium transactions totalling nearly three million pounds equivalent U3O8 were reported during May, but only two, totalling less than 200 thousand pounds equivalent U3O8, involved concentrates. As no discretionary buying occurred during the month, and as near-term supply and demand were in relative balance, prices were steady, while both buyers and sellers appeared to be awaiting some new market development to signal the direction of future spot-market prices. The May 31, 1993, Exchange Value and the Restricted American market Penalty (RAMP) for concentrates were both unchanged at $7.10, and $2.95 per pound U3O8, respectively. NUEXCO's judgement was that transactions for significant quantities of uranium concentrates that were both deliverable in and intended for consumption in the USA could have been concluded on May 31 at $10.05 per pound U3O8. Two near-term concentrate transactions were reported in which one US utility purchased less than 200 thousand pounds equivalent U3O8 from two separate sellers. These sales occurred at price levels at or near the May 31 Exchange Value plus RAMP. No long-term uranium transactions were reported during May. Consequently, the UF6 Value decreased $0.20 to $24.30 per kgU as UF6, reflecting some weakening of the UF6 market outside the USA.

  2. Spot market activity remains weak as prices continue to fall

    SciTech Connect

    1996-12-01

    A summary of financial data for the uranium spot market in November 1996 is provided. Price ranges for the restricted and unrestricted markets, conversion, and separative work are listed, and total market volume and new contracts are noted. Transactions made are briefly described. Deals made and pending in the spot concentrates, medium and long-term, conversion, and markets are listed for U.S. and non-U.S. buyers. Spot market activity increased in November with just over 1.0 million lbs of U3O8 equivalent being transacted compared to October`s total of 530,000 lbs of U3O8 equivalent. The restricted uranium spot market price range slipped from $15.50-$15.70/lb U3O8 last month to $14.85/lb - $15.25/lb U3O8 this month. The unrestricted uranium spot market price range also slipped to $14.85/lb - $15.00/lb this month from $15.00/lb - $15.45/lb in October. Spot prices for conversion and separative work units remained at their October levels.

  3. March market review. [Spot market prices for uranium (1993)

    SciTech Connect

    Not Available

    1993-04-01

    The spot market price for uranium in unrestricted markets weakened further during March, and at month end, the NUEXCO Exchange Value had fallen $0.15, to $7.45 per pound U3O8. The Restricted American Market Penalty (RAMP) for concentrates increased $0.15, to $2.55 per pound U3O8. Ample UF6 supplies and limited demand led to a $0.50 decrease in the UF6 Value, to $25.00 per kgU as UF6, while the RAMP for UF6 increased $0.75, to $5.25 per kgU. Nine near-term uranium transactions were reported, totalling almost 3.3 million pounds equivalent U3O8. This is the largest monthly spot market volume since October 1992, and is double the volume reported in January and February. The March 31 Conversion Value was $4.25 per kgU as UF6. Beginning with the March 31 Value, NUEXCO now reports its Conversion Value in US dollars per kilogram of uranium (US$/kgU), reflecting current industry practice. The March loan market was inactive with no transactions reported. The Loan Rate remained unchanged at 3.0 percent per annum. Low demand and increased competition among sellers led to a one-dollar decrease in the SWU Value, to $65 per SWU, and the RAMP for SWU declined one dollar, to $9 per SWU.

  4. April market review. [Spot market prices for uranium (1993)

    SciTech Connect

    Not Available

    1993-05-01

    The spot market price for uranium outside the USA weakened further during April, and at month end, the NUEXCO Exchange Value had fallen $0.35, to $7.10 per pound U3O8. This is the lowest Exchange Value observed in nearly twenty years, comparable to Values recorded during the low price levels of the early 1970s. The Restricted American Market Penalty (RAMP) for concentrates increased $0.40, to $2.95 per pound U3O8. Transactions for significant quantities of uranium concentrates that are both deliverable in and intended for consumption in the USA could have been concluded on April 30 at $10.05 per pound U3O8, up $0.05 from the sum of corresponding March Values. Four near-term concentrates transactions were reported, totalling nearly 1.5 million pounds equivalent U3O8. One long-term sale was reported. The UF6 Value also declined, as increased competition among sellers led to a $0.50 decrease, to $24.50 per kgU as UF6. However, the RAMP for UF6 increased $0.65, to $5.90 per kgU as UF6, reflecting an effective US market level of $30.40 per kgU. Two near term transactions were reported totalling approximately 1.1 million pounds equivalent U3O8. In total, eight uranium transactions totalling 28 million pounds equivalent U3O8 were reported, which is about average for April market activity.

  5. Modeling spot markets for electricity and pricing electricity derivatives

    NASA Astrophysics Data System (ADS)

    Ning, Yumei

    Spot prices for electricity have been very volatile with dramatic price spikes occurring in restructured market. The task of forecasting electricity prices and managing price risk presents a new challenge for market players. The objectives of this dissertation are: (1) to develop a stochastic model of price behavior and predict price spikes; (2) to examine the effect of weather forecasts on forecasted prices; (3) to price electricity options and value generation capacity. The volatile behavior of prices can be represented by a stochastic regime-switching model. In the model, the means of the high-price and low-price regimes and the probabilities of switching from one regime to the other are specified as functions of daily peak load. The probability of switching to the high-price regime is positively related to load, but is still not high enough at the highest loads to predict price spikes accurately. An application of this model shows how the structure of the Pennsylvania-New Jersey-Maryland market changed when market-based offers were allowed, resulting in higher price spikes. An ARIMA model including temperature, seasonal, and weekly effects is estimated to forecast daily peak load. Forecasts of load under different assumptions about weather patterns are used to predict changes of price behavior given the regime-switching model of prices. Results show that the range of temperature forecasts from a normal summer to an extremely warm summer cause relatively small increases in temperature (+1.5%) and load (+3.0%). In contrast, the increases in prices are large (+20%). The conclusion is that the seasonal outlook forecasts provided by NOAA are potentially valuable for predicting prices in electricity markets. The traditional option models, based on Geometric Brownian Motion are not appropriate for electricity prices. An option model using the regime-switching framework is developed to value a European call option. The model includes volatility risk and allows changes

  6. Intraday price dynamics in spot and derivatives markets

    NASA Astrophysics Data System (ADS)

    Kim, Jun Sik; Ryu, Doojin

    2014-01-01

    This study examines intraday relationships among the spot index, index futures, and the implied volatility index based on the VAR(1)-asymmetric BEKK-MGARCH model. Analysis of a high-frequency dataset from the Korean financial market confirms that there is a strong intraday market linkage between the spot index, KOSPI200 futures, and VKOSPI and that asymmetric volatility behaviour is clearly present in the Korean market. The empirical results indicate that the futures return shock affects the spot market more severely than the spot return shock affects the futures market, though there is a bi-directional causal relationship between the spot and futures markets. Our results, based on a high-quality intraday dataset, satisfy both the positive risk-return relationship and asymmetric volatility effect, which are not reconciled in the frameworks of previous studies.

  7. Forward and Spot Prices in Multi-Settlement Wholesale Electricity Markets

    NASA Astrophysics Data System (ADS)

    Larrieu, Jeremy

    In organized wholesale electricity markets, power is sold competitively in a multi-unit multi-settlement single-price auction comprised of a forward and a spot market. This dissertation attempts to understand the structure of the forward premium in these markets, and to identify the factors that may lead forward and spot prices to converge or diverge. These markets are unique in that the forward demand is price-sensitive, while spot residual demand is perfectly inelastic and must be met in full, a crucial design feature the literature often glosses over. An important contribution of this dissertation is the explicit modeling of each market separately in order to understand how generation and load choose to act in each one, and the consequences of these actions on equilibrium prices and quantities given that firms maximize joint profits over both markets. In the first essay, I construct a two-settlement model of electricity prices in which firms that own asymmetric capacity-constrained units facing convex costs compete to meet demand from consumers, first in quantities, then in prices. I show that the forward premium depends on the costliness of spot production relative to firms' ability to exercise market power by setting quantities in the forward market. In the second essay, I test the model from the first essay with unit-level capacity and marginal cost data from the California Independent System Operator (CAISO). I show that the model closely replicates observed price formation in the CAISO. In the third essay, I estimate a time series model of the CAISO forward premium in order to measure the impact that virtual bidding has had on forward and spot price convergence in California between April 2009 and March 2014. I find virtual bidding to have caused forward and spot prices to diverge due to the large number of market participants looking to hedge against - or speculate on - the occurrence of infrequent but large spot price spikes by placing virtual demand bids.

  8. Essays on price dynamics, discovery, and dynamic threshold effects among energy spot markets in North America

    NASA Astrophysics Data System (ADS)

    Park, Haesun

    2005-12-01

    Given the role electricity and natural gas sectors play in the North American economy, an understanding of how markets for these commodities interact is important. This dissertation independently characterizes the price dynamics of major electricity and natural gas spot markets in North America by combining directed acyclic graphs with time series analyses. Furthermore, the dissertation explores a generalization of price difference bands associated with the law of one price. Interdependencies among 11 major electricity spot markets are examined in Chapter II using a vector autoregression model. Results suggest that the relationships between the markets vary by time. Western markets are separated from the eastern markets and the Electricity Reliability Council of Texas. At longer time horizons these separations disappear. Palo Verde is the important spot market in the west for price discovery. Southwest Power Pool is the dominant market in Eastern Interconnected System for price discovery. Interdependencies among eight major natural gas spot markets are investigated using a vector error correction model and the Greedy Equivalence Search Algorithm in Chapter III. Findings suggest that the eight price series are tied together through six long-run cointegration relationships, supporting the argument that the natural gas market has developed into a single integrated market in North America since deregulation. Results indicate that price discovery tends to occur in the excess consuming regions and move to the excess producing regions. Across North America, the U.S. Midwest region, represented by the Chicago spot market, is the most important for price discovery. The Ellisburg-Leidy Hub in Pennsylvania and Malin Hub in Oregon are important for eastern and western markets. In Chapter IV, a threshold vector error correction model is applied to the natural gas markets to examine nonlinearities in adjustments to the law of one price. Results show that there are nonlinear

  9. Trading on the index: Spot markets and price spreads in the Western interconnection

    SciTech Connect

    McCullough, R.

    1996-10-01

    For the past 20 years, the Western Systems Coordinating Council (WSCC) has built a reputation for innovation in electric markets. Today, with members in the United States, Canada, and Mexico that serve customers from the Pacific Ocean to the Plains states, and with over 140,000 megawatts (Mw) of generation and transmission stretched across three countries, the WSCC continues to lead change in power markets. Transparent pricing has become a reality throughout the region. Last year the Pacific Northwest subregion of the WSSC counted eight large (50 megawatts or more) industrial contracts with spot pricing. Puget Sound Power and Light recently proposed to shift all of its major customers to spot pricing when its current merger proceeding closes. The New York Mercantile Exchange (NYMEX) offers future trading at Palo Verde and the California/Oregon border (COB). Alberta`s new power pool adds a third market-price indicator. Soon we may see spot pricing for bulk power throughout the Western Power Exchange (WEPEX). This growing emphasis on spot pricing turns attention to pricing mechanics.

  10. A bid solicitation and selection method for developing a competitive spot priced electric market

    SciTech Connect

    Ancona, J.J.

    1997-05-01

    The electric utility industry is in the beginning throes of a transformation from a cost-based regulated structure to a more market based less regulated system. Traditional unit commitment and economic dispatch methodologies can continue to provide reliable least-cost solutions, providing they are modified to accommodate a larger sphere of market participants. This paper offers a method for an entity such as an Independent System Operator (ISO) to solicit and evaluate bids for developing a spot priced electric market by replicating existing utility practices that are effective and efficient, while creating an open and equitable competitive marketplace for electricity.

  11. Empirical Analysis of the Spot Market Implications ofPrice-Responsive Demand

    SciTech Connect

    Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

    2005-08-01

    Regardless of the form of restructuring, deregulatedelectricity industries share one common feature: the absence of anysignificant, rapid demand-side response to the wholesale (or, spotmarket) price. For a variety of reasons, most electricity consumers stillpay an average cost based regulated retail tariff held over from the eraof vertical integration, even as the retailers themselves are oftenforced to purchase electricity at volatile wholesale prices set in openmarkets. This results in considerable price risk for retailers, who aresometimes additionally forbidden by regulators from signing hedgingcontracts. More importantly, because end-users do not perceive real-time(or even hourly or daily) fluctuations in the wholesale price ofelectricity, they have no incentive to adjust their consumptionaccordingly. Consequently, demand for electricity is highly inelastic,which together with the non storability of electricity that requiresmarket clearing over very short time steps spawn many other problemsassociated with electricity markets, such as exercise of market power andprice volatility. Indeed, electricity generation resources can bestretched to the point where system adequacy is threatened. Economictheory suggests that even modest price responsiveness can relieve thestress on generation resources and decrease spot prices. To quantify thiseffect, actual generator bid data from the New York control area is usedto construct supply stacks and intersect them with demand curves ofvarious slopes to approximate the effect of different levels of demandresponse. The potential impact of real-time pricing (RTP) on theequilibrium spot price and quantity is then estimated. These resultsindicate the immediate benefits that could be derived from a moreprice-responsive demand providing policymakers with a measure of howprices can be potentially reduced and consumption maintained within thecapability of generation assets.

  12. Assessment of Prices of Natural Gas Futures Contracts As A Predictor of Realized Spot Prices, An

    EIA Publications

    2005-01-01

    This article compares realized Henry Hub spot market prices for natural gas during the three most recent winters with futures prices as they evolve from April through the following February, when trading for the March contract ends.

  13. Long-term market brisk, spot remains sluggish

    SciTech Connect

    1996-05-01

    Spot market activity totaled almost 54,000 lbs of U3O8 equivalent. The restricted uranium spot market price range had a slight increase from a high last month of $15.60/lb U3O8 to a hgih this month of $16.00/lb U3O8. The unrestricted uranium spot market price range remained at last month`s prices for the first time in recent weeks. Spot prices for conversion and SWU also held steady at their March levels.

  14. Spot foreign exchange market and time series

    NASA Astrophysics Data System (ADS)

    Petroni, F.; Serva, M.

    2003-08-01

    We investigate high frequency price dynamics in foreign exchange market using data from Reuters information system (the dataset has been provided to us by Olsen and Associates). In our analysis we show that a naïve approach to the definition of price (for example using the spot mid price) may lead to wrong conclusions on price behavior as for example the presence of short term correlations for returns. For this purpose we introduce an algorithm which only uses the non arbitrage principle to estimate real prices from the spot ones. The new definition leads to returns which are not affected by spurious correlations. Furthermore, any apparent information (defined by using Shannon entropy) contained in the data disappears.

  15. Fast Market Splitting Matching Method for Spot Electric Power Market

    NASA Astrophysics Data System (ADS)

    Sawa, Toshiyuki; Nakata, Yuji; Tsurugai, Mitsuo; Sugiyama, Shigenari

    We have developed a fast, innovative matching method for the spot power market, considering network constraints. In this method, buy and sell order bids are respectively divided into the aggregated volume of several band prices. Then the aggregated volume and the center of each band price are used to calculate a band clearing price, which contains the real clearing price. The dividing and calculating process is iterated until the band price is less than the tick size of the bidding price. We applied this method to a real problem in the Japanese power market with 9 areas, 10 area-connecting lines, and 9000 orders (volume/price pairs). Our simulation results show that the new method is ten times faster than conventional linear programming. This demonstrates the effectiveness of the developed method.

  16. Price convergence across natural gas fields and city markets

    SciTech Connect

    Walls, W.D.

    1994-12-31

    This research reports the results of cointegration tests between natural gas spot prices at various production fields, pipeline hubs, and city markets. Cointegration between prices is evidence that spatial arbitrage is enforcing the law of one price across market locations. The results show that prices at certain city markets, Chicago and to a lesser extent California, are cointegrated with prices in field markets. However, the prices at most other locations do not move in step with gas prices in the field markets. Customer access to pipeline transportation, or competitive bypass, may explain why prices at some city markets are more responsive to production field prices than others. 15 refs., 2 tabs.

  17. Prices dip on slow demand. [Uranium market overview - December 1992

    SciTech Connect

    Not Available

    1993-01-01

    The Restricted Uranium Spot Market Price Range slipped to $9.90-$10.35, mostly due to lackluster demand. Only three transactions took place during the month. Two of the purchases, accounting for 98% of the month's volume, were by European utilities; the other was made by a US utility. One of the European purchases was made in the unrestricted market, but since it included a host of fuel cycle services, the U3O8 price could not be determined. Hence, NUKEM's Unrestricted Uranium Spot Market Price Range stays the same, at $7.90-$8.00. The other European deal, concluded in the restricted market, represents the low end of the restricted market price range. The US deal was based on bids that were made at the beginning of November and therefore does not reflect market conditions in December. Looking ahead, we see four utilities ready to enter the market for nearly 1 million lbs U3O8 equivalent.

  18. Pricing and Marketing Online Information Services.

    ERIC Educational Resources Information Center

    Webber, Sheila Anne Elizabeth

    1998-01-01

    Discusses the pricing of online information in the broader context of marketing. Highlights include changes in the marketing context and issues of value relating to price; other reviews of online pricing; trends affecting price, including public sector involvement and the Internet; promotional pricing; price discrimination; and price aggregation…

  19. Price-elastic demand in deregulated electricity markets

    SciTech Connect

    Siddiqui, Afzal S.

    2003-05-01

    The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

  20. Microstructure and Execution Strategies in the Global Spot FX Market

    NASA Astrophysics Data System (ADS)

    Schmidt, Anatoly B.

    Modern global inter-bank spot foreign exchange is essentially a limit-order market. Execution strategies in such a market may differ from those in markets that permit market orders. Here we describe microstructure and dynamics of the EBS market (EBS being an ICAP company is the leading institutional spot FX electronic brokerage). In order to illustrate specifics of the limit-order market, we discuss two problems. First, we describe our simulations of maker loss in case when the EUR/USD maker order is pegged to the market best price. We show that the expected maker loss is lower than the typical bid/offer spread. Second, we discuss the problem of optimal slicing of large orders for minimizing execution costs. We start with analysis of the expected execution times for the EUR/USD orders submitted at varying market depth. Then we introduce a loss function that accounts for the market volatility risk and the order's P/L in respect to the market best price. This loss function can be optimized for given risk aversion. Finally, we apply this approach to slicing large limit orders.

  1. Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels

    EIA Publications

    2003-01-01

    This paper presents a short-term monthly forecasting model of West Texas Intermediate crude oil spot price using Organization for Economic Cooperation and Development (OECD) petroleum inventory levels.

  2. Optimum electric utility spot price determinations for small power producing facilities operating under PURPA provisions

    SciTech Connect

    Ghoudjehbaklou, H. ); Puttgen, H.B. )

    1988-09-01

    The present paper outlines an optimum spot price determination procedure in the general context of the Public Utility Regulatory Policies Act, PURPA, provisions. PURPA stipulates that local utilities must offer to purchase all available excess electric energy from Qualifying Facilities, QF, at fair market prices. As a direct consequence of these PURPA regulations, a growing number of owners are installing power producing facilities and optimize their operational schedules to minimize their utility related costs or, in some cases, actually maximize their revenues from energy sales to the local utility. In turn, the utility will strive to use spot prices which maximize its revenues from any given Small Power Producing Facility, SPPF, schedule while respecting the general regulatory and contractual framework. The proposed optimum spot price determination procedure fully models the SPPF operation, it enforces the contractual and regulatory restrictions, and it ensures the uniqueness of the optimum SPPF schedule.

  3. Optimum electric utility spot price determinations for small power producing facilities operating under PURPA provisions

    SciTech Connect

    Ghoudjehbaklou, H.; Puttgen, H.B.

    1988-01-01

    This paper outlines an optimum spot price determination procedure in the general context of the Public Utility Regulatory Policies Act, PURPA, provisions. PURPA stipulates that local utilities must offer to purchase all available excess electric energy from Qualifying Facilities, QF, at fair market prices. As a direct consequence of these PURPA regulations, a growing number of owners are installing power producing facilities and optimize their operational schedules to minimize their utility related costs or, in some cases, actually maximize their revenues from energy sales to the local utility. In turn, the utility strives to use spot prices which maximize its revenues from any given Small Power Producing Facility, SPPF, a schedule while respecting the general regulatory and contractual framework. the proposed optimum spot price determination procedure fully models the SPPF operation, it enforces the contractual and regulatory restrictions, and it ensures the uniqueness of the optimum SPPF schedule.

  4. Producers give prices a boost. [Uranium market overview

    SciTech Connect

    Not Available

    1992-09-01

    Uranium producers came alive in August, helping spot prices crack the $8.00 barrier for the first time since March. The upper end of NUKEM's price range actually finished the month at $8.20. Scrambling to fulfill their long-term delivery contracts, producers dominate the market. In the span of three weeks, five producers came out for 2 million lbs U3O8, ultimately buying nearly 1.5 million lbs. One producer accounted for over half this volume. The major factor behind rising prices was that producers required specific origins to meet contract obligations. Buyers willing to accept open origins created the lower end of NUKEM's price range.

  5. Prices dip, activity increases in unrestricted uranium market. [Uranium market overview

    SciTech Connect

    Not Available

    1993-05-01

    April's activity in the restricted uranium market fluctuated in the same range as that observed in March. At the same time, NUKEM detects a weakening of prices in the unrestricted market to $7.45-$7.65. Unrestricted buyers seem to have detected lower prices as well; much of the new demand noted this month emerged in the unrestricted segment of the market. With this issue, NUKEM inaugurates a new market statistic. To better follow developments in the conversion market, we will report a spot price range for conversion services. This price measure will be derived in a manner analogous to NUKEM's other spot market price ranges. We will continue to publish the current NUKEM price range for new contracts for a few months. If you wish to retain the old conversion contract price range in future editions, please contact our US office. Four deals for near term delivery occurred in the uranium market in April, resulting in spot market transaction volume of 2.5 million lbs U3O8 equivalent. In the first week, a US non-utility purchased a small quantity of enriched uranium product from an intermediary in a spot transaction representing about 75,000 lbs U3O8. The second week saw the stealthy purchase of Portland General Electric's inventory of natural and enriched uranium. The buyer of PGE's 1.1 million lbs U3O8 equivalent has achieved an unusual degree of anonymity. Also during the second week, a US utility bought a small quantity of enriched uranium containing less than 25,000 lbs natural U3O8 equivalent.

  6. Understanding Price Formation in Electricity Markets

    NASA Astrophysics Data System (ADS)

    Kadoya, Toshihisa; Sasaki, Tetsuo; Yokoyama, Akihiko; Ihara, Satoru

    The electricity price will influence the future growth and mix of generation capacity that will in turn influence the future electricity price, and therefore, it is important to understand how electricity price is formed as well as its short-term and long-term impacts on the economy. This paper describes evaluation of PJM day-ahead market bidding data and comparison of various electricity markets in terms of the market clearing price and volatility. The objective is to find critical factors and mechanisms determining the movements of electricity price. It was found that speculation by a small number of bidders can cause price spikes, that a Nash equilibrium may exist during a delayed response of the electricity price to a decline of the fuel price, and that the hydro generation with storage capability effectively stabilizes the electricity price.

  7. Crude oil price dynamics: A study on effects of market expectation and strategic supply on price movements

    NASA Astrophysics Data System (ADS)

    Jin, Xin

    Recent years have seen dramatic fluctuations in crude oil prices. This dissertation attempts to better understand price behavior. The first chapter studies the behavior of crude oil spot and futures prices. Oil prices, particularly spot and short-term futures prices, appear to have switched from I(0) to I(1) in early 2000s. To better understand this apparent change in persistence, a factor model of oil prices is proposed, where the prices are decomposed into long-term and short-term components. The change in the persistence behavior can be explained by changes in the relative volatility of the underlying components. Fitting the model to weekly data on WTI prices, the volatility of the persistent shocks increased substantially relative to other shocks. In addition, the risk premiums in futures prices have changed their signs and become more volatile. The estimated net marginal convenience yield using the model also shows changes in its behavior. These observations suggest that a dramatic fundamental change occurred in the period from 2002 to 2004 in the dynamics of the crude oil market. The second chapter explores the short-run price-inventory dynamics in the presence of different shocks. Classical competitive storage model states that inventory decision considers both current and future market condition, and thus interacts with spot and expected future spot prices. We study competitive storage holding in an equilibrium framework, focusing on the dynamic response of price and inventory to different shocks. We show that news shock generates response profile different from traditional contemporaneous shocks in price and inventory. The model is applied to world crude oil market, where the market expectation is estimated to experience a sharp change in early 2000s, together with a persisting constrained supply relative to demand. The expectation change has limited effect on crude oil spot price though. The world oil market structure has been studied extensively but no

  8. 7 CFR 27.96 - Quotations in bona fide spot markets.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... Cotton Division will on each business day determine and quote by bale volume the prices or values of base... determined and quoted by bale volume in each such spot market for those qualities normally produced or traded... settlement of futures contracts, the Cotton Division will on each business day determine and quote by...

  9. 7 CFR 27.96 - Quotations in bona fide spot markets.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... Cotton Division will on each business day determine and quote by bale volume the prices or values of base... determined and quoted by bale volume in each such spot market for those qualities normally produced or traded... settlement of futures contracts, the Cotton Division will on each business day determine and quote by...

  10. Empirical analysis of the spot market implications ofprice-elastic demand

    SciTech Connect

    Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

    2004-07-08

    Regardless of the form of restructuring, deregulated electricity industries share one common feature: the absence of any significant, rapid demand-side response to the wholesale (or, spotmarket) price. For a variety of reasons, electricity industries continue to charge most consumers an average cost based on regulated retail tariff from the era of vertical integration, even as the retailers themselves are forced to purchase electricity at volatile wholesale prices set in open markets. This results in considerable price risk for retailers, who are sometimes forbidden by regulators from signing hedging contracts. More importantly, because end-users do not perceive real-time (or even hourly or daily) fluctuations in the wholesale price of electricity, they have no incentive to adjust their consumption in response to price signals. Consequently, demand for electricity is highly inelastic, and electricity generation resources can be stretched to the point where system stability is threatened. This, then, facilitates many other problems associated with electricity markets, such as market power and price volatility. Indeed, economic theory suggests that even modestly price-responsive demand can remove the stress on generation resources and decrease spot prices. To test this theory, we use actual generator bid data from the New York control area to construct supply stacks, and intersect them with demand curves of various slopes to approximate different levels of demand elasticity. We then estimate the potential impact of real-time pricing on the equilibrium spot price and quantity. These results indicate the immediate benefits that could be derived from a more price-elastic demand. Such analysis can provide policymakers with a measure of how effective price-elastic demand can potentially reduce prices and maintain consumption within the capability of generation resources.

  11. Nonlinear Pricing in Energy and Environmental Markets

    NASA Astrophysics Data System (ADS)

    Ito, Koichiro

    This dissertation consists of three empirical studies on nonlinear pricing in energy and environmental markets. The first investigates how consumers respond to multi-tier nonlinear price schedules for residential electricity. Chapter 2 asks a similar research question for residential water pricing. Finally, I examine the effect of nonlinear financial rewards for energy conservation by applying a regression discontinuity design to a large-scale electricity rebate program that was implemented in California. Economic theory generally assumes that consumers respond to marginal prices when making economic decisions, but this assumption may not hold for complex price schedules. The chapter "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing" provides empirical evidence that consumers respond to average price rather than marginal price when faced with nonlinear electricity price schedules. Nonlinear price schedules, such as progressive income tax rates and multi-tier electricity prices, complicate economic decisions by creating multiple marginal prices for the same good. Evidence from laboratory experiments suggests that consumers facing such price schedules may respond to average price as a heuristic. I empirically test this prediction using field data by exploiting price variation across a spatial discontinuity in electric utility service areas. The territory border of two electric utilities lies within several city boundaries in southern California. As a result, nearly identical households experience substantially different nonlinear electricity price schedules. Using monthly household-level panel data from 1999 to 2008, I find strong evidence that consumers respond to average price rather than marginal or expected marginal price. I show that even though this sub-optimizing behavior has a minimal impact on individual welfare, it can critically alter the policy implications of nonlinear pricing. The second chapter " How Do

  12. The volatility of stock market prices.

    PubMed

    Shiller, R J

    1987-01-01

    If the volatility of stock market prices is to be understood in terms of the efficient markets hypothesis, then there should be evidence that true investment value changes through time sufficiently to justify the price changes. Three indicators of change in true investment value of the aggregate stock market in the United States from 1871 to 1986 are considered: changes in dividends, in real interest rates, and in a direct measure of intertemporal marginal rates of substitution. Although there are some ambiguities in interpreting the evidence, dividend changes appear to contribute very little toward justifying the observed historical volatility of stock prices. The other indicators contribute some, but still most of the volatility of stock market prices appears unexplained. PMID:17769311

  13. Asymmetric multiscale detrended fluctuation analysis of California electricity spot price

    NASA Astrophysics Data System (ADS)

    Fan, Qingju

    2016-01-01

    In this paper, we develop a new method called asymmetric multiscale detrended fluctuation analysis, which is an extension of asymmetric detrended fluctuation analysis (A-DFA) and can assess the asymmetry correlation properties of series with a variable scale range. We investigate the asymmetric correlations in California 1999-2000 power market after filtering some periodic trends by empirical mode decomposition (EMD). Our findings show the coexistence of symmetric and asymmetric correlations in the price series of 1999 and strong asymmetric correlations in 2000. What is more, we detect subtle correlation properties of the upward and downward price series for most larger scale intervals in 2000. Meanwhile, the fluctuations of Δα(s) (asymmetry) and | Δα(s) | (absolute asymmetry) are more significant in 2000 than that in 1999 for larger scale intervals, and they have similar characteristics for smaller scale intervals. We conclude that the strong asymmetry property and different correlation properties of upward and downward price series for larger scale intervals in 2000 have important implications on the collapse of California power market, and our findings shed a new light on the underlying mechanisms of power price.

  14. 7 CFR 27.93 - Bona fide spot markets.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 2 2013-01-01 2013-01-01 false Bona fide spot markets. 27.93 Section 27.93 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE COMMODITY STANDARDS AND STANDARD CONTAINER REGULATIONS COTTON CLASSIFICATION UNDER COTTON...

  15. Decomposing intraday dependence in currency markets: evidence from the AUD/USD spot market

    NASA Astrophysics Data System (ADS)

    Batten, Jonathan A.; Ellis, Craig A.; Hogan, Warren P.

    2005-07-01

    The local Hurst exponent, a measure employed to detect the presence of dependence in a time series, may also be used to investigate the source of intraday variation observed in the returns in foreign exchange markets. Given that changes in the local Hurst exponent may be due to either a time-varying range, or standard deviation, or both of these simultaneously, values for the range, standard deviation and local Hurst exponent are recorded and analyzed separately. To illustrate this approach, a high-frequency data set of the spot Australian dollar/US dollar provides evidence of the returns distribution across the 24-hour trading ‘day’, with time-varying dependence and volatility clearly aligning with the opening and closing of markets. This variation is attributed to the effects of liquidity and the price-discovery actions of dealers.

  16. Price dynamics in political prediction markets

    PubMed Central

    Majumder, Saikat Ray; Diermeier, Daniel; Rietz, Thomas A.; Amaral, Luís A. Nunes

    2009-01-01

    Prediction markets, in which contract prices are used to forecast future events, are increasingly applied to various domains ranging from political contests to scientific breakthroughs. However, the dynamics of such markets are not well understood. Here, we study the return dynamics of the oldest, most data-rich prediction markets, the Iowa Electronic Presidential Election “winner-takes-all” markets. As with other financial markets, we find uncorrelated returns, power-law decaying volatility correlations, and, usually, power-law decaying distributions of returns. However, unlike other financial markets, we find conditional diverging volatilities as the contract settlement date approaches. We propose a dynamic binary option model that captures all features of the empirical data and can potentially provide a tool with which one may extract true information events from a price time series. PMID:19155442

  17. Price dynamics in political prediction markets.

    PubMed

    Majumder, Saikat Ray; Diermeier, Daniel; Rietz, Thomas A; Amaral, Luís A Nunes

    2009-01-20

    Prediction markets, in which contract prices are used to forecast future events, are increasingly applied to various domains ranging from political contests to scientific breakthroughs. However, the dynamics of such markets are not well understood. Here, we study the return dynamics of the oldest, most data-rich prediction markets, the Iowa Electronic Presidential Election "winner-takes-all" markets. As with other financial markets, we find uncorrelated returns, power-law decaying volatility correlations, and, usually, power-law decaying distributions of returns. However, unlike other financial markets, we find conditional diverging volatilities as the contract settlement date approaches. We propose a dynamic binary option model that captures all features of the empirical data and can potentially provide a tool with which one may extract true information events from a price time series. PMID:19155442

  18. Prices dip along with volume. [Uranium market overview - July 1993

    SciTech Connect

    Not Available

    1993-08-01

    The summer doldrums took hold in July, with only eight deals taking place, four on the spot concentrates market, two in conversion and two in enrichment. Spot concentrates volume dropped by 23% to nearly 1.2 million lbs U308 equivalent, resulting in slight declines in NUKEM's restricted and unrestricted price ranges. There were four deals on the spot market in July, totaling nearly 1.2 million lbs U3O8 equivalent. One of the buyers, a US utility, bought low-enriched uranium containing up to 440,000 lbs equivalent. Two of the buyers, a European and a US utility, purchased nearly 580,000 lbs of concentrates, with most going to the European utility. And another US utility bought UF6 containing 149,000 lbs equivalent. As for new demand, four buyers - including the European and US utilities that bought concentrates, as well as an East European utility and a non-US producer - entered the market during the month seeking 1.4 million lbs equivalent. The latter two buyers, along with another European utility and another US utility, are now weighing offers for more than 2.2 million lbs U3O8 equivalent. Looking ahead, we anticipate that as many as 17 buyers may enter the market for nearly 5 million lbs equivalent.

  19. Equilibrium pricing in electricity markets with wind power

    NASA Astrophysics Data System (ADS)

    Rubin, Ofir David

    precision is still low. Therefore, it is crucial that the uncertainty in forecasting wind power is considered when modeling trading behavior. Our theoretical framework is based on finding a symmetric Cournot-Nash equilibrium in double-sided auctions in both forwards and spot electricity markets. The theoretical framework allows for the first time, to the best of our knowledge, a model of electricity markets that explain two main empirical findings; the existence of forwards premium and spot market mark-ups. That is a significant contribution since so far forward premiums have been explained exclusively by the assumption of risk-averse behavior while spot mark-ups are the outcome of the body of literature assuming oligopolistic competition. In the next step, we extend the theoretical framework to account for deregulated electricity markets with wind power. Modeling a wind-integrated electricity market allows us to analyze market outcomes with respect to three main factors; the introduction of uncertainty from the supply side, ownership of wind power capacity and the geographical diversification of wind power capacity. For the purpose of modeling trade in electricity forwards one should simulate the information agents have regarding future availability of aggregate wind power. This is particularly important for modeling accurately traders' ability to predict the spot price distribution. We develop a novel numerical methodology for the simulation of the conditional distribution of regional wind power at the time of trading short-term electricity forwards. Finally, we put the theoretical framework and the numerical methodology developed in this study to work by providing a detailed computational experiment examining electricity market outcomes for a particular expansion path of wind power capacity.

  20. 7 CFR 1221.16 - Net market price.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 10 2013-01-01 2013-01-01 false Net market price. 1221.16 Section 1221.16 Agriculture... INFORMATION ORDER Sorghum Promotion, Research, and Information Order Definitions § 1221.16 Net market price. Net market price means the sales price, or other value, per volumetric unit, received by a...

  1. 7 CFR 1221.16 - Net market price.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 10 2012-01-01 2012-01-01 false Net market price. 1221.16 Section 1221.16 Agriculture... INFORMATION ORDER Sorghum Promotion, Research, and Information Order Definitions § 1221.16 Net market price. Net market price means the sales price, or other value, per volumetric unit, received by a...

  2. 7 CFR 1221.16 - Net market price.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 10 2014-01-01 2014-01-01 false Net market price. 1221.16 Section 1221.16 Agriculture... INFORMATION ORDER Sorghum Promotion, Research, and Information Order Definitions § 1221.16 Net market price. Net market price means the sales price, or other value, per volumetric unit, received by a...

  3. How price linkage ties world oil markets

    SciTech Connect

    Hall, A.J.

    1989-01-23

    Since 1973, the oil industry has seen control of the price mechanism move from a small number of integrated international oil companies to OPEC, and then from OPEC to the free market. The reasons for this are well documented. Growth in petroleum demand through the early seventies put a handful of Middle East producers in a short run oligopolistic position. This allowed them to wrest the pricing initiative from the oil companies. Virtually overnight, the world moved from an era of stable--if contrived--tax reference prices to one of official government sales prices dictated by a producers' cartel. The resulting massive jump in real prices proved unsustainable. Demand for oil declined because of conservation and substitution. Also, supply, from noncartel members increased dramatically.

  4. Electricity market pricing, risk hedging and modeling

    NASA Astrophysics Data System (ADS)

    Cheng, Xu

    In this dissertation, we investigate the pricing, price risk hedging/arbitrage, and simplified system modeling for a centralized LMP-based electricity market. In an LMP-based market model, the full AC power flow model and the DC power flow model are most widely used to represent the transmission system. We investigate the differences of dispatching results, congestion pattern, and LMPs for the two power flow models. An appropriate LMP decomposition scheme to quantify the marginal costs of the congestion and real power losses is critical for the implementation of financial risk hedging markets. However, the traditional LMP decomposition heavily depends on the slack bus selection. In this dissertation we propose a slack-independent scheme to break LMP down into energy, congestion, and marginal loss components by analyzing the actual marginal cost of each bus at the optimal solution point. The physical and economic meanings of the marginal effect at each bus provide accurate price information for both congestion and losses, and thus the slack-dependency of the traditional scheme is eliminated. With electricity priced at the margin instead of the average value, the market operator typically collects more revenue from power sellers than that paid to power buyers. According to the LMP decomposition results, the revenue surplus is then divided into two parts: congestion charge surplus and marginal loss revenue surplus. We apply the LMP decomposition results to the financial tools, such as financial transmission right (FTR) and loss hedging right (LHR), which have been introduced to hedge against price risks associated to congestion and losses, to construct a full price risk hedging portfolio. The two-settlement market structure and the introduction of financial tools inevitably create market manipulation opportunities. We investigate several possible market manipulation behaviors by virtual bidding and propose a market monitor approach to identify and quantify such

  5. 7 CFR 27.96 - Quotations in bona fide spot markets.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... determined by the sale of spot cotton in such spot market. Quotations shall be determined and maintained in each designated spot market by the Cotton Division, Agricultural Marketing Service, USDA, as follows... determined and quoted by bale volume in each such spot market for those qualities normally produced or...

  6. 7 CFR 27.96 - Quotations in bona fide spot markets.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... determined by the sale of spot cotton in such spot market. Quotations shall be determined and maintained in each designated spot market by the Cotton Division, Agricultural Marketing Service, USDA, as follows... determined and quoted by bale volume in each such spot market for those qualities normally produced or...

  7. 7 CFR 27.96 - Quotations in bona fide spot markets.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... determined by the sale of spot cotton in such spot market. Quotations shall be determined and maintained in each designated spot market by the Cotton Division, Agricultural Marketing Service, USDA, as follows... determined and quoted by bale volume in each such spot market for those qualities normally produced or...

  8. Crowdsourcing Black Market Prices For Prescription Opioids

    PubMed Central

    Freifeld, Clark; Brownstein, John S; Menone, Christopher Mark; Surratt, Hilary L; Poppish, Luke; Green, Jody L; Lavonas, Eric J; Dart, Richard C

    2013-01-01

    Background Prescription opioid diversion and abuse are major public health issues in the United States and internationally. Street prices of diverted prescription opioids can provide an indicator of drug availability, demand, and abuse potential, but these data can be difficult to collect. Crowdsourcing is a rapid and cost-effective way to gather information about sales transactions. We sought to determine whether crowdsourcing can provide accurate measurements of the street price of diverted prescription opioid medications. Objective To assess the possibility of crowdsourcing black market drug price data by cross-validation with law enforcement officer reports. Methods Using a crowdsourcing research website (StreetRx), we solicited data about the price that site visitors paid for diverted prescription opioid analgesics during the first half of 2012. These results were compared with a survey of law enforcement officers in the Researched Abuse, Diversion, and Addiction-Related Surveillance (RADARS) System, and actual transaction prices on a “dark Internet” marketplace (Silk Road). Geometric means and 95% confidence intervals were calculated for comparing prices per milligram of drug in US dollars. In a secondary analysis, we compared prices per milligram of morphine equivalent using standard equianalgesic dosing conversions. Results A total of 954 price reports were obtained from crowdsourcing, 737 from law enforcement, and 147 from the online marketplace. Correlations between the 3 data sources were highly linear, with Spearman rho of 0.93 (P<.001) between crowdsourced and law enforcement, and 0.98 (P<.001) between crowdsourced and online marketplace. On StreetRx, the mean prices per milligram were US$3.29 hydromorphone, US$2.13 buprenorphine, US$1.57 oxymorphone, US$0.97 oxycodone, US$0.96 methadone, US$0.81 hydrocodone, US$0.52 morphine, and US$0.05 tramadol. The only significant difference between data sources was morphine, with a Drug Diversion price of US

  9. Cross-correlations between price and volume in Chinese gold markets

    NASA Astrophysics Data System (ADS)

    Ruan, Qingsong; Jiang, Wei; Ma, Guofeng

    2016-06-01

    We apply the multifractal detrended cross-correlation analysis (MF-DCCA) method to investigate the cross-correlation behaviors between price and volume in Chinese gold spot and futures markets. Qualitatively, we find that the price and volume series are significantly cross-correlated using the cross-correlation test statistics Qcc(m) and the ρDCCA coefficients. Quantitatively, by employing the MF-DCCA analysis, we find that there is a power-law cross-correlation and significant multifractal features between price and volume in gold spot and futures markets. Furthermore, by comparing the multifractality of the original series to the shuffled and surrogated series, we find that, for the gold spot market, the main contribution of multifractality is fat-tail distribution; for the gold futures market, both long-range correlations and fat-tail distributions play important roles in the contribution of multifractality. Finally, by employing the method of rolling windows, we undertake further investigation into the time-varying features of the cross-correlations between price and volume. We find that for both spot and futures markets, the cross-correlations are anti-persistent in general. In the short term, the cross-correlation shows obvious fluctuations due to exogenous shocks while, in the long term, the relationship tends to be at a metastable level due to the dynamic mechanism.

  10. 41 CFR 51-2.7 - Fair market price.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 41 Public Contracts and Property Management 1 2010-07-01 2010-07-01 true Fair market price. 51-2.7... WHO ARE BLIND OR SEVERELY DISABLED § 51-2.7 Fair market price. (a) The Committee is responsible for determining fair market prices, and changes thereto, for commodities and services on the Procurement List....

  11. 41 CFR 51-2.7 - Fair market price.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 41 Public Contracts and Property Management 1 2011-07-01 2009-07-01 true Fair market price. 51-2.7... WHO ARE BLIND OR SEVERELY DISABLED § 51-2.7 Fair market price. (a) The Committee is responsible for determining fair market prices, and changes thereto, for commodities and services on the Procurement List....

  12. 7 CFR 760.640 - National average market price.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 7 2014-01-01 2014-01-01 false National average market price. 760.640 Section 760.640....640 National average market price. (a) The Deputy Administrator will establish the National Average Market Price (NAMP) using the best sources available, as determined by the Deputy Administrator,...

  13. 41 CFR 51-2.7 - Fair market price.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 41 Public Contracts and Property Management 1 2013-07-01 2013-07-01 false Fair market price. 51-2... FROM PEOPLE WHO ARE BLIND OR SEVERELY DISABLED § 51-2.7 Fair market price. (a) The Committee is responsible for determining fair market prices, and changes thereto, for commodities and services on...

  14. 7 CFR 760.640 - National average market price.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 7 2012-01-01 2012-01-01 false National average market price. 760.640 Section 760.640....640 National average market price. (a) The Deputy Administrator will establish the National Average Market Price (NAMP) using the best sources available, as determined by the Deputy Administrator,...

  15. 7 CFR 760.640 - National average market price.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 7 2011-01-01 2011-01-01 false National average market price. 760.640 Section 760.640....640 National average market price. (a) The Deputy Administrator will establish the National Average Market Price (NAMP) using the best sources available, as determined by the Deputy Administrator,...

  16. 41 CFR 51-2.7 - Fair market price.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 41 Public Contracts and Property Management 1 2014-07-01 2014-07-01 false Fair market price. 51-2... FROM PEOPLE WHO ARE BLIND OR SEVERELY DISABLED § 51-2.7 Fair market price. (a) The Committee is responsible for determining fair market prices, and changes thereto, for commodities and services on...

  17. 7 CFR 760.640 - National average market price.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 7 2013-01-01 2013-01-01 false National average market price. 760.640 Section 760.640....640 National average market price. (a) The Deputy Administrator will establish the National Average Market Price (NAMP) using the best sources available, as determined by the Deputy Administrator,...

  18. 7 CFR 760.640 - National average market price.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false National average market price. 760.640 Section 760.640....640 National average market price. (a) The Deputy Administrator will establish the National Average Market Price (NAMP) using the best sources available, as determined by the Deputy Administrator,...

  19. 41 CFR 51-2.7 - Fair market price.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 41 Public Contracts and Property Management 1 2012-07-01 2009-07-01 true Fair market price. 51-2.7... WHO ARE BLIND OR SEVERELY DISABLED § 51-2.7 Fair market price. (a) The Committee is responsible for determining fair market prices, and changes thereto, for commodities and services on the Procurement List....

  20. Optimal Operation and Value Evaluation of Pumped Storage Power Plants Considering Spot Market Trading and Uncertainty of Bilateral Demand

    NASA Astrophysics Data System (ADS)

    Takahashi, Kenta; Hara, Ryoichi; Kita, Hiroyuki; Hasegawa, Jun

    In recent years, as the deregulation in electric power industry has advanced in many countries, a spot market trading of electricity has been done. Generation companies are allowed to purchase the electricity through the electric power market and supply electric power for their bilateral customers. Under this circumstance, it is important for the generation companies to procure the required electricity with cheaper cost to increase their profit. The market price is volatile since it is determined by bidding between buyer and seller. The pumped storage power plant, one of the storage facilities is promising against such volatile market price since it can produce a profit by purchasing electricity with lower-price and selling it with higher-price. This paper discusses the optimal operation of the pumped storage power plants considering bidding strategy to an uncertain spot market. The volatilities in market price and demand are represented by the Vasicek model in our estimation. This paper also discusses the allocation of operational reserve to the pumped storage power plant.

  1. An empirical study on information spillover effects between the Chinese copper futures market and spot market

    NASA Astrophysics Data System (ADS)

    Liu, Xiangli; Cheng, Siwei; Wang, Shouyang; Hong, Yongmiao; Li, Yi

    2008-02-01

    This study employs a parametric approach based on TGARCH and GARCH models to estimate the VaR of the copper futures market and spot market in China. Considering the short selling mechanism in the futures market, the paper introduces two new notions: upside VaR and extreme upside risk spillover. And downside VaR and upside VaR are examined by using the above approach. Also, we use Kupiec’s [P.H. Kupiec, Techniques for verifying the accuracy of risk measurement models, Journal of Derivatives 3 (1995) 73-84] backtest to test the power of our approaches. In addition, we investigate information spillover effects between the futures market and the spot market by employing a linear Granger causality test, and Granger causality tests in mean, volatility and risk respectively. Moreover, we also investigate the relationship between the futures market and the spot market by using a test based on a kernel function. Empirical results indicate that there exist significant two-way spillovers between the futures market and the spot market, and the spillovers from the futures market to the spot market are much more striking.

  2. Marketing and pricing strategies of online pharmacies.

    PubMed

    Levaggi, Rosella; Orizio, Grazia; Domenighini, Serena; Bressanelli, Maura; Schulz, Peter J; Zani, Claudia; Caimi, Luigi; Gelatti, Umberto

    2009-10-01

    Internet and e-commerce have profoundly changed society, the economy, and the world of health care. The web offers opportunities to improve health, but it may also represent a big health hazard since it is a basically unregulated market with very low consumer protection. In this paper we analyze marketing and pricing strategies of online pharmacies (OPs). Our analysis shows that OPs use strategies that would be more suitable for a commodity market than for drugs. These strategies differentiate according to variety (brand or generic), quality, quantity, and target group. OPs are well aware that the vacuum in the legislation allows them to reach a target of consumers that pharmacies cannot normally reach, such as those who would like to use the drug without consulting a physician (or, even worse, against the physician's advice). In this case, they usually charge a higher price, reassure the users by minimizing on the side effects, and induce them to bulk purchase through sensible price discounts. This analysis suggests that the selling of drugs via the Internet can turn into a "public health risk", as has been pointed out by the US Food and Drug Administration. PMID:19394104

  3. 78 FR 9330 - Revision of Regulations Defining Bona Fide Cotton Spot Markets

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-08

    ... Cotton Research and Promotion Act. Updated bona fide spot market definitions will allow for published... Federal Register on August 4, 1988 (53 FR 29327). For each of these bona fide spot markets, the Cotton and... Defining Bona Fide Cotton Spot Markets AGENCY: Agricultural Marketing Service, USDA. ACTION: Proposed...

  4. 48 CFR 19.807 - Estimating the fair market price.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 48 Federal Acquisition Regulations System 1 2010-10-01 2010-10-01 false Estimating the fair market...) Program) 19.807 Estimating the fair market price. (a) The contracting officer shall estimate the fair market price of the work to be performed by the 8(a) contractor. (b) In estimating the fair market...

  5. 48 CFR 19.807 - Estimating the fair market price.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 48 Federal Acquisition Regulations System 1 2012-10-01 2012-10-01 false Estimating the fair market...) Program) 19.807 Estimating the fair market price. (a) The contracting officer shall estimate the fair market price of the work to be performed by the 8(a) contractor. (b) In estimating the fair market...

  6. 48 CFR 19.807 - Estimating the fair market price.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 48 Federal Acquisition Regulations System 1 2013-10-01 2013-10-01 false Estimating the fair market...) Program) 19.807 Estimating the fair market price. (a) The contracting officer shall estimate the fair market price of the work to be performed by the 8(a) contractor. (b) In estimating the fair market...

  7. 48 CFR 19.807 - Estimating the fair market price.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 48 Federal Acquisition Regulations System 1 2011-10-01 2011-10-01 false Estimating the fair market...) Program) 19.807 Estimating the fair market price. (a) The contracting officer shall estimate the fair market price of the work to be performed by the 8(a) contractor. (b) In estimating the fair market...

  8. Carbon pricing, nuclear power and electricity markets

    SciTech Connect

    Cameron, R.; Keppler, J. H.

    2012-07-01

    In 2010, the NEA in conjunction with the International Energy Agency produced an analysis of the Projected Costs of Electricity for almost 200 power plants, covering nuclear, fossil fuel and renewable electricity generation. That analysis used lifetime costs to consider the merits of each technology. However, the lifetime cost analysis is less applicable in liberalised markets and does not look specifically at the viewpoint of the private investor. A follow-up NEA assessment of the competitiveness of nuclear energy against coal- and gas-fired generation under carbon pricing has considered just this question. The economic competition in electricity markets is today between nuclear energy and gas-fired power generation, with coal-fired power generation not being competitive as soon as even modest carbon pricing is introduced. Whether nuclear energy or natural gas comes out ahead in their competition depends on a number of assumptions, which, while all entirely reasonable, yield very different outcomes. The analysis in this study has been developed on the basis of daily data from European power markets over the last five-year period. Three different methodologies, a Profit Analysis looking at historic returns over the past five years, an Investment Analysis projecting the conditions of the past five years over the lifetime of plants and a Carbon Tax Analysis (differentiating the Investment Analysis for different carbon prices) look at the issue of competitiveness from different angles. They show that the competitiveness of nuclear energy depends on a number of variables which in different configurations determine whether electricity produced from nuclear power or from CCGTs generates higher profits for its investors. These are overnight costs, financing costs, gas prices, carbon prices, profit margins (or mark-ups), the amount of coal with carbon capture and electricity prices. This paper will present the outcomes of the analysis in the context of a liberalised

  9. 78 FR 25181 - Revision of Regulations Defining Bona Fide Cotton Spot Markets

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-30

    ... assure consistency with the revised Cotton Research and Promotion Act. Updated bona fide spot market... Federal Register on August 4, 1988 (53 FR 29327). For each of these bona fide spot markets, the Cotton and... Service 7 CFR Part 27 RIN 0581-AD26 Revision of Regulations Defining Bona Fide Cotton Spot Markets...

  10. Does dynamic pricing make sense for mass market customers?

    SciTech Connect

    McDonough, Catherine; Kraus, Robert

    2007-08-15

    The added incentive to modify electric use under hourly versus monthly market-based pricing is small for most mass market customers in Upstate New York. If the ultimate policy goal of demand-response programs is to reduce peak load, then promoting conservation measures under monthly market-based pricing holds more promise. (author)

  11. Crude oil prices as determined by OPEC and market fundamentals

    SciTech Connect

    MacAvoy, P.W.

    1982-01-01

    A detailed analysis of the causes of oil price increases during the last decade and of the consequences for price levels in the 1980s, this study includes both market fundamentals and the OPEC cartel in identifying major and minor determinants of price changes in the world crude-oil market. MacAvoy poses a scenario without OPEC, and argues that world-market supply-and-demand conditions would have resulted in the same yearly average price increases. He argues that pressuring OPEC to prevent or mitigate future price increases will not work. Instead, policymakers must view crude oil prices from a wider political and economic perspective. Only then can they successfully anticipate abrupt price changes that are inherent to the market itself. 30 references, 9 figures, 52 tables.

  12. Time spans between price maxima and price minima in stock markets

    NASA Astrophysics Data System (ADS)

    Zou, Yongjie; Li, Honggang

    2014-02-01

    We empirically investigate the distribution of time spans between price maxima and price minima in international stock markets, where a time span is defined as the time interval between a local price minimum and a local price maximum, and local price extrema are identified by a method introduced by Preis and Stanley (Preis et al. (2011), Preis (2011), Preis and Stanley (2011, 2010), Preis (2010), Preis and Stanley (2010), Stanley et al. (2010), Preis and Stanley (2009)). The empirical results show that both the tail distributions of time spans from local price maxima to local price minima and the tail distributions of time spans from local price minima to local price maxima yield an exponential distribution. In addition, price rise/fall asymmetry is observed by comparing the values of the exponents of the distribution curves. These results are robust across eight representative stock markets.

  13. Multifractal cross-correlation analysis in electricity spot market

    NASA Astrophysics Data System (ADS)

    Fan, Qingju; Li, Dan

    2015-07-01

    In this paper, we investigate the multiscale cross-correlations between electricity price and trading volume in Czech market based on a newly developed algorithm, called Multifractal Cross-Correlation Analysis (MFCCA). The new algorithm is a natural multifractal generalization of the Detrended Cross-Correlation Analysis (DCCA), and is sensitive to cross-correlation structure and free from limitations of other algorithms. By considering the original sign of the cross-covariance, it allows us to properly quantify and detect the subtle characteristics of two simultaneous recorded time series. First, the multifractality and the long range anti-persistent auto-correlations of price return and trading volume variation are confirmed using Multifractal Detrended Fluctuation Analysis (MF-DFA). Furthermore, we show that there exist long-range anti-persistent cross-correlations between price return and trading volume variation by MFCCA. And we also identify that the cross-correlations disappear on the level of relative small fluctuations. In order to obtain deeper insight into the dynamics of the electricity market, we analyze the relation between generalized Hurst exponent and the multifractal cross-correlation scaling exponent λq. We find that the difference between the generalized Hurst exponent and the multifractal cross-correlation scaling exponent is significantly different for smaller fluctuation, which indicates that the multifractal character of cross-correlations resembles more each other for electricity price and trading volume on the level of large fluctuations and weakens for the smaller ones.

  14. The Minimum Wage, Restaurant Prices, and Labor Market Structure

    ERIC Educational Resources Information Center

    Aaronson, Daniel; French, Eric; MacDonald, James

    2008-01-01

    Using store-level and aggregated Consumer Price Index data, we show that restaurant prices rise in response to minimum wage increases under several sources of identifying variation. We introduce a general model of employment determination that implies minimum wage hikes cause prices to rise in competitive labor markets but potentially fall in…

  15. Majority orienting model for the oscillation of market price

    NASA Astrophysics Data System (ADS)

    Takahashi, H.; Itoh, Y.

    2004-01-01

    The present paper introduces a majority orienting model in which the dealers' behavior changes based on the influence of the price to show the oscillation of stock price in the stock market. We show the oscillation of the price for the model by applying the vanderPol equation which is a deterministic approximation of our model.

  16. Marketing Theory Applied to Price Discrimination in Journals.

    ERIC Educational Resources Information Center

    Talaga, James; Haley, Jean Walstrom

    1991-01-01

    Discussion of discriminatory pricing by journal publishers and its effects on libraries focuses on six prerequisites for successful discriminatory pricing that are based on marketing theory. Strategies to eliminate some of these prerequisites--and therefore eliminate discriminatory pricing--are suggested, including the need to change the attitudes…

  17. Traders' strategy with price feedbacks in financial market

    NASA Astrophysics Data System (ADS)

    Mizuno, Takayuki; Nakano, Tohur; Takayasu, Misako; Takayasu, Hideki

    2004-12-01

    We introduce an autoregressive-type model of prices in the financial market taking into account the self-modulation effect. We find that traders are mainly using strategies with weighted feedbacks of past prices. These feedbacks are responsible for the slow diffusion in short times, apparent trends and power law distribution of price changes.

  18. The Pricing of British Journals for the North American Market.

    ERIC Educational Resources Information Center

    Tuttle, Marcia

    1986-01-01

    Presents an informal report of seminar entitled "Learned Journals: The Problem of Pricing and Buying Round," held in London on March 22, 1985, in attempt to answer charges of discriminatory pricing. Price differential of British scholarly journals, costs, marketing, and role of subscription agent are discussed. Seven sources are given. (EJS)

  19. 7 CFR 1221.16 - Net market price.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE SORGHUM PROMOTION, RESEARCH, AND INFORMATION ORDER Sorghum Promotion, Research, and Information Order Definitions § 1221.16 Net market price... 7 Agriculture 10 2011-01-01 2011-01-01 false Net market price. 1221.16 Section 1221.16...

  20. Uranium prices continue their upward climb

    SciTech Connect

    1996-03-01

    This article is the uranium market overview for the month of February 1996. Prices were up in the spot market for U3O8, while conversion market prices and SWU prices remained steady. There were six trades in the U3O8 spot market, ten deals in the long-term U3O8 market, three deals in the conversion market, and a single deal in the SWU market.

  1. Why Are Product Prices in Online Markets Not Converging?

    PubMed Central

    Mizuno, Takayuki; Watanabe, Tsutomu

    2013-01-01

    Why are product prices in online markets dispersed in spite of very small search costs? To address this question, we construct a unique dataset from a Japanese price comparison site, which records price quotes offered by e-retailers as well as customers’ clicks on products, which occur when they proceed to purchase the product. The novelty of our approach is that we seek to extract useful information on the source of price dispersion from the shape of price distributions rather than focusing merely on the standard deviation or the coefficient of variation of prices, as previous studies have done. We find that the distribution of prices retailers quote for a particular product at a particular point in time (divided by the lowest price) follows an exponential distribution, showing the presence of substantial price dispersion. For example, 20 percent of all retailers quote prices that are more than 50 percent higher than the lowest price. Next, comparing the probability that customers click on a retailer with a particular rank and the probability that retailers post prices at a particular rank, we show that both decline exponentially with price rank and that the exponents associated with the probabilities are quite close. This suggests that the reason why some retailers set prices at a level substantially higher than the lowest price is that they know that some customers will choose them even at that high price. Based on these findings, we hypothesize that price dispersion in online markets stems from heterogeneity in customers’ preferences over retailers; that is, customers choose a set of candidate retailers based on their preferences, which are heterogeneous across customers, and then pick a particular retailer among the candidates based on the price ranking. PMID:24015219

  2. Multifractal analysis of spot rates in tanker markets and their comparisons with crude oil markets

    NASA Astrophysics Data System (ADS)

    Zheng, Shiyuan; Lan, Xiangang

    2016-02-01

    This paper investigates the dynamic features of the spot rates for VLCC/ULCC, Suezmax, Aframax, Panamax and Handysize tanker markets by means of multifractal detrended fluctuation analysis (MF-DFA). The Hurst exponents, especially the time-dependent Hurst exponents, of the daily rate returns are calculated to capture the fractal properties of these different tanker markets. The origins of multifractility in these markets are identified by comparing their multifractal scaling exponents based on the original data, the shuffled data and the surrogate data. Furthermore, the non-periodic cycles for these markets are detected by the V-statistic. Finally, the comparisons of the fractal properties between the tanker markets and the crude oil commodity markets suggest that the tanker markets are more fractal than their upstream counterparts.

  3. Market Confidence Predicts Stock Price: Beyond Supply and Demand.

    PubMed

    Sun, Xiao-Qian; Shen, Hua-Wei; Cheng, Xue-Qi; Zhang, Yuqing

    2016-01-01

    Stock price prediction is an important and challenging problem in stock market analysis. Existing prediction methods either exploit autocorrelation of stock price and its correlation with the supply and demand of stock, or explore predictive indictors exogenous to stock market. In this paper, using transaction record of stocks with identifier of traders, we introduce an index to characterize market confidence, i.e., the ratio of the number of traders who is active in two successive trading days to the number of active traders in a certain trading day. Strong Granger causality is found between the index of market confidence and stock price. We further predict stock price by incorporating the index of market confidence into a neural network based on time series of stock price. Experimental results on 50 stocks in two Chinese Stock Exchanges demonstrate that the accuracy of stock price prediction is significantly improved by the inclusion of the market confidence index. This study sheds light on using cross-day trading behavior to characterize market confidence and to predict stock price. PMID:27391816

  4. Market Confidence Predicts Stock Price: Beyond Supply and Demand

    PubMed Central

    Sun, Xiao-Qian; Shen, Hua-Wei; Cheng, Xue-Qi; Zhang, Yuqing

    2016-01-01

    Stock price prediction is an important and challenging problem in stock market analysis. Existing prediction methods either exploit autocorrelation of stock price and its correlation with the supply and demand of stock, or explore predictive indictors exogenous to stock market. In this paper, using transaction record of stocks with identifier of traders, we introduce an index to characterize market confidence, i.e., the ratio of the number of traders who is active in two successive trading days to the number of active traders in a certain trading day. Strong Granger causality is found between the index of market confidence and stock price. We further predict stock price by incorporating the index of market confidence into a neural network based on time series of stock price. Experimental results on 50 stocks in two Chinese Stock Exchanges demonstrate that the accuracy of stock price prediction is significantly improved by the inclusion of the market confidence index. This study sheds light on using cross-day trading behavior to characterize market confidence and to predict stock price. PMID:27391816

  5. Should Consumers Be Priced Out of Pollution-Permit Markets?

    ERIC Educational Resources Information Center

    Smith, Stefani C.; Yates, Andrew J.

    2003-01-01

    Presents a simple diagrammatic exposition of a pollution-permit market in which firms that generate pollution and consumers who are harmed by pollution are allowed to purchase permits at a single market price. Illustrates that the market equilibrium is efficient only if the endowment of permits is equal to the efficient level of pollution. (JEH)

  6. Distribution of asset price movement and market potential

    NASA Astrophysics Data System (ADS)

    Kim, Dong Han; Marmi, Stefano

    2015-07-01

    In this article we discuss the distribution of asset price movements by introducing a market potential function. From the principle of free energy minimization we analyze two different kinds of market potentials. We obtain a U-shaped potential when market reversion (i.e. contrarian investors) is dominant. On the other hand, if there are more trend followers, flat and logarithmic potentials appear. By using the cyclically adjusted price-to-earning ratio, which is a common valuation tool, we empirically investigate the market data. By studying long term data we observe the historical change of the market potential of the US stock market. Recent US data show that the market potential looks more like a trend-following potential. Next, we compare the market potentials for 12 different countries. Though some countries have similar market potentials, there are specific examples like Japan which exhibits a very flat potential.

  7. Fish market prices drive overfishing of the 'big ones'.

    PubMed

    Tsikliras, Athanassios C; Polymeros, Konstantinos

    2014-01-01

    The relationship between fish market price and body size has not been explored much in fisheries science. Here, the mean market prices and fish body size were collected in order to examine the hypothesis that large fish, both among- and within-species, are being selectively targeted by fisheries because they may yield greater profit. Trophic levels, vulnerability to fishing and global landings were also collected because these variables may also be related to the market fish price. These relationships were examined using generalized additive models (GAM), which showed that, among species, fish market price was positively dependent on maximum total length (P = 0.0024) and negatively on landings (P = 0.0006), whereas it was independent of trophic level (P > 0.05) and vulnerability to fishing (P > 0.05). When the fish price vs. size relationship was tested within-species, large individuals were consistently attaining higher market prices compared to their medium and small-sized counterparts. We conclude that the selective removal of the larger fish, which is driven by their market price and to a lesser extent by their availability, may contribute to their overfishing. PMID:25392754

  8. Facing Price Risks in Internet-of-Services Markets

    NASA Astrophysics Data System (ADS)

    Matros, Raimund; Streitberger, Werner; Koenig, Stefan; Eymann, Torsten

    Internet-of-Services markets allow companies to procure computational resources and application services externally and thus to save both internal capital expenditures and operational costs. Despite the advantages of this new paradigm only few work has been done in the field of risk management concerning Internet-of-Services markets. We simulate such a market using a Grid simulator. The results show that market participants are exposed to price risk. Based on our results we identify and assess technical failures which could lead to loss on service consumer's side. We also show that technical failures influence service prices which lead to volatile prices. Both, service provider and service consumer are exposed to this uncertainty and need a way to face it. Therefore we apply a financial option model to overcome price risk.

  9. Comparing Price Forecast Accuracy of Natural Gas Models andFutures Markets

    SciTech Connect

    Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

    2005-06-30

    The purpose of this article is to compare the accuracy of forecasts for natural gas prices as reported by the Energy Information Administration's Short-Term Energy Outlook (STEO) and the futures market for the period from 1998 to 2003. The analysis tabulates the existing data and develops a statistical comparison of the error between STEO and U.S. wellhead natural gas prices and between Henry Hub and U.S. wellhead spot prices. The results indicate that, on average, Henry Hub is a better predictor of natural gas prices with an average error of 0.23 and a standard deviation of 1.22 than STEO with an average error of -0.52 and a standard deviation of 1.36. This analysis suggests that as the futures market continues to report longer forward prices (currently out to five years), it may be of interest to economic modelers to compare the accuracy of their models to the futures market. The authors would especially like to thank Doug Hale of the Energy Information Administration for supporting and reviewing this work.

  10. Domestic petroleum-product prices around the world. Survey: free market or government price controls

    SciTech Connect

    Not Available

    1983-01-27

    In this issue, Energy Detente draws from their regular Western and Eastern Hemisphere Fuel Price/Tax Series, each produced monthly, and adds other survey data and analysis for a broad view of 48 countries around the world. They find that seven Latin American nations, including OPEC members Venezuela and Ecuador, are among the ten countries with lowest gasoline prices. In this Fourth Special Price Report, Energy Detente provides a first-time presentation of which prices are government-controlled, and which are free to respond to market forces. South Korea, with fixed prices since 1964, has the highest premium-grade gasoline price in our survey, US $5.38 per gallon. Paraguay, with prices fixed by PETROPAR, the national oil company, has the second highest premium gasoline price, US $4.21 per gallon. Nicaragua, also with government price controls, ranks third highest in the survey, with US $3.38 per gallon for premium gasoline. Kuwait shows the lowest price at US $0.55 per gallon. Several price changes from the previous survey reflect changes in currency exchange as all prices are converted to US dollars. The Energy Detente fuel price/tax series is presented for Western Hemisphere countries.

  11. Entry, Pricing, and Product Design in an Initially Monopolized Market

    ERIC Educational Resources Information Center

    Davis, Steven J.; Murphy, Kevin M.; Topel, Robert H.

    2004-01-01

    We analyze entry, pricing, and product design in a model with differentiated products. Market equilibrium can be "separating," with multiple sellers and a sorting of heterogeneous consumers across goods, or "exclusionary," with one seller serving all customer types. Entry into an initially monopolized market can occur because of cost reductions or…

  12. Fluctuation in option pricing using cellular automata based market models

    NASA Astrophysics Data System (ADS)

    Gao, Yuying; Beni, Gerardo

    2005-05-01

    A new agent-based Cellular Automaton (CA) computational algorithm for option pricing is proposed. CAs have been extensively used in modeling complex dynamical systems but not in modeling option prices. Compared with traditional tools, which rely on guessing volatilities to calculate option prices, the CA model is directly addressing market mechanisms and simulates price fluctuation from aggregation of actions made by interacting individual market makers in a large population. This paper explores whether CA models can provide reasonable good answers to pricing European options. The Black-Scholes model and the Binomial Tree model are used for comparison. Comparison reveals that CA models perform reasonably well in pricing options, reproducing overall characteristics of random walk based model, while at the same time providing plausible results for the 'fat-tail' phenomenon observed in many markets. We also show that the binomial tree model can be obtained from a CA rule. Thus, CA models are suitable tools to generalize the standard theories of option pricing.

  13. Collective behavior of stock price movements in an emerging market

    NASA Astrophysics Data System (ADS)

    Pan, Raj Kumar; Sinha, Sitabhra

    2007-10-01

    To investigate the universality of the structure of interactions in different markets, we analyze the cross-correlation matrix C of stock price fluctuations in the National Stock Exchange (NSE) of India. We find that this emerging market exhibits strong correlations in the movement of stock prices compared to developed markets, such as the New York Stock Exchange (NYSE). This is shown to be due to the dominant influence of a common market mode on the stock prices. By comparison, interactions between related stocks, e.g., those belonging to the same business sector, are much weaker. This lack of distinct sector identity in emerging markets is explicitly shown by reconstructing the network of mutually interacting stocks. Spectral analysis of C for NSE reveals that, the few largest eigenvalues deviate from the bulk of the spectrum predicted by random matrix theory, but they are far fewer in number compared to, e.g., NYSE. We show this to be due to the relative weakness of intrasector interactions between stocks, compared to the market mode, by modeling stock price dynamics with a two-factor model. Our results suggest that the emergence of an internal structure comprising multiple groups of strongly coupled components is a signature of market development.

  14. An analysis of strategic price setting in retail gasoline markets

    NASA Astrophysics Data System (ADS)

    Jaureguiberry, Florencia

    This dissertation studies price-setting behavior in the retail gasoline industry. The main questions addressed are: How important is a retail station's brand and proximity to competitors when retail stations set price? How do retailers adjust their pricing when they cater to consumers who are less aware of competing options or have less discretion over where they purchase gasoline? These questions are explored in two separate analyses using a unique datasets containing retail pricing behavior of stations in California and in 24 different metropolitan areas. The evidence suggests that brand and location generate local market power for gasoline stations. After controlling for market and station characteristics, the analysis finds a spread of 11 cents per gallon between the highest and the lowest priced retail gasoline brands. The analysis also indicates that when the nearest competitor is located over 2 miles away as opposed to next door, consumers will pay an additional 1 cent per gallon of gasoline. In order to quantify the significance of local market power, data for stations located near major airport rental car locations are utilized. The presumption here is that rental car users are less aware or less sensitive to fueling options near the rental car return location and are to some extent "captured consumers". Retailers located near rental car locations have incentives to adjust their pricing strategies to exploit this. The analysis of pricing near rental car locations indicates that retailers charge prices that are 4 cent per gallon higher than other stations in the same metropolitan area. This analysis is of interest to regulators who are concerned with issues of consolidation, market power, and pricing in the retail gasoline industry. This dissertation concludes with a discussion of the policy implications of the empirical analysis.

  15. Study on Market Stability and Price Limit of Chinese Stock Index Futures Market: An Agent-Based Modeling Perspective.

    PubMed

    Xiong, Xiong; Nan, Ding; Yang, Yang; Yongjie, Zhang

    2015-01-01

    This paper explores a method of managing the risk of the stock index futures market and the cross-market through analyzing the effectiveness of price limits on the Chinese Stock Index 300 futures market. We adopt a cross-market artificial financial market (include the stock market and the stock index futures market) as a platform on which to simulate the operation of the CSI 300 futures market by changing the settings of price limits. After comparing the market stability under different price limits by appropriate liquidity and volatility indicators, we find that enhancing price limits or removing price limits both play a negative impact on market stability. In contrast, a positive impact exists on market stability if the existing price limit is maintained (increase of limit by10%, down by 10%) or it is broadened to a proper extent. Our study provides reasonable advice for a price limit setting and risk management for CSI 300 futures. PMID:26571135

  16. Study on Market Stability and Price Limit of Chinese Stock Index Futures Market: An Agent-Based Modeling Perspective

    PubMed Central

    2015-01-01

    This paper explores a method of managing the risk of the stock index futures market and the cross-market through analyzing the effectiveness of price limits on the Chinese Stock Index 300 futures market. We adopt a cross-market artificial financial market (include the stock market and the stock index futures market) as a platform on which to simulate the operation of the CSI 300 futures market by changing the settings of price limits. After comparing the market stability under different price limits by appropriate liquidity and volatility indicators, we find that enhancing price limits or removing price limits both play a negative impact on market stability. In contrast, a positive impact exists on market stability if the existing price limit is maintained (increase of limit by10%, down by 10%) or it is broadened to a proper extent. Our study provides reasonable advice for a price limit setting and risk management for CSI 300 futures. PMID:26571135

  17. 48 CFR 19.202-6 - Determination of fair market price.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... market price. 19.202-6 Section 19.202-6 Federal Acquisition Regulations System FEDERAL ACQUISITION REGULATION SOCIOECONOMIC PROGRAMS SMALL BUSINESS PROGRAMS Policies 19.202-6 Determination of fair market price. (a) The fair market price shall be the price achieved in accordance with the reasonable...

  18. 48 CFR 19.202-6 - Determination of fair market price.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... market price. 19.202-6 Section 19.202-6 Federal Acquisition Regulations System FEDERAL ACQUISITION REGULATION SOCIOECONOMIC PROGRAMS SMALL BUSINESS PROGRAMS Policies 19.202-6 Determination of fair market price. (a) The fair market price shall be the price achieved in accordance with the reasonable...

  19. 48 CFR 19.202-6 - Determination of fair market price.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... market price. 19.202-6 Section 19.202-6 Federal Acquisition Regulations System FEDERAL ACQUISITION REGULATION SOCIOECONOMIC PROGRAMS SMALL BUSINESS PROGRAMS Policies 19.202-6 Determination of fair market price. (a) The fair market price shall be the price achieved in accordance with the reasonable...

  20. 48 CFR 19.202-6 - Determination of fair market price.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... market price. 19.202-6 Section 19.202-6 Federal Acquisition Regulations System FEDERAL ACQUISITION REGULATION SOCIOECONOMIC PROGRAMS SMALL BUSINESS PROGRAMS Policies 19.202-6 Determination of fair market price. (a) The fair market price shall be the price achieved in accordance with the reasonable...

  1. Green Pricing Program Marketing Expenditures: Finding the Right Balance

    SciTech Connect

    Friedman, B.; Miller, M.

    2009-09-01

    In practice, it is difficult to determine the optimal amount to spend on marketing and administering a green pricing program. Budgets for marketing and administration of green pricing programs are a function of several factors: the region of the country; the size of the utility service area; the customer base and media markets encompassed within that service area; the point or stage in the lifespan of the program; and certainly, not least, the utility's commitment to and goals for the program. All of these factors vary significantly among programs. This report presents data on programs that have funded both marketing and program administration. The National Renewable Energy Laboratory (NREL) gathers the data annually from utility green pricing program managers. Programs reporting data to NREL spent a median of 18.8% of program revenues on marketing their programs in 2008 and 16.6% in 2007. The smallest utilities (those with less than 25,000 in their eligible customer base) spent 49% of revenues on marketing, significantly more than the overall median. This report addresses the role of renewable energy credit (REC) marketers and start-up costs--and the role of marketing, generally, in achieving program objectives, including expansion of renewable energy.

  2. 78 FR 70080 - Market Dominant Price Adjustment

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-22

    ... average for First-Class Mail. The unit price for the least presorted automation category increases by 1..., 3-Digit, and 5- Digit automation presort letters are 2.5 percent, 1.3 percent, 1.3 percent, and 1.7...-automation and Automation). Id. Flats. The overall increase for Flats is 1.267 percent. Id. at 22....

  3. Spillover effects of oil price shocks across stock markets

    NASA Astrophysics Data System (ADS)

    Ng, Zhan Jian; Sek, Siok Kun

    2014-12-01

    Oil price shock can impose detrimental effects to an economy. In this study, we empirically study the spillover effects of oil price shock on determining volatilities of stock markets across the main oil importing and oil producing countries. In particular, we are interested to compare the relative impact of oil price shock on the volatilities of stock markets and how each stock market reacts to oil price shock for oil importing and oil producing countries. We focus the study in four main oil importer and four oil producers respectively using the daily data starting from January 2009 to December 2013. The multivariate GARCH(1,1) model is applied for the purpose of this study. The results of the study suggest that there exist spillover effect between crude oil price and stock returns for all the countries. The short run persistency of spillover effect in oil-exporting countries is lower than oil-importing countries but the long run persistency of spillover effect in oil-exporting countries is higher than oil-importing countries. In general the short run persistency is smaller and the long run persistency is very high. The results hold for volatility of oil price and stock returns and also spillover volatility in all countries.

  4. 7 CFR 1427.25 - Determination of the prevailing world market price and the adjusted world price for upland cotton.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    .../32-inch) cotton, CFR (cost and freight) Far East, the prevailing world market price for upland cotton... lowest-priced growths of the growths quoted for M 13/32-inch cotton, CFR Far East. (2) During the period... growths quoted for M 13/32-inch cotton, CFR Far East, the prevailing world market price for upland...

  5. 7 CFR 1427.25 - Determination of the prevailing world market price and the adjusted world price for upland cotton.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    .../32-inch) cotton, CFR (cost and freight) Far East, the prevailing world market price for upland cotton... lowest-priced growths of the growths quoted for M 13/32-inch cotton, CFR Far East. (2) During the period... growths quoted for M 13/32-inch cotton, CFR Far East, the prevailing world market price for upland...

  6. 7 CFR 1427.25 - Determination of the prevailing world market price and the adjusted world price for upland cotton.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    .../32-inch) cotton, CFR (cost and freight) Far East, the prevailing world market price for upland cotton... lowest-priced growths of the growths quoted for M 13/32-inch cotton, CFR Far East. (2) During the period... growths quoted for M 13/32-inch cotton, CFR Far East, the prevailing world market price for upland...

  7. 7 CFR 1427.25 - Determination of the prevailing world market price and the adjusted world price for upland cotton.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    .../32-inch) cotton, CFR (cost and freight) Far East, the prevailing world market price for upland cotton... lowest-priced growths of the growths quoted for M 13/32-inch cotton, CFR Far East. (2) During the period... growths quoted for M 13/32-inch cotton, CFR Far East, the prevailing world market price for upland...

  8. 7 CFR 1427.25 - Determination of the prevailing world market price and the adjusted world price for upland cotton.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    .../32-inch) cotton, CFR (cost and freight) Far East, the prevailing world market price for upland cotton... lowest-priced growths of the growths quoted for M 13/32-inch cotton, CFR Far East. (2) During the period... growths quoted for M 13/32-inch cotton, CFR Far East, the prevailing world market price for upland...

  9. Spectral method for pricing options in illiquid markets

    NASA Astrophysics Data System (ADS)

    Pindza, Edson; Patidar, Kailash C.

    2012-09-01

    We present a robust numerical method to solve a problem of pricing options in illiquid markets. The governing equation is described by a nonlinear Black-Scholes partial differential equation (BS-PDE) of the reaction-diffusion-advection type. To discretise this BS-PDE numerically, we use a spectral method in the asset (spatial) direction and couple it with a fifth order RADAU method for the discretisation in the time direction. Numerical experiments illustrate that our approach is very efficient for pricing financial options in illiquid markets.

  10. 7 CFR 27.94 - Spot markets for contract settlement purposes.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 2 2013-01-01 2013-01-01 false Spot markets for contract settlement purposes. 27.94 Section 27.94 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE COMMODITY STANDARDS AND STANDARD CONTAINER REGULATIONS COTTON...

  11. 7 CFR 27.94 - Spot markets for contract settlement purposes.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 2 2011-01-01 2011-01-01 false Spot markets for contract settlement purposes. 27.94 Section 27.94 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE COMMODITY STANDARDS AND STANDARD CONTAINER REGULATIONS COTTON...

  12. 7 CFR 27.94 - Spot markets for contract settlement purposes.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Spot markets for contract settlement purposes. 27.94 Section 27.94 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE COMMODITY STANDARDS AND STANDARD CONTAINER REGULATIONS COTTON...

  13. 7 CFR 27.94 - Spot markets for contract settlement purposes.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 2 2012-01-01 2012-01-01 false Spot markets for contract settlement purposes. 27.94 Section 27.94 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE COMMODITY STANDARDS AND STANDARD CONTAINER REGULATIONS COTTON...

  14. 7 CFR 27.94 - Spot markets for contract settlement purposes.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 2 2014-01-01 2014-01-01 false Spot markets for contract settlement purposes. 27.94 Section 27.94 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE COMMODITY STANDARDS AND STANDARD CONTAINER REGULATIONS COTTON...

  15. Experiences with energy prices in a deregulated market

    SciTech Connect

    Rebellon, P.

    1999-11-01

    The energy market was deregulated in Colombia back in 1994. Since then, an increasing share of energy has been traded at prices dictated essentially by market considerations, not always coherent with sound technical and commercial practices. This paper is based on the author`s experiences with the negotiation of a number of contracts for energy purchase between 1994 and 1997. It starts with a brief presentation of the Colombian power system, the key players and the structure of energy prices before the market was deregulated. An overview of the conditions that led to power shortages in 1992 is included. The document continues with the description of the operation of the Colombian deregulated energy market, as well as the available contracts and energy transactions. Then, the evolution of the energy bid prices submitted by different generating companies during the period 1994--1997 is developed in detail. The final part of the paper discusses the effects of the energy prices in the operation of the system; the financial impact for IPPs; the economic signals given to the market; and the overall performance of the national power system.

  16. Estimating Price Elasticity using Market-Level Appliance Data

    SciTech Connect

    Fujita, K. Sydny

    2015-08-04

    This report provides and update to and expansion upon our 2008 LBNL report “An Analysis of the Price Elasticity of Demand for Appliances,” in which we estimated an average relative price elasticity of -0.34 for major household appliances (Dale and Fujita 2008). Consumer responsiveness to price change is a key component of energy efficiency policy analysis; these policies influence consumer purchases through price both explicitly and implicitly. However, few studies address appliance demand elasticity in the U.S. market and public data sources are generally insufficient for rigorous estimation. Therefore, analysts have relied on a small set of outdated papers focused on limited appliance types, assuming long-term elasticities estimated for other durables (e.g., vehicles) decades ago are applicable to current and future appliance purchasing behavior. We aim to partially rectify this problem in the context of appliance efficiency standards by revisiting our previous analysis, utilizing data released over the last ten years and identifying additional estimates of durable goods price elasticities in the literature. Reviewing the literature, we find the following ranges of market-level price elasticities: -0.14 to -0.42 for appliances; -0.30 to -1.28 for automobiles; -0.47 to -2.55 for other durable goods. Brand price elasticities are substantially higher for these product groups, with most estimates -2.0 or more elastic. Using market-level shipments, sales value, and efficiency level data for 1989-2009, we run various iterations of a log-log regression model, arriving at a recommended range of short run appliance price elasticity between -0.4 and -0.5, with a default value of -0.45.

  17. Effects of reference pricing in pharmaceutical markets: a review.

    PubMed

    Galizzi, Matteo Maria; Ghislandi, Simone; Miraldo, Marisa

    2011-01-01

    This work aims to provide a systematic and updated survey of original scientific studies on the effect of the introduction of reference pricing (RP) policies in Organisation for Economic Co-operation and Development (OECD) countries. We searched PubMed, EconLit and Web of Knowledge for articles on RP. We reviewed studies that met the inclusion criteria established in the search strategy. From a total of 468 references, we selected the 35 that met all of the inclusion criteria. Some common themes emerged in the literature. The first was that RP was generally associated with a decrease in the prices of the drugs subject to the policy. In particular, price drops seem to have been experienced in virtually every country that implemented a generic RP (GRP) policy. A GRP policy applies only to products with expired patents and generic competition, and clusters drugs according to chemical equivalence (same form and active compound). More significant price decreases were observed in the sub-markets in which drugs were already facing generic competition prior to RP. Price drops varied widely according to the amount of generic competition and industrial strategies: brand-named drugs originally priced above RP values decreased their prices to a greater extent. A second common theme was that both therapeutic RP (TRP) and GRP have been associated with significant and consistent savings in the first years of application. A third general result is that generic market shares significantly increased whenever the firms producing brand-named drugs did not adopt one of the following strategies: lowering prices to RP values; launching new dosages and/or formulations; or marketing substitute drugs still under patent protection. Finally, concerning TRP, although more evidence is needed, studies based on a large number of patient-level observations showed no association between the RP policy and health outcomes. PMID:21142276

  18. Analysis of price fluctuations in futures exchange markets

    NASA Astrophysics Data System (ADS)

    Lim, Gyuchang; Kim, SooYong; Scalas, Enrico; Kim, Kyungsik; Chang, Ki-Ho

    2008-05-01

    We show that the fluctuations of the tick-by-tick logarithmic price in a futures market can be described in terms of the Fokker-Planck equation (FPE). We calculate the corresponding drift and diffusion coefficients and argue that these values can contain some information pertaining to the market state. It is particularly showed that the Korean treasury bond (KTB) futures is well described by a FPE and has a similar structure to turbulence.

  19. Essays on pricing electricity and electricity derivatives in deregulated markets

    NASA Astrophysics Data System (ADS)

    Popova, Julia

    2008-10-01

    This dissertation is composed of four essays on the behavior of wholesale electricity prices and their derivatives. The first essay provides an empirical model that takes into account the spatial features of a transmission network on the electricity market. The spatial structure of the transmission grid plays a key role in determining electricity prices, but it has not been incorporated into previous empirical models. The econometric model in this essay incorporates a simple representation of the transmission system into a spatial panel data model of electricity prices, and also accounts for the effect of dynamic transmission system constraints on electricity market integration. Empirical results using PJM data confirm the existence of spatial patterns in electricity prices and show that spatial correlation diminishes as transmission lines become more congested. The second essay develops and empirically tests a model of the influence of natural gas storage inventories on the electricity forward premium. I link a model of the effect of gas storage constraints on the higher moments of the distribution of electricity prices to a model of the effect of those moments on the forward premium. Empirical results using PJM data support the model's predictions that gas storage inventories sharply reduce the electricity forward premium when demand for electricity is high and space-heating demand for gas is low. The third essay examines the efficiency of PJM electricity markets. A market is efficient if prices reflect all relevant information, so that prices follow a random walk. The hypothesis of random walk is examined using empirical tests, including the Portmanteau, Augmented Dickey-Fuller, KPSS, and multiple variance ratio tests. The results are mixed though evidence of some level of market efficiency is found. The last essay investigates the possibility that previous researchers have drawn spurious conclusions based on classical unit root tests incorrectly applied to

  20. Crude oil prices: Are our oil markets too tight?

    SciTech Connect

    Simmons, M.R.

    1997-02-01

    The answer to the question posed in the title is that tightness in the market will surely prevail through 1997. And as discussed herein, with worldwide demand expected to continue to grow, there will be a strong call on extra oil supply. Meeting those demands, however, will not be straightforward--as many observers wrongly believe--considering the industry`s practice of maintaining crude stocks at ``Just in time`` inventory levels. Further, impact will be felt from the growing rig shortage, particularly for deepwater units, and down-stream capacity limits. While these factors indicate 1997 should be another good year for the service industry, it is difficult to get any kind of consensus view from the oil price market. With most observers` information dominated by the rarely optimistic futures price of crude, as reflected by the NYMEX, the important fact is that oil prices have remained stable for three years and increased steadily through 1996.

  1. The Effects of Market Structure on Television News Pricing.

    ERIC Educational Resources Information Center

    Wirth, Michael O.; Wollert, James A.

    Multiple regression techniques were used to examine the business side of local television news operations for November 1978. Research questions examined the effect of several variables on local television news prices (advertising rates), including type of ownership, network affiliation/signal type, market size, cable network penetration, market…

  2. Creating successful price and placement strategies for social marketing.

    PubMed

    Thackeray, Rosemary; Brown, Kelli R McCormack

    2010-03-01

    A successful marketing strategy includes the design of a marketing mix with the right combination of products, offered at the right price, in the right place, and then promoted in such a way that makes it easy and rewarding for the individual to change his or her behavior. A price is incurred in exchange for receiving a bundle of benefits. The social marketer can use various pricing tactics to make the desired behavior appear to have fewer costs and more benefits while making the undesired behavior to have less benefit and greater cost. Place is where and when the target population will perform the desired behavior, purchase or obtain a tangible product, and/or receive associated services. Involving partners in the placement strategy can make products more accessible and increase opportunities for people to perform a behavior. Strategies for making the product available at a desirable price and in places that are convenient are integral to the overall social marketing plan to facilitate behavior change. PMID:20400655

  3. 7 CFR 1220.115 - Net market price.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... AGREEMENTS AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE SOYBEAN PROMOTION, RESEARCH, AND CONSUMER INFORMATION Soybean Promotion and Research Order Definitions § 1220.115 Net market price. The term... other value received by a producer for soybeans after adjustments for any premium or discount based...

  4. 7 CFR 1220.115 - Net market price.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... AGREEMENTS AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE SOYBEAN PROMOTION, RESEARCH, AND CONSUMER INFORMATION Soybean Promotion and Research Order Definitions § 1220.115 Net market price. The term... other value received by a producer for soybeans after adjustments for any premium or discount based...

  5. 7 CFR 1220.115 - Net market price.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... AGREEMENTS AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE SOYBEAN PROMOTION, RESEARCH, AND CONSUMER INFORMATION Soybean Promotion and Research Order Definitions § 1220.115 Net market price. The term... other value received by a producer for soybeans after adjustments for any premium or discount based...

  6. 7 CFR 1220.115 - Net market price.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... AGREEMENTS AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE SOYBEAN PROMOTION, RESEARCH, AND CONSUMER INFORMATION Soybean Promotion and Research Order Definitions § 1220.115 Net market price. The term... other value received by a producer for soybeans after adjustments for any premium or discount based...

  7. 7 CFR 1220.115 - Net market price.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... AGREEMENTS AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE SOYBEAN PROMOTION, RESEARCH, AND CONSUMER INFORMATION Soybean Promotion and Research Order Definitions § 1220.115 Net market price. The term... other value received by a producer for soybeans after adjustments for any premium or discount based...

  8. Endogenous Market-Clearing Prices and Reference Point Adaptation

    NASA Astrophysics Data System (ADS)

    Dragicevic, Arnaud Z.

    When prices depend on the submitted bids, i.e. with endogenous market-clearing prices in repeated-round auction mechanisms, the assumption of independent private values that underlines the property of incentive-compatibility is to be brought into question; even if these mechanisms provide active involvement and market learning. In its orthodox view, adaptive bidding behavior imperils incentive-compatibility. We relax the assumption of private values' independence in the repeated-round auctions, when the market-clearing prices are made public at the end of each round. Instead of using game-theory learning models, we introduce a behavioral model that shows that bidders bid according to the anchoring-and-adjustment heuristic, which neither ignores the rationality and incentive-compatibility constraints, nor rejects the posted prices issued from others' bids. Bidders simply weight information at their disposal and adjust their discovered value using reference points encoded in the sequential price weighting function. Our model says that bidders and offerers are sincere boundedly rational utility maximizers. It lies between evolutionary dynamics and adaptive heuristics and we model the concept of inertia as high weighting of the anchor, which stands for truthful bidding and high regard to freshly discovered preferences. Adjustment means adaptive rule based on adaptation of the reference point in the direction of the posted price. It helps a bidder to maximize her expected payoff, which is after all the only purpose that matters to rationality. The two components simply suggest that sincere bidders are boundedly rational. Furthermore, by deviating from their anchor in the direction of the public signal, bidders operate in a correlated equilibrium. The correlation between bids comes from the commonly observed history of play and each bidder's actions are determined by the history. Bidders are sincere if they have limited memory and confine their reference point adaptation

  9. The increasing necessity for market-based pharmaceutical prices.

    PubMed

    Calfee, J E

    2000-01-01

    In most markets, research and development are driven by expected prices, and those prices are determined mainly by consumer willingness to pay for the potential benefits of new products. In the pharmaceutical market, however, the dominant role of government and tax-induced insurance has tended to create a wedge between expected prices and consumer willingness to pay to cure or prevent disease. This distorts investment decisions, tending to cause underinvestment. Recent developments have expanded this gap. The greatly enhanced efficiency of pharmaceutical research has permitted the development of products that provide long term prevention and quality-of-life improvements. While some of these new products can delay or obviate chronic conditions of old age, they do not necessarily reduce healthcare costs (at least not in the short or medium run). Most of the massive benefits of the new research streams are therefore pure consumer benefits, with little benefit for the acute care activities that are the core functions of European and American healthcare delivery or payment systems. These new products are very expensive, despite increased research efficiency, because that efficiency has permitted the industry to address difficult problems that had previously been impervious to solution. To serve consumers well, healthcare providers would have to increase expenditures and prices or taxes to cover these added pharmaceutical costs. But the new products are likely to be perceived mainly as cost increases. The effect is that healthcare entities will become less suited to serve as agents for consumers. One reason is that the most natural, reliable and widely used metrics for evaluating new drugs--healthcare savings and acute care improvements--will be increasingly irrelevant. The implication is that, to a much greater extent than in the past, only market-determined prices can provide adequate signals for future pharmaceutical research investment. The failure to use market

  10. Price Analysis of Railway Freight Transport under Marketing Mechanism

    NASA Astrophysics Data System (ADS)

    Shi, Ying; Fang, Xiaoping; Chen, Zhiya

    Regarding the problems in the reform of the railway tariff system and the pricing of the transport, by means of assaying the influence of the price elasticity on the artifice used for price, this article proposed multiple regressive model which analyzed price elasticity quantitatively. This model conclude multi-factors which influences on the price elasticity, such as the averagely railway freight charge, the averagely freight haulage of proximate supersede transportation mode, the GDP per capita in the point of origin, and a series of dummy variable which can reflect the features of some productive and consume demesne. It can calculate the price elasticity of different classes in different domains, and predict the freight traffic volume on different rate levels. It can calculate confidence-level, and evaluate the relevance of each parameter to get rid of irrelevant or little relevant variables. It supplied a good theoretical basis for directing the pricing of transport enterprises in market economic conditions, which is suitable for railway freight, passenger traffic and other transportation manner as well. SPSS (Statistical Package for the Social Science) software was used to calculate and analysis the example. This article realized the calculation by HYFX system(Ministry of Railways fund).

  11. Beneficiary price sensitivity in the Medicare prescription drug plan market.

    PubMed

    Frakt, Austin B; Pizer, Steven D

    2010-01-01

    The Medicare stand-alone prescription drug plan (PDP) came into existence in 2006 as part of the Medicare prescription drug benefit. It is the most popular plan type among Medicare drug plans and large numbers of plans are available to all beneficiaries. In this article we present the first analysis of beneficiary price sensitivity in the PDP market. Our estimate of elasticity of enrollment with respect to premium, -1.45, is larger in magnitude than has been found in the Medicare HMO market. This high degree of beneficiary price sensitivity for PDPs is consistent with relatively low product differentiation, low fixed costs of entry in the PDP market, and the fact that, in contrast to changing HMOs, beneficiaries can select a PDP without disrupting doctor-patient relationships. PMID:19191252

  12. Comprehensive tobacco marketing restrictions: promotion, packaging, price and place

    PubMed Central

    Henriksen, Lisa

    2014-01-01

    Evidence of the causal role of marketing in the tobacco epidemic and the advent of the WHO Framework Convention on Tobacco Control have inspired more than half the countries in the world to ban some forms of tobacco marketing. This paper briefly describes the ways in which cigarette marketing is restricted and the tobacco industry's efforts to subvert restrictions. It reviews what is known about the impact of marketing regulations on smoking by adults and adolescents. It also addresses what little is known about the impact of marketing bans in relation to concurrent population-level interventions, such as price controls, anti-tobacco media campaigns and smoke-free laws. Point of sale is the least regulated channel and research is needed to address the immediate and long-term consequences of policies to ban retail advertising and pack displays. Comprehensive marketing restrictions require a global ban on all forms of promotion, elimination of packaging and price as marketing tools, and limitations on the quantity, type and location of tobacco retailers. PMID:22345238

  13. The lead market: outlook for the global market and prices

    NASA Astrophysics Data System (ADS)

    Smith, D.

    This study of the lead market examines four areas in depth. Western World consumption is considered first before turning to the role of Chinese exports. Two factors on the supply side—secondary production and mining—are then examined.

  14. Customer response to day-ahead wholesale market electricity prices: Case study of RTP program experience in New York

    SciTech Connect

    Goldman, C.; Hopper, N.; Sezgen, O.; Moezzi, M.; Bharvirkar, R.; Neenan, B.; Boisvert, R.; Cappers, P.; Pratt, D.

    2004-07-01

    There is growing interest in policies, programs and tariffs that encourage customer loads to provide demand response (DR) to help discipline wholesale electricity markets. Proposals at the retail level range from eliminating fixed rate tariffs as the default service for some or all customer groups to reinstituting utility-sponsored load management programs with market-based inducements to curtail. Alternative rate designs include time-of-use (TOU), day-ahead real-time pricing (RTP), critical peak pricing, and even pricing usage at real-time market balancing prices. Some Independent System Operators (ISOs) have implemented their own DR programs whereby load curtailment capabilities are treated as a system resource and are paid an equivalent value. The resulting load reductions from these tariffs and programs provide a variety of benefits, including limiting the ability of suppliers to increase spot and long-term market-clearing prices above competitive levels (Neenan et al., 2002; Boren stein, 2002; Ruff, 2002). Unfortunately, there is little information in the public domain to characterize and quantify how customers actually respond to these alternative dynamic pricing schemes. A few empirical studies of large customer RTP response have shown modest results for most customers, with a few very price-responsive customers providing most of the aggregate response (Herriges et al., 1993; Schwarz et al., 2002). However, these studies examined response to voluntary, two-part RTP programs implemented by utilities in states without retail competition.1 Furthermore, the researchers had limited information on customer characteristics so they were unable to identify the drivers to price response. In the absence of a compelling characterization of why customers join RTP programs and how they respond to prices, many initiatives to modernize retail electricity rates seem to be stymied.

  15. 7 CFR 1437.11 - Average market price and payment factors.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... ASSISTANCE PROGRAM General Provisions § 1437.11 Average market price and payment factors. (a) An average market price will be used to calculate assistance under this part and will be: (1) A dollar value per the... 7 Agriculture 10 2010-01-01 2010-01-01 false Average market price and payment factors....

  16. Market Distortion and the Tuition Pricing Mechanism of Higher Education in China

    ERIC Educational Resources Information Center

    Huang, Wei; Wu, Haiquan

    2008-01-01

    Higher education in the market economy is inevitable affected by the higher education market. The tuition of higher education in china had become the personal price performance of higher education in certain degrees and exerts some certain functions of price mechanism. Because the higher education market distortion that tuition pricing cannot…

  17. Power systems locational marginal pricing in deregulated markets

    NASA Astrophysics Data System (ADS)

    Wang, Hui-Fung Francis

    Since the beginning of the 1990s, the electricity business is transforming from a vertical integrating business to a competitive market operations. The generation, transmission, distribution subsystem of an electricity utility are operated independently as Genco (generation subsystem), Transco (transmission subsystem), and Distco (distribution subsystem). This trend promotes more economical inter- and intra regional transactions to be made by the participating companies and the users of electricity to achieve the intended objectives of deregulation. There are various types of electricity markets that are implemented in the North America in the past few years. However, transmission congestion management becomes a key issue in the electricity market design as more bilateral transactions are traded across long distances competing for scarce transmission resources. It directly alters the traditional concept of energy pricing and impacts the bottom line, revenue and cost of electricity, of both suppliers and buyers. In this research, transmission congestion problem in a deregulated market environment is elucidated by implementing by the Locational Marginal Pricing (LMP) method. With a comprehensive understanding of the LMP method, new mathematical tools will aid electric utilities in exploring new business opportunities are developed and presented in this dissertation. The dissertation focuses on the development of concept of (LMP) forecasting and its implication to the market participants in deregulated market. Specifically, we explore methods of developing fast LMP calculation techniques that are differ from existing LMPs. We also explore and document the usefulness of the proposed LMP in determining electricity pricing of a large scale power system. The developed mathematical tools use of well-known optimization techniques such as linear programming that are support by several flow charts. The fast and practical security constrained unit commitment methods are the

  18. How the spot market for Brent crude works

    SciTech Connect

    Nasmyth, J.; Binks, A.

    1986-04-01

    While terms like paper barrel, forward position and daisy chain are bandied about in the media, few understand the Brent forward market, which last year handled 1.5 billion bbl of oil. The market has no address, no rule book and no clearing house. Anyone with $18 million and a gambler's instinct can play. Immense personal fortunes have been made and lost on paper barrels, but the market survives as a means of limiting risk and tax liability for North Sea producers.

  19. Empirical investigation of stock price dynamics in an emerging market

    NASA Astrophysics Data System (ADS)

    Palágyi, Zoltán; Mantegna, Rosario N.

    1999-07-01

    We study the development of an emerging market - the Budapest Stock Exchange - by investigating the time evolution of some statistical properties of heavily traded stocks. Moving quarter by quarter over a period of two and a half years we analyze the scaling properties of the standard deviation of intra-day log-price changes. We observe scaling using both seconds and ticks as units of time. For the investigated stocks a Levy shape is a good approximation to the probability density function of tick-by-tick log-price changes in each quarter: the index of the distribution follows an increasing trend, suggesting it could be used as a measure of market efficiency.

  20. ESTIMATING WELFARE IN INSURANCE MARKETS USING VARIATION IN PRICES*

    PubMed Central

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

    2009-01-01

    We provide a graphical illustration of how standard consumer and producer theory can be used to quantify the welfare loss associated with inefficient pricing in insurance markets with selection. We then show how this welfare loss can be estimated empirically using identifying variation in the price of insurance. Such variation, together with quantity data, allows us to estimate the demand for insurance. The same variation, together with cost data, allows us to estimate how insurer’s costs vary as market participants endogenously respond to price. The slope of this estimated cost curve provides a direct test for both the existence and nature of selection, and the combination of demand and cost curves can be used to estimate welfare. We illustrate our approach by applying it to data on employer-provided health insurance from one specific company. We detect adverse selection but estimate that the quantitative welfare implications associated with inefficient pricing in our particular application are small, in both absolute and relative terms. PMID:21218182

  1. 7 CFR 27.93 - Bona fide spot markets.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ..., East Texas and Oklahoma, West Texas, Desert Southwest and San Joaquin Valley. Such markets will... counties. San Joaquin Valley All California counties except those included in the Desert Southwest market. ..., Erath, Comanche, Mills, San Saba, Mason, Sutton, Edwards, Kinney, Maverick, Webb, Zapata, Star...

  2. 7 CFR 27.93 - Bona fide spot markets.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ..., East Texas and Oklahoma, West Texas, Desert Southwest and San Joaquin Valley. Such markets will... counties. San Joaquin Valley All California counties except those included in the Desert Southwest market. ..., Erath, Comanche, Mills, San Saba, Mason, Sutton, Edwards, Kinney, Maverick, Webb, Zapata, Star...

  3. 7 CFR 27.93 - Bona fide spot markets.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ..., East Texas and Oklahoma, West Texas, Desert Southwest and San Joaquin Valley. Such markets will... counties. San Joaquin Valley All California counties except those included in the Desert Southwest market. ..., Parker, Erath, Comanche, Mills, San Saba, Mason, Sutton, Edwards, Kinney, Maverick, Webb, Zapata,...

  4. 7 CFR 27.93 - Bona fide spot markets.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ..., East Texas and Oklahoma, West Texas, Desert Southwest and San Joaquin Valley. Such markets will... counties. San Joaquin Valley All California counties except those included in the Desert Southwest market. ..., Erath, Comanche, Mills, San Saba, Mason, Sutton, Edwards, Kinney, Maverick, Webb, Zapata, Star...

  5. Market power in electric power markets: Indications of competitiveness in spatial prices for wholesale electricity

    NASA Astrophysics Data System (ADS)

    Denton, Michael John

    The issue of market delineation and power in the wholesale electric energy market is explored using three separate approaches: two of these are analyses of spatial pricing data to explore the functional size of the markets, and the third is a series of experimental tests of the effects of different cost structures and market mechanisms on oligopoly strength in those markets. An equilibrium model of spatial network competition is shown to yield linear relationships between spatial prices. A data set comprising two years of spatial weekly peak and off-peak prices and weather for 6 locations in the Western States Coordinating Council and the Southwest Power Pool is subjected to a pairwise cointegration analysis. The use of dummy variables to account the the flow directions is found to significantly improve model performance. The second analytical technique utilizes the extraction of principal components from a spatial price correlation matrix to identify the extent of natural markets. One year of daily price observations for eleven locations within the WSCC is compiled and eigenvectors are extracted and subjected to oblique rotation, each of which is then interpreted as representing a separate geographic market. The results show that two distinct natural markets, correlated at 84%, account for over 96% of the variation in the spatial prices in the WSSC. Together, the findings support the assertion that the wholesale electricity market in the Western U.S. is large and highly competitive. The experimental analysis utilizes a radial three node network in which suppliers located at the outer nodes sell to buyers located at the central node. The parameterization captures the salient characteristics of the existing bulk power markets, and includes cyclical demand, transmission losses, as well as fixed and avoidable fixed costs for all agents. Treatments varied the number of sellers, the avoidable fixed cost structures, and the trading mechanism. Results indicated that

  6. High and varying prices for privately insured patients underscore hospital market power.

    PubMed

    White, Chapin; Bond, Amelia M; Reschovsky, James D

    2013-09-01

    Across 13 selected U.S. metropolitan areas, hospital prices for privately insured patients are much higher than Medicare payment rates and vary widely across and within markets, according to a study by the Center for Studying Health System Change (HSC) based on claims data for about 590,000 active and retired nonelderly autoworkers and their dependents. Across the 13 communities, aver­age hospital prices for privately insured patients are about one-and-a-half times Medicare rates for inpatient care and two times what Medicare pays for outpa­tient care. Within individual communities, prices vary widely, with the highest-priced hospital typically paid 60 percent more for inpatient services than the lowest-priced hospital. The price gap within markets is even greater for hospital outpatient care, with the highest-priced hospital typically paid nearly double the lowest-priced hospital. In contrast to the wide variation in hospital prices for pri­vately insured patients across and within markets, prices for primary care physi­cian services generally are close to Medicare rates and vary little within markets. Prices for specialist physician services, however, are higher relative to Medicare and vary more across and within markets. Of the 13 markets, five are in Michigan, which has an unusually concentrated private insurance market, with one insurer commanding a 70-percent market share. Despite the presence of a dominant insurer, almost all Michigan hospi­tals command prices that are higher than Medicare, and some hospitals com­mand prices that are twice what Medicare pays. In the eight markets outside of Michigan, private insurers generally pay even higher hospital prices, with even wider gaps between high- and low-priced hospitals. The variation in hospital and specialist physician prices within communities underscores that some hospitals and physicians have significant market power to command high prices, even in markets with a dominant insurer. PMID:24073466

  7. On possible origins of trends in financial market price changes

    NASA Astrophysics Data System (ADS)

    Murakami, Ryo; Nakamura, Tomomichi; Kimura, Shin; Manabe, Masashi; Tanizawa, Toshihiro

    2015-02-01

    We investigate possible origins of the trends in financial markets, where trend we refer to as is a relatively long-term fluctuation observed in price change (price movement), using a simple deterministic threshold model that contains no external driving force term to generate trends forcibly. We find that the trend can be generated by this simple model without any external driving force. Furthermore, from thorough numerical simulations, we obtain two following results: (i) a trend of monotonic increase or decrease can be generated only by dealers' minuscule price updates for the next deal trying to follow an expected forthcoming direction of price change, (ii) non-monotonic trends spontaneously emerge when dealers cannot obtain accurate information about the number of dealers participating in the next deal. We conclude from these results that the emergence of trends is not necessarily generated by an external driving force but by a natural outcome of the accumulation of minuscule price updates of individual dealers with insufficient information about the next deal.

  8. Impact of energy prices on agricultural and energy markets: an integrated modeling approach

    EPA Science Inventory

    The accelerated growth in biofuels markets has both created and reinforced linkages between agricultural and energy markets. This study investigates the dynamics in biofuel and agricultural markets under alternative price scenarios for both crude oil and natural gas. Two energy ...

  9. Kinetic market models with single commodity having price fluctuations

    NASA Astrophysics Data System (ADS)

    Chatterjee, A.; Chakrabarti, B. K.

    2006-12-01

    We study here numerically the behavior of an ideal gas like model of markets having only one non-consumable commodity. We investigate the behavior of the steady-state distributions of money, commodity and total wealth, as the dynamics of trading or exchange of money and commodity proceeds, with local (in time) fluctuations in the price of the commodity. These distributions are studied in markets with agents having uniform and random saving factors. The self-organizing features in money distribution are similar to the cases without any commodity (or with consumable commodities), while the commodity distribution shows an exponential decay. The wealth distribution shows interesting behavior: gamma like distribution for uniform saving propensity and has the same power-law tail, as that of the money distribution, for a market with agents having random saving propensity.

  10. A homotopy analysis method for the option pricing PDE in illiquid markets

    NASA Astrophysics Data System (ADS)

    E-Khatib, Youssef

    2012-09-01

    One of the shortcomings of the Black and Scholes model on option pricing is the assumption that trading the underlying asset does not affect the underlying asset price. This can happen in perfectly liquid markets and it is evidently not viable in markets with imperfect liquidity (illiquid markets). It is well-known that markets with imperfect liquidity are more realistic. Thus, the presence of price impact while studying options is very important. This paper investigates a solution for the option pricing PDE in illiquid markets using the homotopy analysis method.

  11. Three essays on pricing and risk management in electricity markets

    NASA Astrophysics Data System (ADS)

    Kotsan, Serhiy

    2005-07-01

    A set of three papers forms this dissertation. In the first paper I analyze an electricity market that does not clear. The system operator satisfies fixed demand at a fixed price, and attempts to minimize "cost" as indicated by independent generators' supply bids. No equilibrium exists in this situation, and the operator lacks information sufficient to minimize actual cost. As a remedy, we propose a simple efficient tax mechanism. With the tax, Nash equilibrium bids still diverge from marginal cost but nonetheless provide sufficient information to minimize actual cost, regardless of the tax rate or number of generators. The second paper examines a price mechanism with one price assigned for each level of bundled real and reactive power. Equilibrium allocation under this pricing approach raises system efficiency via better allocation of the reactive power reserves, neglected in the traditional pricing approach. Pricing reactive power should be considered in the bundle with real power since its cost is highly dependent on real power output. The efficiency of pricing approach is shown in the general case, and tested on the 30-bus IEEE network with piecewise linear cost functions of the generators. Finally the third paper addresses the problem of optimal investment in generation based on mean-variance portfolio analysis. It is assumed the investor can freely create a portfolio of shares in generation located on buses of the electrical network. Investors are risk averse, and seek to minimize the variance of the weighted average Locational Marginal Price (LMP) in their portfolio, and to maximize its expected value. I conduct simulations using a standard IEEE 68-bus network that resembles the New York - New England system and calculate LMPs in accordance with the PJM methodology for a fully optimal AC power flow solution. Results indicate that the network topology is a crucial determinant of the investment decision as line congestion makes it difficult to deliver power to

  12. Anti-correlation and multifractal features of Spain electricity spot market

    NASA Astrophysics Data System (ADS)

    Norouzzadeh, P.; Dullaert, W.; Rahmani, B.

    2007-07-01

    We use multifractal detrended fluctuation analysis (MF-DFA) to numerically investigate correlation, persistence, multifractal properties and scaling behavior of the hourly spot prices for the Spain electricity exchange-Compania O Peradora del Mercado de Electricidad (OMEL). Through multifractal analysis, fluctuations behavior, the scaling exponents and generalized Hurst exponents are studied. Moreover, contribution of fat-tailed probability distributions and nonlinear temporal correlations to multifractality is studied.

  13. Are Price Limits Effective? An Examination of an Artificial Stock Market

    PubMed Central

    Zhu, Tao; Li, Yuelei; Xiong, Xiong

    2016-01-01

    We investigated the inter-day effects of price limits policies that are employed in agent-based simulations. To isolate the impact of price limits from the impact of other factors, we built an artificial stock market with higher frequency price limits hitting. The trading mechanisms in this market are the same as the trading mechanisms in China’s stock market. Then, we designed a series of simulations with and without price limits policy. The results of these simulations demonstrate that both upper and lower price limits can cause a volatility spillover effect and a trading interference effect. The process of price discovery will be delayed if upper price limits are imposed on a stock market; however, this phenomenon does not occur when lower price limits are imposed. PMID:27513330

  14. Are Price Limits Effective? An Examination of an Artificial Stock Market.

    PubMed

    Zhang, Xiaotao; Ping, Jing; Zhu, Tao; Li, Yuelei; Xiong, Xiong

    2016-01-01

    We investigated the inter-day effects of price limits policies that are employed in agent-based simulations. To isolate the impact of price limits from the impact of other factors, we built an artificial stock market with higher frequency price limits hitting. The trading mechanisms in this market are the same as the trading mechanisms in China's stock market. Then, we designed a series of simulations with and without price limits policy. The results of these simulations demonstrate that both upper and lower price limits can cause a volatility spillover effect and a trading interference effect. The process of price discovery will be delayed if upper price limits are imposed on a stock market; however, this phenomenon does not occur when lower price limits are imposed. PMID:27513330

  15. 2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.

    SciTech Connect

    United States. Bonneville Power Administration.

    2006-07-01

    This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

  16. Flexible procurement strategies smooth price spikes

    SciTech Connect

    Gaalaas, T.

    2006-12-15

    Pace Global Energy Services has been predicting for some time that the recent peaks in spot coal prices were not sustainable and this has been borne out. The latest available data on coal supply and demand fundamental suggest that spot coal prices may decline even more rapidly than previously forecast. Price volatility over the last five years suggests that a flexible procurement strategy that is well adapted to volatile market conditions may be just as important as knowledge of market fundamentals. 3 figs.

  17. Essays on microgrids, asymmetric pricing and market power in electricity markets

    NASA Astrophysics Data System (ADS)

    Lo Prete, Chiara

    This dissertation presents four studies of the electricity industry. The first and second essays use economic-engineering models to assess different aspects of microgrid penetration in regional electricity markets, while the last two studies contain empirical analyses aimed at evaluating the performance of wholesale electricity markets. Chapter 2 develops a framework to quantify economic, environmental, efficiency and reliability impacts of different power production scenarios in a regional system, focusing on the interaction of microgrids with the existing transmission and distribution grid. The setting is the regional network formed by Belgium, France, Germany and the Netherlands. The study presents simulations of power market outcomes under various policies and levels of microgrid penetration, and evaluates them using a diverse set of metrics. Chapter 3 studies the interaction between a microgrid and a regulated electric utility in a regional electricity market. I consider the interaction among the utility, the microgrid developer and consumers in the framework of cooperative game theory (assuming exchangeable utility), and use regional market models to simulate scenarios in which microgrid introduction may or may not be socially beneficial. Under the assumptions of this chapter, customer participation is essential to the development of socially beneficial microgrids, while the utility has little or no gain from it. Discussed incentives to avoid that utilities block microgrid entry include additional revenue drivers related to microgrid connection, decoupling and performance-based mechanisms targeted at service quality. When prices are below marginal costs of utility provided power, microgrid development may be socially beneficial, but unprofitable for microgrid customers and its developer. By imposing lower charges and higher remuneration for its services, the regulator could ensure that microgrid value is positive, without adversely impacting the utility

  18. Customer response to day-ahead market hourly pricing: Choices andperformance

    SciTech Connect

    Hopper, Nicole; Goldman, Charles; Bharvirkar, Ranjit; Neenan,Bernie

    2005-10-10

    Real-time pricing (RTP) has been advocated to address extreme price volatility and market power in electricity markets. This study of Niagara Mohawk Power Corporation's largest customers analyzes their choices and performance in response to day-ahead, default-service RTP.Overall price response is modest: 119 customers are estimated to reduce their peak demand by about 10 percent at high prices. Manufacturing customers are most responsive with a price elasticity of 0.16, followed by government/education customers (0.11), while commercial/retail, healthcare and public works customers are, at present, relatively unresponsive. Within market segments, individual customer response varies significantly.

  19. Collective Behavior of Market Participants during Abrupt Stock Price Changes.

    PubMed

    Maskawa, Jun-Ichi

    2016-01-01

    Under uncertainty, human and animal collectives often respond stochastically to events they encounter. Human or animal individuals behave depending on others' actions, and sometimes follow choices that are sub-optimal for individuals. Such mimetic behaviors are enhanced during emergencies, creating collective behavior of a group. A stock market that is about to crash, as markets did immediately after the Lehman Brothers bankruptcy, provides illustrative examples of such behaviors. We provide empirical evidence proving the existence of collective behavior among stock market participants in emergent situations. We investigated the resolution of extreme supply-and-demand order imbalances by increased balancing counter orders: buy and sell orders for excess supply and demand respectively, during times of price adjustment, so-called special quotes on the Tokyo Stock Exchange. Counter orders increase positively depending on the quantity of revealed counter orders: the accumulated orders in the book until then. Statistics of the coming counter order are well described using a logistic regression model with the ratio of revealed orders until then to the finally revealed orders as the explanatory variable. Results given here show that the market participants make Bayesian estimations of optimal choices to ascertain whether to order using information about orders of other participants. PMID:27513335

  20. Collective Behavior of Market Participants during Abrupt Stock Price Changes

    PubMed Central

    Maskawa, Jun-ichi

    2016-01-01

    Under uncertainty, human and animal collectives often respond stochastically to events they encounter. Human or animal individuals behave depending on others’ actions, and sometimes follow choices that are sub-optimal for individuals. Such mimetic behaviors are enhanced during emergencies, creating collective behavior of a group. A stock market that is about to crash, as markets did immediately after the Lehman Brothers bankruptcy, provides illustrative examples of such behaviors. We provide empirical evidence proving the existence of collective behavior among stock market participants in emergent situations. We investigated the resolution of extreme supply-and-demand order imbalances by increased balancing counter orders: buy and sell orders for excess supply and demand respectively, during times of price adjustment, so-called special quotes on the Tokyo Stock Exchange. Counter orders increase positively depending on the quantity of revealed counter orders: the accumulated orders in the book until then. Statistics of the coming counter order are well described using a logistic regression model with the ratio of revealed orders until then to the finally revealed orders as the explanatory variable. Results given here show that the market participants make Bayesian estimations of optimal choices to ascertain whether to order using information about orders of other participants. PMID:27513335

  1. Price forecast in the competitive electricity market by support vector machine

    NASA Astrophysics Data System (ADS)

    Gao, Ciwei; Bompard, Ettore; Napoli, Roberto; Cheng, Haozhong

    2007-08-01

    The electricity market has been widely introduced in many countries all over the world and the study on electricity price forecast technology has drawn a lot of attention. In this paper, with different parameter C i and ε i assigned to each training data, the flexible C i Support Vector Regression (SVR) model is developed in terms of the particularity of the price forecast in electricity market. For Day Ahead Market (DAM) price forecast, the load, time of use index and index of day type are taken as the major factors to characterize the market price, therefore, they are selected as the inputs for the flexible SVR forecast model. For the long-term price forecast, we take the reserve margin Rm, HHI and the fuel price index as the inputs, since they are the major factors that drive the market price variation in long run. For short-term price forecast, besides the detailed analysis with the young Italian electricity market, the new model is tested on the experimental stage of the Spanish market, the New York market and the New England market. The long-term forecast with the SVR model presented is justified by the forecast with the data from the Long Run Market Simulator (LREMS).

  2. Hospital prices and market structure in the hospital and insurance industries.

    PubMed

    Moriya, Asako S; Vogt, William B; Gaynor, Martin

    2010-10-01

    There has been substantial consolidation among health insurers and hospitals, recently, raising questions about the effects of this consolidation on the exercise of market power. We analyze the relationship between insurer and hospital market concentration and the prices of hospital services. We use a national US dataset containing transaction prices for health care services for over 11 million privately insured Americans. Using three years of panel data, we estimate how insurer and hospital market concentration are related to hospital prices, while controlling for unobserved market effects. We find that increases in insurance market concentration are significantly associated with decreases in hospital prices, whereas increases in hospital concentration are non-significantly associated with increases in prices. A hypothetical merger between two of five equally sized insurers is estimated to decrease hospital prices by 6.7%. PMID:20478106

  3. Market review - Market values summary/October market review/current market data

    SciTech Connect

    1995-11-01

    This article is the October 1995 uranium market summary. In this reporting period, there were four transactions in the natural uranium market, no activity in the spot UF6 market, no activity in the spot conversion market, and only a single activity in the enrichment services market. Spot uranium volume dropped sharply, and active uranium supply rose. The rise in demand, however, more than offset this increase. Unrestricted exchange prices rose slightly, as did the unrestricted UF6 value. All other prices remained steady.

  4. Market prices for water in the semiarid West of the United States

    NASA Astrophysics Data System (ADS)

    Brookshire, David S.; Colby, Bonnie; Ewers, Mary; Ganderton, Philip T.

    2004-09-01

    Market prices contain information about supply and demand, the institutions that influence both these elements, and the operation of the market. Prices also allocate scarce resources to higher-valued uses. In this paper we analyze the price history of three water markets in the arid Southwest: Arizona's Central Arizona Project, Colorado's Colorado Big Thompson Project, and New Mexico's Middle Rio Grande Conservancy District. Using water transfers over 11 years, we estimate a simultaneous system of market equations, one for price and the other for quantity demanded. Comparison of the institutional characteristics of each market reveals that Colorado's market is well developed, with many trades and rising prices that respond to market conditions, and New Mexico's market is developing well, with lower prices, but showing some response to supply and demand factors. Arizona's market is the least developed, with few trades and very low prices. Our empirical findings support our claim that markets are becoming more efficient in these regions despite the considerable institutional and historical impediments to the evolution of water markets.

  5. White noise effects of U.S. crude oil spot prices on stock prices of a publicly traded company: A case study cross-correlation analysis based on green energy management theory

    NASA Astrophysics Data System (ADS)

    Roberts, Peter M.

    The purpose of this study was to examine white noise effects of U.S. crude oil spot prices on the stock prices of a green energy company. Epistemological, Phenomenological, Axiological and Ontological assumptions of Green Energy Management (GEM) Theory were utilized for selecting Air Products and Chemicals Inc. (APD) as the case study. Exxon Mobil (XOM) was used as a control for triangulation purposes. The period of time examined was between January of 1999 and December of 2008. Monthly stock prices for APD and XOM for the ten year period of time were collected from the New York Stock Exchange. Monthly U.S. crude oil spot prices for the ten year period of time were collected from the US Energy Information Administration. The data was entered into SPSS 17.0 software in order to conduct cross-correlation analysis. The six cross-correlation assumptions were satisfied in order to conduct a Cross-correlation Mirror Test (CCMT). The CCMT established the lag time direction and verified that U.S. crude oil spot prices serve as white noise for stock prices of APD and XOM. The Theory of Relative Weakness was employed in order to analyze the results. A 2 year period of time between December, 2006 and December, 2008 was examined. The correlation coefficient r = - .155 indicates that U.S. crude oil spot prices lead APD stock prices by 4 months. During the same 2 year period of time, U.S. crude oil spot prices lead XOM stock prices by 4 months at r = -.283. XOM stock prices and APD stock prices were positively correlated with 0 lag in time with a positive r = .566. The 4 month cycle was an exact match between APD stock prices, XOM stock prices and U.S. crude oil spot prices. The 4 month cycle was due to the random price fluctuation of U.S. crude oil spot prices that obscured the true stock prices of APD and XOM for the 2 year period of time.

  6. An econometric analysis of the market for natural gas futures

    SciTech Connect

    Walls, W.D.

    1995-12-31

    This research tests a form of the efficient markets hypothesis in the market for natural gas futures. Unlike other studies of future markets, the test for market efficiency is conducted at numerous locations which comprise the natural gas spot market in addition to the delivery location specified in the futures contract. Natural gas spot and futures prices are found to be nonstationary and accordingly are modeled using recently developed maximum likelihood cointegrated with nearly all of the spot market prices across the national network of gas pipelines. The hypothesis of market efficiency can be rejected in 3 of the 13 spot markets. 29 refs., 1 fig., 2 tabs.

  7. Threshold Pricing: A Strategy for the Marketing of Adult Education Courses.

    ERIC Educational Resources Information Center

    Lamoureux, Marvin E.

    Because threshold pricing's scope for course price development had a good potential for application to the marketing of services by nonprofit organizations, this study's purpose was to determine the existence and applicability of course price thresholds or ranges to the decisionmaking framework of adult educators, with special reference to…

  8. Asset price and trade volume relation in artificial market impacted by value investors

    NASA Astrophysics Data System (ADS)

    Tangmongkollert, K.; Suwanna, S.

    2016-05-01

    The relationship between return and trade volume has been of great interests in a financial market. The appearance of asymmetry in the price-volume relation in the bull and bear market is still unsettled. We present a model of the value investor traders (VIs) in the double auction system, in which agents make trading decision based on the pseudo fundamental price modelled by sawtooth oscillations. We investigate the system by two different time series for the asset fundamental price: one corresponds to the fundamental price in a growing phase; and the other corresponds to that in a declining phase. The simulation results show that the trade volume is proportional to the difference between the market price and the fundamental price, and that there is asymmetry between the buying and selling phases. Furthermore, the selling phase has more significant impact of price on the trade volume than the buying phase.

  9. Analyzing millet price regimes and market performance in Niger with remote sensing data

    NASA Astrophysics Data System (ADS)

    Essam, Timothy Michael

    This dissertation concerns the analysis of staple food prices and market performance in Niger using remotely sensed vegetation indices in the form of normalized differenced vegetation index (NDVI). By exploiting the link between weather-related vegetation production conditions, which serve as a proxy for spatially explicit millet yields and thus millet availability, this study analyzes the potential causal links between NDVI outcomes and millet market performance and presents an empirical approach for predicting changes in market performance based on NDVI outcomes. Overall, the thesis finds that inter-market price spreads and levels of market integration can be reasonably explained by deviations in vegetation index outcomes from the growing season. Negative (positive) NDVI shocks are associated with better (worse) than expected market performance as measured by converging inter-market price spreads. As the number of markets affected by negatively abnormal vegetation production conditions in the same month of the growing season increases, inter-market price dispersion declines. Positive NDVI shocks, however, do not mirror this pattern in terms of the magnitude of inter-market price divergence. Market integration is also found to be linked to vegetation index outcomes as below (above) average NDVI outcomes result in more integrated (segmented) markets. Climate change and food security policies and interventions should be guided by these findings and account for dynamic relationships among market structures and vegetation production outcomes.

  10. The inevitable commoditization of electric power markets

    SciTech Connect

    Mango, B.; Woodley, J.A.C.

    1994-11-01

    As competition grows between electric suppliers it is inevitable that a spot market in electricity will evolve. The impetus is the market demand for greater asset productivity. With prices revealed, a commodity market will follow. With spot and commodity markets will come the power to reallocate risk and make capital investment more productive. Given price volatility, separate markets will develop for near- and long-term hedging instruments.

  11. Neural network based load and price forecasting and confidence interval estimation in deregulated power markets

    NASA Astrophysics Data System (ADS)

    Zhang, Li

    With the deregulation of the electric power market in New England, an independent system operator (ISO) has been separated from the New England Power Pool (NEPOOL). The ISO provides a regional spot market, with bids on various electricity-related products and services submitted by utilities and independent power producers. A utility can bid on the spot market and buy or sell electricity via bilateral transactions. Good estimation of market clearing prices (MCP) will help utilities and independent power producers determine bidding and transaction strategies with low risks, and this is crucial for utilities to compete in the deregulated environment. MCP prediction, however, is difficult since bidding strategies used by participants are complicated and MCP is a non-stationary process. The main objective of this research is to provide efficient short-term load and MCP forecasting and corresponding confidence interval estimation methodologies. In this research, the complexity of load and MCP with other factors is investigated, and neural networks are used to model the complex relationship between input and output. With improved learning algorithm and on-line update features for load forecasting, a neural network based load forecaster was developed, and has been in daily industry use since summer 1998 with good performance. MCP is volatile because of the complexity of market behaviors. In practice, neural network based MCP predictors usually have a cascaded structure, as several key input factors need to be estimated first. In this research, the uncertainties involved in a cascaded neural network structure for MCP prediction are analyzed, and prediction distribution under the Bayesian framework is developed. A fast algorithm to evaluate the confidence intervals by using the memoryless Quasi-Newton method is also developed. The traditional back-propagation algorithm for neural network learning needs to be improved since MCP is a non-stationary process. The extended Kalman

  12. A comparison of pay-as-bid and marginal pricing in electricity markets

    NASA Astrophysics Data System (ADS)

    Ren, Yongjun

    This thesis investigates the behaviour of electricity markets under marginal and pay-as-bid pricing. Marginal pricing is believed to yield the maximum social welfare and is currently implemented by most electricity markets. However, in view of recent electricity market failures, pay-as-bid has been extensively discussed as a possible alternative to marginal pricing. In this research, marginal and pay-as-bid pricing have been analyzed in electricity markets with both perfect and imperfect competition. The perfect competition case is studied under both exact and uncertain system marginal cost prediction. The comparison of the two pricing methods is conducted through two steps: (i) identify the best offer strategy of the generating companies (gencos); (ii) analyze the market performance under these optimum genco strategies. The analysis results together with numerical simulations show that pay-as-bid and marginal pricing are equivalent in a perfect market with exact system marginal cost prediction. In perfect markets with uncertain demand prediction, the two pricing methods are also equivalent but in an expected value sense. If we compare from the perspective of second order statistics, all market performance measures exhibit much lower values under pay-as-bid than under marginal pricing. The risk of deviating from the mean is therefore much higher under marginal pricing than under pay-as-bid. In an imperfect competition market with exact demand prediction, the research shows that pay-as-bid pricing yields lower consumer payments and lower genco profits. This research provides quantitative evidence that challenges some common claims about pay-as-bid pricing. One is that under pay-as-bid, participants would soon learn how to offer so as to obtain the same or higher profits than what they would have obtained under marginal pricing. This research however shows that, under pay-as-bid, participants can at best earn the same profit or expected profit as under marginal

  13. Relationships among Energy Price Shocks, Stock Market, and the Macroeconomy: Evidence from China

    PubMed Central

    Cong, Rong-Gang; Shen, Shaochuan

    2013-01-01

    This paper investigates the interactive relationships among China energy price shocks, stock market, and the macroeconomy using multivariate vector autoregression. The results indicate that there is a long cointegration among them. A 1% rise in the energy price index can depress the stock market index by 0.54% and the industrial value-adding growth by 0.037%. Energy price shocks also cause inflation and have a 5-month lag effect on stock market, which may result in the stock market “underreacting.” The energy price can explain stock market fluctuations better than the interest rate over a longer time period. Consequently, investors should pay greater attention to the long-term effect of energy on the stock market. PMID:23690737

  14. Relationships among energy price shocks, stock market, and the macroeconomy: evidence from China.

    PubMed

    Cong, Rong-Gang; Shen, Shaochuan

    2013-01-01

    This paper investigates the interactive relationships among China energy price shocks, stock market, and the macroeconomy using multivariate vector autoregression. The results indicate that there is a long cointegration among them. A 1% rise in the energy price index can depress the stock market index by 0.54% and the industrial value-adding growth by 0.037%. Energy price shocks also cause inflation and have a 5-month lag effect on stock market, which may result in the stock market "underreacting." The energy price can explain stock market fluctuations better than the interest rate over a longer time period. Consequently, investors should pay greater attention to the long-term effect of energy on the stock market. PMID:23690737

  15. SMART II : the spot market agent research tool version 2.0.

    SciTech Connect

    North, M. J. N.

    2000-12-14

    Argonne National Laboratory (ANL) has worked closely with Western Area Power Administration (Western) over many years to develop a variety of electric power marketing and transmission system models that are being used for ongoing system planning and operation as well as analytic studies. Western markets and delivers reliable, cost-based electric power from 56 power plants to millions of consumers in 15 states. The Spot Market Agent Research Tool Version 2.0 (SMART II) is an investigative system that partially implements some important components of several existing ANL linear programming models, including some used by Western. SMART II does not implement a complete model of the Western utility system but it does include several salient features of this network for exploratory purposes. SMART II uses a Swarm agent-based framework. SMART II agents model bulk electric power transaction dynamics with recognition for marginal costs as well as transmission and generation constraints. SMART II uses a sparse graph of nodes and links to model the electric power spot market. The nodes represent power generators and consumers with distinct marginal decision curves and varying investment capital as well individual learning parameters. The links represent transmission lines with individual capacities taken from a range of central distribution, outlying distribution and feeder line types. The application of SMART II to electric power systems studies has produced useful results different from those often found using more traditional techniques. Use of the advanced features offered by the Swarm modeling environment simplified the creation of the SMART II model.

  16. Predictability and Market Efficiency in Agricultural Futures Markets: a Perspective from Price-Volume Correlation Based on Wavelet Coherency Analysis

    NASA Astrophysics Data System (ADS)

    He, Ling-Yun; Wen, Xing-Chun

    2015-12-01

    In this paper, we use a time-frequency domain technique, namely, wavelet squared coherency, to examine the associations between the trading volumes of three agricultural futures and three different forms of these futures' daily closing prices, i.e. prices, returns and volatilities, over the past several years. These agricultural futures markets are selected from China as a typical case of the emerging countries, and from the US as a representative of the developed economies. We investigate correlations and lead-lag relationships between the trading volumes and the prices to detect the predictability and efficiency of these futures markets. The results suggest that the information contained in the trading volumes of the three agricultural futures markets in China can be applied to predict the prices or returns, while that in US has extremely weak predictive power for prices or returns. We also conduct the wavelet analysis on the relationships between the volumes and returns or volatilities to examine the existence of the two "stylized facts" proposed by Karpoff [J. M. Karpoff, The relation between price changes and trading volume: A survey, J. Financ. Quant. Anal.22(1) (1987) 109-126]. Different markets in the two countries perform differently in reproducing the two stylized facts. As the wavelet tools can decode nonlinear regularities and hidden patterns behind price-volume relationship in time-frequency space, different from the conventional econometric framework, this paper offers a new perspective into the market predictability and efficiency.

  17. Regional Comparisons, Spatial Aggregation, and Asymmetry of Price Pass-Through

    EIA Publications

    2005-01-01

    Spot to retail price pass-through behavior of the U.S. gasoline market was investigated at the national and regional levels, using weekly wholesale and retail motor gasoline prices from January 2000 to the present.

  18. The effects of drug market regulation on pharmaceutical prices in Europe: overview and evidence from the market of ACE inhibitors

    PubMed Central

    2011-01-01

    This study provides an overview of policy measures targeting pharmaceutical expenditure in Europe and analyses their impact on originator pharmaceutical prices. Panel data methods are used to examine the market of ACE Inhibitors in six European countries (Denmark, France, Germany, Netherlands, Sweden, United Kingdom) over period 1991-2006. We find that although some measures are effective in reducing originator prices, others appear to have an insignificant effect. Results suggest that supply side measures such as mandatory generic substitution, regressive pharmacy mark-ups and claw-backs are effective in reducing pharmaceuticals prices. Results are not as strong for demand side measures. Profit controls and the use of cost-effectiveness analysis appear to have a negative effect on prices, while results on reference pricing are inconclusive. Findings also indicate that, although originator prices are not immediately affected by generic entry, they may be influenced by changes in generic prices post patent expiry. PMID:22828053

  19. Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random Process

    NASA Astrophysics Data System (ADS)

    Daniels, Marcus G.; Farmer, J. Doyne; Gillemot, László; Iori, Giulia; Smith, Eric

    2003-03-01

    We model trading and price formation in a market under the assumption that order arrival and cancellations are Poisson random processes. This model makes testable predictions for the most basic properties of markets, such as the diffusion rate of prices (which is the standard measure of financial risk) and the spread and price impact functions (which are the main determinants of transaction cost). Guided by dimensional analysis, simulation, and mean-field theory, we find scaling relations in terms of order flow rates. We show that even under completely random order flow the need to store supply and demand to facilitate trading induces anomalous diffusion and temporal structure in prices.

  20. Quantitative model of price diffusion and market friction based on trading as a mechanistic random process.

    PubMed

    Daniels, Marcus G; Farmer, J Doyne; Gillemot, László; Iori, Giulia; Smith, Eric

    2003-03-14

    We model trading and price formation in a market under the assumption that order arrival and cancellations are Poisson random processes. This model makes testable predictions for the most basic properties of markets, such as the diffusion rate of prices (which is the standard measure of financial risk) and the spread and price impact functions (which are the main determinants of transaction cost). Guided by dimensional analysis, simulation, and mean-field theory, we find scaling relations in terms of order flow rates. We show that even under completely random order flow the need to store supply and demand to facilitate trading induces anomalous diffusion and temporal structure in prices. PMID:12689037

  1. Quantum spatial-periodic harmonic model for daily price-limited stock markets

    NASA Astrophysics Data System (ADS)

    Meng, Xiangyi; Zhang, Jian-Wei; Xu, Jingjing; Guo, Hong

    2015-11-01

    We investigate the behaviors of stocks in daily price-limited stock markets by purposing a quantum spatial-periodic harmonic model. The stock price is considered to be oscillating and damping in a quantum spatial-periodic harmonic oscillator potential well. A complicated non-linear relation including inter-band positive correlation and intra-band negative correlation between the volatility and trading volume of a stock is numerically derived with the energy band structure of the model concerned. The effectiveness of price limit is re-examined, with some observed characteristics of price-limited stock markets in China studied by applying our quantum model.

  2. Statistical properties and pre-hit dynamics of price limit hits in the Chinese stock markets.

    PubMed

    Wan, Yu-Lei; Xie, Wen-Jie; Gu, Gao-Feng; Jiang, Zhi-Qiang; Chen, Wei; Xiong, Xiong; Zhang, Wei; Zhou, Wei-Xing

    2015-01-01

    Price limit trading rules are adopted in some stock markets (especially emerging markets) trying to cool off traders' short-term trading mania on individual stocks and increase market efficiency. Under such a microstructure, stocks may hit their up-limits and down-limits from time to time. However, the behaviors of price limit hits are not well studied partially due to the fact that main stock markets such as the US markets and most European markets do not set price limits. Here, we perform detailed analyses of the high-frequency data of all A-share common stocks traded on the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2000 to 2011 to investigate the statistical properties of price limit hits and the dynamical evolution of several important financial variables before stock price hits its limits. We compare the properties of up-limit hits and down-limit hits. We also divide the whole period into three bullish periods and three bearish periods to unveil possible differences during bullish and bearish market states. To uncover the impacts of stock capitalization on price limit hits, we partition all stocks into six portfolios according to their capitalizations on different trading days. We find that the price limit trading rule has a cooling-off effect (object to the magnet effect), indicating that the rule takes effect in the Chinese stock markets. We find that price continuation is much more likely to occur than price reversal on the next trading day after a limit-hitting day, especially for down-limit hits, which has potential practical values for market practitioners. PMID:25874716

  3. Statistical Properties and Pre-Hit Dynamics of Price Limit Hits in the Chinese Stock Markets

    PubMed Central

    Wan, Yu-Lei; Xie, Wen-Jie; Gu, Gao-Feng; Jiang, Zhi-Qiang; Chen, Wei; Xiong, Xiong; Zhang, Wei; Zhou, Wei-Xing

    2015-01-01

    Price limit trading rules are adopted in some stock markets (especially emerging markets) trying to cool off traders’ short-term trading mania on individual stocks and increase market efficiency. Under such a microstructure, stocks may hit their up-limits and down-limits from time to time. However, the behaviors of price limit hits are not well studied partially due to the fact that main stock markets such as the US markets and most European markets do not set price limits. Here, we perform detailed analyses of the high-frequency data of all A-share common stocks traded on the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2000 to 2011 to investigate the statistical properties of price limit hits and the dynamical evolution of several important financial variables before stock price hits its limits. We compare the properties of up-limit hits and down-limit hits. We also divide the whole period into three bullish periods and three bearish periods to unveil possible differences during bullish and bearish market states. To uncover the impacts of stock capitalization on price limit hits, we partition all stocks into six portfolios according to their capitalizations on different trading days. We find that the price limit trading rule has a cooling-off effect (object to the magnet effect), indicating that the rule takes effect in the Chinese stock markets. We find that price continuation is much more likely to occur than price reversal on the next trading day after a limit-hitting day, especially for down-limit hits, which has potential practical values for market practitioners. PMID:25874716

  4. Market review - Market values summary/August market review/current market data

    SciTech Connect

    1995-09-01

    This article is the August 1995 uranium market review. During this reporting period, there were three transactions in the long-term concentrates sector, no transactions in the UF6 market, and limited activity in the spot conversion market and the enrichment services market. Active supply rose, as did active demand. Prices were stable to slightly increasing.

  5. 77 FR 38553 - Proposed Modification to Regulation Concerning the Use of Market Economy Input Prices in...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-28

    ...: Market Economy Inputs, Expected Non- Market Economy Wages, Duty Drawback; and Request for Comments, 71 FR...; Countervailing Duties, Final Rule, 62 FR 27296, 27366 (May 19, 1997); Shakeproof Assembly Components Div. of Ill... Market Economy Input Prices in Nonmarket Economy Proceedings AGENCY: Import Administration,...

  6. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    SciTech Connect

    Kim, Joyce Jihyun; Kiliccote, Sila

    2012-06-01

    In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

  7. Scale-dependent price fluctuations for the Indian stock market

    NASA Astrophysics Data System (ADS)

    Matia, K.; Pal, M.; Salunkay, H.; Stanley, H. E.

    2004-06-01

    Classic studies of the probability density of price fluctuations g for stocks and foreign exchanges of several highly developed economies have been interpreted using a power law probability density function P(g) ~ g-(α + 1) with exponent values α > 2. To test the ubiquity of this relationship we analyze daily returns for the period November 1994 June 2002 for the 49 largest stocks of the National Stock Exchange which has the highest trade volume in India. We find the surprising result that P(g) decays as an exponential function P(g) ~ exp [ - βg] with a characteristic decay scale β = 1.51 ± 0.05 for the negative tail and β = 1.34 ± 0.04 for the positive tail. The exponential function is significantly different from the power law function observed for highly developed economies. Thus, we conclude that the stock market of the less highly developed economy of India belongs to a different class from that of highly developed countries.

  8. Modeling Long-term Behavior of Stock Market Prices Using Differential Equations

    NASA Astrophysics Data System (ADS)

    Yang, Xiaoxiang; Zhao, Conan; Mazilu, Irina

    2015-03-01

    Due to incomplete information available in the market and uncertainties associated with the price determination process, the stock prices fluctuate randomly during a short period of time. In the long run, however, certain economic factors, such as the interest rate, the inflation rate, and the company's revenue growth rate, will cause a gradual shift in the stock price. Thus, in this paper, a differential equation model has been constructed in order to study the effects of these factors on the stock prices. The model obtained accurately describes the general trends in the AAPL and XOM stock price changes over the last ten years.

  9. Price-volume multifractal analysis and its application in Chinese stock markets

    NASA Astrophysics Data System (ADS)

    Yuan, Ying; Zhuang, Xin-tian; Liu, Zhi-ying

    2012-06-01

    An empirical research on Chinese stock markets is conducted using statistical tools. First, the multifractality of stock price return series, ri(ri=ln(Pt+1)-ln(Pt)) and trading volume variation series, vi(vi=ln(Vt+1)-ln(Vt)) is confirmed using multifractal detrended fluctuation analysis. Furthermore, a multifractal detrended cross-correlation analysis between stock price return and trading volume variation in Chinese stock markets is also conducted. It is shown that the cross relationship between them is also found to be multifractal. Second, the cross-correlation between stock price Pi and trading volume Vi is empirically studied using cross-correlation function and detrended cross-correlation analysis. It is found that both Shanghai stock market and Shenzhen stock market show pronounced long-range cross-correlations between stock price and trading volume. Third, a composite index R based on price and trading volume is introduced. Compared with stock price return series ri and trading volume variation series vi, R variation series not only remain the characteristics of original series but also demonstrate the relative correlation between stock price and trading volume. Finally, we analyze the multifractal characteristics of R variation series before and after three financial events in China (namely, Price Limits, Reform of Non-tradable Shares and financial crisis in 2008) in the whole period of sample to study the changes of stock market fluctuation and financial risk. It is found that the empirical results verified the validity of R.

  10. Fish market prices drive overfishing of the ‘big ones’

    PubMed Central

    Polymeros, Konstantinos

    2014-01-01

    The relationship between fish market price and body size has not been explored much in fisheries science. Here, the mean market prices and fish body size were collected in order to examine the hypothesis that large fish, both among- and within-species, are being selectively targeted by fisheries because they may yield greater profit. Trophic levels, vulnerability to fishing and global landings were also collected because these variables may also be related to the market fish price. These relationships were examined using generalized additive models (GAM), which showed that, among species, fish market price was positively dependent on maximum total length (P = 0.0024) and negatively on landings (P = 0.0006), whereas it was independent of trophic level (P > 0.05) and vulnerability to fishing (P > 0.05). When the fish price vs. size relationship was tested within-species, large individuals were consistently attaining higher market prices compared to their medium and small-sized counterparts. We conclude that the selective removal of the larger fish, which is driven by their market price and to a lesser extent by their availability, may contribute to their overfishing. PMID:25392754

  11. Analysis of the temporal properties of price shock sequences in crude oil markets

    NASA Astrophysics Data System (ADS)

    Yuan, Ying; Zhuang, Xin-tian; Liu, Zhi-ying; Huang, Wei-qiang

    2014-01-01

    As one of the fundamental energy sources and important chemical raw materials, crude oil is crucially important to every country. Especially, the price shock of crude oil will bring about hidden dangers in energy security and economic security. Therefore, investigating the dynamics of frequent price shocks of crude oil markets seems to be crucial and necessary. In order to make the conclusions more reliable and valid, we use two different representations of the price shocks (inter-event times and series of counts) to study the temporal properties of price shock sequences in crude oil markets, such as coefficient of variation, Allan Factor, Fano Factors, Rescaled Range analysis and Detrended Fluctuation Analysis. We find evidence that the time dynamics of the price shock sequences can be considered as a fractal process with a high degree of time-clusterization of the events. It could give us some useful information to better understand the nature and dynamics of crude oil markets.

  12. 13 CFR 124.511 - How is fair market price determined for an 8(a) contract?

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... timely submitted by SBA. (2) The procuring activity must base the estimate of a current fair market price... ADMINISTRATION 8(a) BUSINESS DEVELOPMENT/SMALL DISADVANTAGED BUSINESS STATUS DETERMINATIONS 8(a)...

  13. Measuring volatility in the Nordic spot electricity market using Recurrence Quantification Analysis

    NASA Astrophysics Data System (ADS)

    Strozzi, F.; Gutiérrez, E.; Noè, C.; Rossi, T.; Serati, M.; Zaldívar, J. M.

    2008-10-01

    In this work, we have applied Recurrence Quantification Analysis (RQA)to data sets taken from the Nordic spot electricity market. Our main interest was in trying to correlate their volatility with variables obtained from the quantification of recurrence plots (RP). For this reason we have based our analysis on known historical events: the evolution of the Nord Pool market and climatic factors, i.e. dry and wet years, and we have compared several dispersion measures with RQA measures in correspondence of these events. The analysis suggests that two RQA measures: DET and LAM can be used as a measure of the inverse of the volatility. The main advantage of using DET and LAM is that these measures provide also information about the underlying dynamics. This fact is shown using shuffled and linear Gaussian surrogates of the real time series.

  14. U.S. Television Programs in the International Market: Unfair Pricing?

    ERIC Educational Resources Information Center

    Hoskins, Colin; And Others

    1989-01-01

    Provides a microeconomic analysis of United States (U.S.) television program export prices. Finds that U.S. producers, acting like a dominant firm, are responsible for establishing the general level of foreign program prices in each national market. (MS)

  15. Impact of Stock Market Structure on Intertrade Time and Price Dynamics

    NASA Astrophysics Data System (ADS)

    Yuen, Ainslie; Ivanov, Plamen Ch.

    2005-08-01

    The NYSE and NASDAQ stock markets have very different structures and there is continuing controversy over whether differences in stock price behaviour are due to market structure or company characteristics. As the influence of market structure on stock prices may be obscured by exogenous factors such as demand and supply, we hypothesize that modulation of the flow of transactions due to market operations may carry a stronger imprint of the internal market mechanism. We analyse times between consecutive transactions (ITT) for NYSE and NASDAQ stocks, and we relate the dynamical properties of the ITT with those of the corresponding price fluctuations. We find a robust scale-invariant temporal organisation in the ITT of stocks which is independent of individual company characteristics and industry sector, but which depends on market structure. We find that stocks registered on the NASDAQ exhibit stronger correlations in their transaction timing within a trading day, compared with NYSE stocks. Further, we find that companies that transfer from the NASDAQ to the NYSE show a reduction in the correlation strength of transaction timing within a trading day, after the move, suggesting influences of market structure. Surprisingly, we also observe that stronger power-law correlations in the ITT are coupled with stronger power-law correlations in absolute price returns and higher price volatility, suggesting a strong link between the dynamical properties of ITT and the corresponding price fluctuations over a broad range of time scales. Comparing the NYSE and NASDAQ, we demonstrate that the higher correlations we find in ITT for NASDAQ stocks are matched by higher correlations in absolute price returns and by higher volatility, suggesting that market structure may affect price behaviour through information contained in transaction timing.

  16. Market interdependence among commodity prices based on information transmission on the Internet

    NASA Astrophysics Data System (ADS)

    Ji, Qiang; Guo, Jian-Feng

    2015-05-01

    Human behaviour on the Internet has become a synchro-projection of real society. In this paper, we introduce the public concern derived from query volumes on the Web to empirically analyse the influence of information on commodity markets (e.g., crude oil, heating oil, corn and gold) using multivariate GARCH models based on dynamic conditional correlations. The analysis found that the changes of public concern on the Internet can well depict the changes of market prices, as the former has significant Granger causality effects on market prices. The findings indicate that the information of external shocks to commodity markets could be transmitted quickly, and commodity markets easily absorb the public concern of the information-sensitive traders. Finally, the conditional correlation among commodity prices varies dramatically over time.

  17. CONCENTRATION AND DRUG PRICES IN THE RETAIL MARKET FOR MALARIA TREATMENT IN RURAL TANZANIA

    PubMed Central

    GOODMAN, CATHERINE; KACHUR, S. PATRICK; ABDULLA, SALIM; BLOLAND, PETER; MILLS, ANNE

    2009-01-01

    SUMMARY The impact of market concentration has been little studied in markets for ambulatory care in the developing world, where the retail sector often accounts for a high proportion of treatments. This study begins to address this gap through an analysis of the consumer market for malaria treatment in rural areas of three districts in Tanzania. We developed methods for investigating market definition, sales volumes and concentration, and used these to explore the relationship between antimalarial retail prices and competition. The market was strongly geographically segmented and highly concentrated in terms of antimalarial sales. Antimalarial prices were positively associated with market concentration. High antimalarial prices were likely to be an important factor in the low proportion of care seekers obtaining appropriate treatment. Retail sector distribution of subsidised antimalarials has been proposed to increase the coverage of effective treatment, but this analysis indicates that local market power may prevent such subsidies from being passed on to rural customers. Policymakers should consider the potential to maintain lower retail prices by decreasing concentration among antimalarial providers and recommending retail price levels. PMID:19301420

  18. Long scale evolution of a nonlinear stochastic dynamic system for modeling market price bubbles

    NASA Astrophysics Data System (ADS)

    Kiselev, S. A.; Phillips, Andy; Gabitov, I.

    2000-07-01

    This Letter investigates the stochastic dynamics of a simplified agent-based microscopic model describing stock market evolution. Our mathematical model includes a stochastic market and a sealed-bid double auction. The dynamics of the model are determined by the game of two types of traders: (i) `intelligent' traders whose strategy is based on nonlinear technical data analysis 1 and (ii) `random' traders that act without a consistent strategy. We demonstrate the effect of time-scale separations on the market dynamics. We study the characteristics of the market relaxation in response to perturbations caused by large cash flows generated between these two groups of traders. We also demonstrate that our model exhibits the formation of a price bubble 2 and the subsequent transition to a bear market 3. Bear market - a macroscopically long stage of a market evolution when the stock price declines significantly, 15% or more.

  19. World oil market outlook: recent history and forecasts of world oil prices

    SciTech Connect

    Not Available

    1981-08-01

    Recent world oil price trends and pricing behavior by the Organization of Petroleum Exporting Countries (OPEC) are examined. An outlook for consumption, production and prices in the world oil market, both for the short-term horizon through 1982 and for the midterm period from 1985 through 1995 is presented. A historical review focuses on OPEC activity in the period from January 1980 to May 1981. Several sensitivity analyses and the impact of supply disruptions are used to determine projections. The appendix provides data on world crude oil prices for each of 23 countries for January, May, and June of 1980 and May of 1981. 22 tables, 9 figures.

  20. Impact of stock market structure on intertrade time and price dynamics.

    PubMed

    Ivanov, Plamen Ch; Yuen, Ainslie; Perakakis, Pandelis

    2014-01-01

    We analyse times between consecutive transactions for a diverse group of stocks registered on the NYSE and NASDAQ markets, and we relate the dynamical properties of the intertrade times with those of the corresponding price fluctuations. We report that market structure strongly impacts the scale-invariant temporal organisation in the transaction timing of stocks, which we have observed to have long-range power-law correlations. Specifically, we find that, compared to NYSE stocks, stocks registered on the NASDAQ exhibit significantly stronger correlations in their transaction timing on scales within a trading day. Further, we find that companies that transfer from the NASDAQ to the NYSE show a reduction in the correlation strength of transaction timing on scales within a trading day, indicating influences of market structure. We also report a persistent decrease in correlation strength of intertrade times with increasing average intertrade time and with corresponding decrease in companies' market capitalization-a trend which is less pronounced for NASDAQ stocks. Surprisingly, we observe that stronger power-law correlations in intertrade times are coupled with stronger power-law correlations in absolute price returns and higher price volatility, suggesting a strong link between the dynamical properties of intertrade times and the corresponding price fluctuations over a broad range of time scales. Comparing the NYSE and NASDAQ markets, we demonstrate that the stronger correlations we find in intertrade times for NASDAQ stocks are associated with stronger correlations in absolute price returns and with higher volatility, suggesting that market structure may affect price behavior through information contained in transaction timing. These findings do not support the hypothesis of universal scaling behavior in stock dynamics that is independent of company characteristics and stock market structure. Further, our results have implications for utilising transaction timing

  1. Impact of Stock Market Structure on Intertrade Time and Price Dynamics

    PubMed Central

    Ivanov, Plamen Ch.; Yuen, Ainslie; Perakakis, Pandelis

    2014-01-01

    We analyse times between consecutive transactions for a diverse group of stocks registered on the NYSE and NASDAQ markets, and we relate the dynamical properties of the intertrade times with those of the corresponding price fluctuations. We report that market structure strongly impacts the scale-invariant temporal organisation in the transaction timing of stocks, which we have observed to have long-range power-law correlations. Specifically, we find that, compared to NYSE stocks, stocks registered on the NASDAQ exhibit significantly stronger correlations in their transaction timing on scales within a trading day. Further, we find that companies that transfer from the NASDAQ to the NYSE show a reduction in the correlation strength of transaction timing on scales within a trading day, indicating influences of market structure. We also report a persistent decrease in correlation strength of intertrade times with increasing average intertrade time and with corresponding decrease in companies' market capitalization–a trend which is less pronounced for NASDAQ stocks. Surprisingly, we observe that stronger power-law correlations in intertrade times are coupled with stronger power-law correlations in absolute price returns and higher price volatility, suggesting a strong link between the dynamical properties of intertrade times and the corresponding price fluctuations over a broad range of time scales. Comparing the NYSE and NASDAQ markets, we demonstrate that the stronger correlations we find in intertrade times for NASDAQ stocks are associated with stronger correlations in absolute price returns and with higher volatility, suggesting that market structure may affect price behavior through information contained in transaction timing. These findings do not support the hypothesis of universal scaling behavior in stock dynamics that is independent of company characteristics and stock market structure. Further, our results have implications for utilising transaction timing

  2. Introducing a price variation limiter mechanism into a behavioral financial market model.

    PubMed

    Naimzada, Ahmad; Pireddu, Marina

    2015-08-01

    In the present paper, we consider a nonlinear financial market model in which, in order to decrease the complexity of the dynamics and to achieve price stabilization, we introduce a price variation limiter mechanism, which in each period bounds the price variation so that the current price is forced to belong to a certain interval determined by the price realization in the previous period. More precisely, we introduce such mechanism into a financial market model in which the price dynamics are described by a sigmoidal price adjustment mechanism characterized by the presence of two asymptotes that bound the price variation and thus the dynamics. We show that the presence of our asymptotes prevents divergence and negativity issues. Moreover, we prove that the basins of attraction are complicated only under suitable conditions on the parameters and that chaos arises just when the price limiters are loose enough. On the other hand, for some suitable parameter configurations, we detect multistability phenomena characterized by the presence of up to three coexisting attractors. PMID:26328563

  3. Introducing a price variation limiter mechanism into a behavioral financial market model

    NASA Astrophysics Data System (ADS)

    Naimzada, Ahmad; Pireddu, Marina

    2015-08-01

    In the present paper, we consider a nonlinear financial market model in which, in order to decrease the complexity of the dynamics and to achieve price stabilization, we introduce a price variation limiter mechanism, which in each period bounds the price variation so that the current price is forced to belong to a certain interval determined by the price realization in the previous period. More precisely, we introduce such mechanism into a financial market model in which the price dynamics are described by a sigmoidal price adjustment mechanism characterized by the presence of two asymptotes that bound the price variation and thus the dynamics. We show that the presence of our asymptotes prevents divergence and negativity issues. Moreover, we prove that the basins of attraction are complicated only under suitable conditions on the parameters and that chaos arises just when the price limiters are loose enough. On the other hand, for some suitable parameter configurations, we detect multistability phenomena characterized by the presence of up to three coexisting attractors.

  4. Market review - Market values summary/July market review/current market data

    SciTech Connect

    1995-08-01

    This article is the July 1995 uranium market review. Data for current uranium market is presented, and a summary of recent transactions is also given. During this reporting period, there was one concentrate deal, two transactions in the long-term natural uranium market and conversion market, and three spot market transactions in the enrichment market. Active uranium supply fell, as did demand, and prices in all sectors were relatively stable.

  5. Course Length Versus Course Price: Marketing Factors in Program Planning.

    ERIC Educational Resources Information Center

    Lamoureux, Marvin E.

    Recent program planning literature involving adult education has attempted to draw upon techniques from marketing management. Most of the literature has, however, not explored the relationship between adult education program decision needs and fundamental marketing concepts. Adult educators and marketing managers are conducting similar daily…

  6. Endogenous Price Bubbles in a Multi-Agent System of the Housing Market.

    PubMed

    Kouwenberg, Roy; Zwinkels, Remco C J

    2015-01-01

    Economic history shows a large number of boom-bust cycles, with the U.S. real estate market as one of the latest examples. Classical economic models have not been able to provide a full explanation for this type of market dynamics. Therefore, we analyze home prices in the U.S. using an alternative approach, a multi-agent complex system. Instead of the classical assumptions of agent rationality and market efficiency, agents in the model are heterogeneous, adaptive, and boundedly rational. We estimate the multi-agent system with historical house prices for the U.S. market. The model fits the data well and a deterministic version of the model can endogenously produce boom-and-bust cycles on the basis of the estimated coefficients. This implies that trading between agents themselves can create major price swings in absence of fundamental news. PMID:26107740

  7. Endogenous Price Bubbles in a Multi-Agent System of the Housing Market

    PubMed Central

    2015-01-01

    Economic history shows a large number of boom-bust cycles, with the U.S. real estate market as one of the latest examples. Classical economic models have not been able to provide a full explanation for this type of market dynamics. Therefore, we analyze home prices in the U.S. using an alternative approach, a multi-agent complex system. Instead of the classical assumptions of agent rationality and market efficiency, agents in the model are heterogeneous, adaptive, and boundedly rational. We estimate the multi-agent system with historical house prices for the U.S. market. The model fits the data well and a deterministic version of the model can endogenously produce boom-and-bust cycles on the basis of the estimated coefficients. This implies that trading between agents themselves can create major price swings in absence of fundamental news. PMID:26107740

  8. A study of correlations between crude oil spot and futures markets: A rolling sample test

    NASA Astrophysics Data System (ADS)

    Liu, Li; Wan, Jieqiu

    2011-10-01

    In this article, we investigate the asymmetries of exceedance correlations and cross-correlations between West Texas Intermediate (WTI) spot and futures markets. First, employing the test statistic proposed by Hong et al. [Asymmetries in stock returns: statistical tests and economic evaluation, Review of Financial Studies 20 (2007) 1547-1581], we find that the exceedance correlations were overall symmetric. However, the results from rolling windows show that some occasional events could induce the significant asymmetries of the exceedance correlations. Second, employing the test statistic proposed by Podobnik et al. [Quantifying cross-correlations using local and global detrending approaches, European Physics Journal B 71 (2009) 243-250], we find that the cross-correlations were significant even for large lagged orders. Using the detrended cross-correlation analysis proposed by Podobnik and Stanley [Detrended cross-correlation analysis: a new method for analyzing two nonstationary time series, Physics Review Letters 100 (2008) 084102], we find that the cross-correlations were weakly persistent and were stronger between spot and futures contract with larger maturity. Our results from rolling sample test also show the apparent effects of the exogenous events. Additionally, we have some relevant discussions on the obtained evidence.

  9. Want to Put an End to Capacity Markets? Think Real-Time Pricing

    SciTech Connect

    Reeder, Mark

    2006-07-15

    The amount of generation capacity that must be installed to meet resource adequacy requirements often causes the energy market to be suppressed to the point that it fails to produce sufficient revenues to attract new entry. A significant expansion in the use of real-time pricing can, over time, cause the energy market to become a more bountiful source of revenues for generators, allowing the elimination of the capacity market. (author)

  10. What causes oil price shocks

    SciTech Connect

    Bohi, D.R.

    1983-01-01

    It is common, though debatable, to model the world oil market as some form of a producer cartel that administers oil prices. In this context, the central question is what motivates the cartel to change prices and output. The answer is only partially given by presuming that producers seek to optimize the stream of earnings over time. Aside from complexities introduced by differences in discount rates and objective functions across producers, there is still the question of determining what the market will bear. A simple and popular explanation is that the cartel has been guided by changes in prices in spot markets. In this report, the author casts doubt on the importance of spot market prices in determining OPEC selling prices, and indeed on the proposition that OPEC price increases are administered rather than market induced. These observations are drawn from an examination of inventory and price behavior during the after the price shock of 1979. Although an alternative explanation of the 1979 experience is advanced, the primary message of this paper is that caution is advisable in accepting prevailing interpretations of how the market works. The ready corollary of this conclusion is that policies for mitigating harm during a disruption should be robust across a range of possible formulation processes. 14 refs., 6 figs., 1 tab.

  11. The price impact asymmetry of institutional trading in the Chinese stock market

    NASA Astrophysics Data System (ADS)

    Ren, Fei; Zhong, Li-Xin

    2012-04-01

    The asymmetric price impact between the institutional purchases and sales of 32 liquid stocks in the Chinese stock market in 2003 is carefully studied. We analyze the price impact in both drawup and drawdown trends with consecutive positive and negative daily price changes, and test the dependence of the price impact asymmetry on the market condition. For most of the stocks, institutional sales have a larger price impact than institutional purchases, and a larger impact of institutional purchases exists only in a few stocks with primarily increasing tendencies. We further study the mean return of trades surrounding institutional transactions, and find that the asymmetric behavior also exists before and after institutional transactions. A new variable is proposed to investigate the order book structure, and it can partially explain the price impact of institutional transactions. A linear regression for the price impact of institutional transactions further confirms our finding that institutional sales primarily have a larger price impact than institutional purchases in the bearish year 2003.

  12. How fast do stock prices adjust to market efficiency? Evidence from a detrended fluctuation analysis

    NASA Astrophysics Data System (ADS)

    Reboredo, Juan C.; Rivera-Castro, Miguel A.; Miranda, José G. V.; García-Rubio, Raquel

    2013-04-01

    In this paper we analyse price fluctuations with the aim of measuring how long the market takes to adjust prices to weak-form efficiency, i.e., how long it takes for prices to adjust to a fractional Brownian motion with a Hurst exponent of 0.5. The Hurst exponent is estimated for different time horizons using detrended fluctuation analysis-a method suitable for non-stationary series with trends-in order to identify at which time scale the Hurst exponent is consistent with the efficient market hypothesis. Using high-frequency share price, exchange rate and stock data, we show how price dynamics exhibited important deviations from efficiency for time periods of up to 15 min; thereafter, price dynamics was consistent with a geometric Brownian motion. The intraday behaviour of the series also indicated that price dynamics at trade opening and close was hardly consistent with efficiency, which would enable investors to exploit price deviations from fundamental values. This result is consistent with intraday volume, volatility and transaction time duration patterns.

  13. Model documentation: Electricity market module, electricity finance and pricing submodule

    SciTech Connect

    Not Available

    1994-04-07

    The purpose of this report is to define the objectives of the model, describe its basic approach, and provide detail on how it works. The EFP is a regulatory accounting model that projects electricity prices. The model first solves for revenue requirements by building up a rate base, calculating a return on rate base, and adding the allowed expenses. Average revenues (prices) are calculated based on assumptions regarding regulator lag and customer cost allocation methods. The model then solves for the internal cash flow and analyzes the need for external financing to meet necessary capital expenditures. Finally, the EFP builds up the financial statements. The EFP is used in conjunction with the National Energy Modeling System (NEMS). Inputs to the EFP include the forecast generating capacity expansion plans, operating costs, regulator environment, and financial data. The outputs include forecasts of income statements, balance sheets, revenue requirements, and electricity prices.

  14. 7 CFR 1221.16 - Net market price.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE SORGHUM PROMOTION, RESEARCH, AND INFORMATION ORDER Sorghum Promotion, Research, and Information Order Definitions § 1221.16 Net market...

  15. Pharma Pricing & Market Access Europe 2016--Health Network Communications' Tenth Annual Conference (February 23-25, 2016--London, UK).

    PubMed

    D'Souza, P

    2016-03-01

    Tighter national budgets and escalating drug prices continue to present challenges for pharmaceutical market access strategies and societal cost of care. As pharmaceutical companies and medical governmental advisory organizations enter tougher negotiations, hospital trusts and other dispensary firms face barriers to receiving the best medical treatment, and as a result patient access is limited. The 2016 HealthNetwork Communications' Pharma Pricing & Market Access Europe meeting brought together pharmaceutical, medical governmental advisory and stakeholders and market access/pricing consultants, to encourage discussions and negotiations into how to improve the drug pricing system and consequential market access strategies while achieving the respective reimbursement and affordability objectives. PMID:27186595

  16. Information-driven trade and price-volume relationship in artificial stock markets

    NASA Astrophysics Data System (ADS)

    Liu, Xinghua; Liu, Xin; Liang, Xiaobei

    2015-07-01

    The positive relation between stock price changes and trading volume (price-volume relationship) as a stylized fact has attracted significant interest among finance researchers and investment practitioners. However, until now, consensus has not been reached regarding the causes of the relationship based on real market data because extracting valuable variables (such as information-driven trade volume) from real data is difficult. This lack of general consensus motivates us to develop a simple agent-based computational artificial stock market where extracting the necessary variables is easy. Based on this model and its artificial data, our tests have found that the aggressive trading style of informed agents can produce a price-volume relationship. Therefore, the information spreading process is not a necessary condition for producing price-volume relationship.

  17. Association of market, mission, operational, and financial factors on hospital acquisition prices: 1999 through 2001.

    PubMed

    McCue, Michael J; Kim, Tae Hyun

    2005-01-01

    Since the Balanced Budget Act of 1997, there has been a decline in the number of hospital acquisitions. Using data from 1999 through 2001, we examined the relationship between market, mission, operational, and financial factors on hospital acquisition prices. Using an ordinary least squares regression model, we found that acquiring multihospital systems paid a higher price for larger hospitals with fewer unoccupied beds and greater profitability. Although only marginally significant, we also found that acquiring hospital systems paid a higher purchase price for hospitals in near urban markets and for hospitals located in the Central region of the United States. From a policy standpoint, we found no significant difference in the purchase price paid between for-profit and nonprofit hospitals. PMID:15773251

  18. Marketing environment dynamics and implications for pricing strategies: the case of home health care.

    PubMed

    Ponsford, B J; Barlow, D

    1999-01-01

    This research reviews the factors affecting the pricing or rate schedules of home health care agencies. A large number of factors affect costs and thus rate structures. The major factors include reimbursement structures with accompanying discount structures, administrative burdens, and risks. Channel issues include bargaining power, competition, and size. Staffing issues affect pricing and product through the provider level, productivity, and quality outcomes. Physician and patient issues include quality concerns and choices. These factors are discussed in light of overall marketing strategy and the interaction of pricing with other marketing controllables such as product, place/distribution, and promotion. Economic and accounting principles are also reviewed with consideration to understanding direct and indirect costs in order to enable negotiators to effectively price health care services. PMID:10623194

  19. Mood and the market: can press reports of investors' mood predict stock prices?

    PubMed

    Cohen-Charash, Yochi; Scherbaum, Charles A; Kammeyer-Mueller, John D; Staw, Barry M

    2013-01-01

    We examined whether press reports on the collective mood of investors can predict changes in stock prices. We collected data on the use of emotion words in newspaper reports on traders' affect, coded these emotion words according to their location on an affective circumplex in terms of pleasantness and activation level, and created indices of collective mood for each trading day. Then, by using time series analyses, we examined whether these mood indices, depicting investors' emotion on a given trading day, could predict the next day's opening price of the stock market. The strongest findings showed that activated pleasant mood predicted increases in NASDAQ prices, while activated unpleasant mood predicted decreases in NASDAQ prices. We conclude that both valence and activation levels of collective mood are important in predicting trend continuation in stock prices. PMID:24015202

  20. Mood and the Market: Can Press Reports of Investors' Mood Predict Stock Prices?

    PubMed Central

    Scherbaum, Charles A.; Kammeyer-Mueller, John D.

    2013-01-01

    We examined whether press reports on the collective mood of investors can predict changes in stock prices. We collected data on the use of emotion words in newspaper reports on traders' affect, coded these emotion words according to their location on an affective circumplex in terms of pleasantness and activation level, and created indices of collective mood for each trading day. Then, by using time series analyses, we examined whether these mood indices, depicting investors' emotion on a given trading day, could predict the next day's opening price of the stock market. The strongest findings showed that activated pleasant mood predicted increases in NASDAQ prices, while activated unpleasant mood predicted decreases in NASDAQ prices. We conclude that both valence and activation levels of collective mood are important in predicting trend continuation in stock prices. PMID:24015202

  1. Multifractality of sectoral price indices: Hurst signature analysis of Cantillon effects in disequilibrium factor markets

    NASA Astrophysics Data System (ADS)

    Mulligan, Robert F.

    2014-06-01

    This paper presents Hurst exponent signatures from time series of aggregate price indices for the US over the 1975-2011 time period. Though all highly aggregated, these indices include both broad measures of consumer and producer prices. The constellation of prices evolves as a complex system throughout processes of production and distribution, culminating in the final delivery of output to consumers. Massive feedback characterizes this system, where the demand for consumable output determines the demand for the inputs used to produce it, and supply scarcities for the necessary inputs in turn determine the supply of the final product. Prices in both factor and output markets are jointly determined by interdependent supply and demand conditions. Fractal examination of the interplay among market prices would be of interest regardless, but added interest arises from the consideration of how these markets respond to external shocks over the business cycle, particularly monetary expansion. Because the initial impact of monetary injection is localized in specific sectors, the way the impact on prices diffuses throughout the economy is of special interest.

  2. Pricing of range accrual swap in the quantum finance Libor Market Model

    NASA Astrophysics Data System (ADS)

    Baaquie, Belal E.; Du, Xin; Tang, Pan; Cao, Yang

    2014-05-01

    We study the range accrual swap in the quantum finance formulation of the Libor Market Model (LMM). It is shown that the formulation can exactly price the path dependent instrument. An approximate price is obtained as an expansion in the volatility of Libor. The Monte Carlo simulation method is used to study the nonlinear domain of the model and determine the range of validity of the approximate formula. The price of accrual swap is analyzed by generating daily sample values by simulating a two dimension Gaussian quantum field.

  3. The impact of competition on quality and prices in the English care homes market

    PubMed Central

    Forder, Julien; Allan, Stephen

    2014-01-01

    This study assesses the impact of competition on quality and price in the English care/nursing homes market. Considering the key institutional features, we use a theoretical model to assess the conditions under which further competition could increase or reduce quality. A dataset comprising the population of 10,000 care homes was used. We constructed distance/travel-time weighted competition measures. Instrumental variable estimations, used to account for the endogeneity of competition, showed quality and price were reduced by greater competition. Further analyses suggested that the negative quality effect worked through the effect on price – higher competition reduces revenue which pushes down quality. PMID:24487075

  4. Structural changes in the German pharmaceutical market: price setting mechanisms based on the early benefit evaluation.

    PubMed

    Henschke, Cornelia; Sundmacher, Leonie; Busse, Reinhard

    2013-03-01

    In the past, free price setting mechanisms in Germany led to high prices of patented pharmaceuticals and to increasing expenditures in the pharmaceutical sector. In order to control patented pharmaceutical prices and to curb increasing pharmaceutical spending, the Act for Restructuring the Pharmaceutical Market in Statutory Health Insurance (AMNOG) came into effect on 1st January 2011. In a structured dossier, pharmaceutical manufacturers have to demonstrate the additional therapeutic benefit of the newly approved pharmaceutical compared to its appropriate comparator. According to the level of additional benefit, pharmaceuticals will be subject to price negotiations between the Federal Association of Statutory Health Insurance Funds and the pharmaceutical company concerned (or assigned to a reference price group in case of no additional benefit). Therefore, the health care reform is a first step to decision making based on "value for money". The process of price setting based on early benefit evaluation has an impact on the German as well as the European pharmaceutical markets. Therefore, these structural changes in Germany are of importance for pricing decisions in many European countries both from a political point of view and for strategic planning for pharmaceutical manufacturers, which may have an effect on insured patients' access to pharmaceuticals. PMID:23339876

  5. Determining the Effects on Residential Electricity Prices and Carbon Emissions of Electricity Market Restructuring in Alberta

    NASA Astrophysics Data System (ADS)

    Jahangir, Junaid Bin

    When electricity restructuring initiatives were introduced in Alberta, and finalized with the institution of retail electricity market competition in 2001, it was argued that the changes would deliver lower electricity prices to residential consumers. However, residential electricity prices in Alberta increased dramatically in 2001, and have never returned to their pre-restructuring levels. Proponents of restructuring argue that electricity prices would have been even higher under continued regulation, citing the effect of considerably higher natural gas prices and the roles of other variables. However, many Alberta residential electricity consumers tend to attribute their higher electricity prices to factors such as market power and manipulation associated with restructuring. Since the effects of restructuring on electricity prices cannot be evaluated by simply comparing prices before and after it occurred, the main objective of this thesis is to determine what electricity prices would have been under continued regulation, and to compare them with what was actually observed. To determine these counterfactual electricity prices, a structural model of the determinants of Alberta residential electricity prices is developed, estimated for the prerestructuring period, and used to forecast (counterfactual) prices in the postrestructuring period. However, in forming these forecasts it is necessary to separately account for changes in explanatory variables that could be viewed as occurring due to the restructuring (endogenous) from those changes that would Since the effects of restructuring on electricity prices cannot be evaluated by simply comparing prices before and after it occurred, the main objective of this thesis is to determine what electricity prices would have been under continued regulation, and to compare them with what was actually observed. To determine these counterfactual electricity prices, a structural model of the determinants of Alberta residential

  6. 7 CFR 5.2 - Marketing season average price data.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... citations affecting § 5.2 see the List of CFR Sections Affected, which appears in the Finding Aids section... market Artichokes, asparagus, snap beans, broccoli, cabbage, cantaloupe, carrots, cauliflower,...

  7. 7 CFR 5.2 - Marketing season average price data.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... citations affecting § 5.2 see the List of CFR Sections Affected, which appears in the Finding Aids section... market Artichokes, asparagus, snap beans, broccoli, cabbage, cantaloupe, carrots, cauliflower,...

  8. 7 CFR 5.2 - Marketing season average price data.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... citations affecting § 5.2 see the List of CFR Sections Affected, which appears in the Finding Aids section... market Artichokes, asparagus, snap beans, broccoli, cabbage, cantaloupe, carrots, cauliflower,...

  9. 7 CFR 5.2 - Marketing season average price data.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... citations affecting § 5.2 see the List of CFR Sections Affected, which appears in the Finding Aids section... market Artichokes, asparagus, snap beans, broccoli, cabbage, cantaloupe, carrots, cauliflower,...

  10. 7 CFR 5.2 - Marketing season average price data.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... citations affecting § 5.2 see the List of CFR Sections Affected, which appears in the Finding Aids section... market Artichokes, asparagus, snap beans, broccoli, cabbage, cantaloupe, carrots, cauliflower,...

  11. Validity of urinary monoamine assay sales under the “spot baseline urinary neurotransmitter testing marketing model”

    PubMed Central

    Hinz, Marty; Stein, Alvin; Uncini, Thomas

    2011-01-01

    Spot baseline urinary monoamine assays have been used in medicine for over 50 years as a screening test for monoamine-secreting tumors, such as pheochromocytoma and carcinoid syndrome. In these disease states, when the result of a spot baseline monoamine assay is above the specific value set by the laboratory, it is an indication to obtain a 24-hour urine sample to make a definitive diagnosis. There are no defined applications where spot baseline urinary monoamine assays can be used to diagnose disease or other states directly. No peer-reviewed published original research exists which demonstrates that these assays are valid in the treatment of individual patients in the clinical setting. Since 2001, urinary monoamine assay sales have been promoted for numerous applications under the “spot baseline urinary neurotransmitter testing marketing model”. There is no published peer-reviewed original research that defines the scientific foundation upon which the claims for these assays are made. On the contrary, several articles have been published that discredit various aspects of the model. To fill the void, this manuscript is a comprehensive review of the scientific foundation and claims put forth by laboratories selling urinary monoamine assays under the spot baseline urinary neurotransmitter testing marketing model. PMID:21912487

  12. Chicago's water market: Dynamics of demand, prices and scarcity rents

    USGS Publications Warehouse

    Ipe, V.C.; Bhagwat, S.B.

    2002-01-01

    Chicago and its suburbs are experiencing an increasing demand for water from a growing population and economy and may experience water scarcity in the near future. The Chicago metropolitan area has nearly depleted its groundwater resources to a point where interstate conflicts with Wisconsin could accompany an increased reliance on those sources. Further, the withdrawals from Lake Michigan is limited by the Supreme Court decree. The growing demand and indications of possible scarcity suggest a need to reexamine the pricing policies and the dynamics of demand. The study analyses the demand for water and develops estimates of scarcity rents for water in Chicago. The price and income elasticities computed at the means are -0.002 and 0.0002 respectively. The estimated scarcity rents ranges from $0.98 to $1.17 per thousand gallons. The results indicate that the current prices do not fully account for the scarcity rents and suggest a current rate with in the range $1.53 to $1.72 per thousand gallons.

  13. Uranium market enters slow summer period as enrichment market heats up. [Uranium market overview - May 1993

    SciTech Connect

    Not Available

    1993-06-01

    Prices slipped in the restricted and unrestricted uranium markets. Prices in the restricted market remained above the $10-benchmark, with uranium trading in the relatively narrow range of $10.05 to $10.20 per lb U3O8. Meanwhile, NUKEM detected a lowering and widening of the range in the unrestricted market; $7.10 to $7.45 per lb U3O8 was the order of the day there. The other notable feature of recent price movements has been the aggressive competition in the US spot conversion market. Many analysts have noted favorable prices for UF6 relative to components in recent market activity. Summer doldrums appear to be setting in. May and a correspondingly small number of offers are outstanding as of the end of the month. Last month NUKEM inaugurated a spot conversion price range and asked for readers' views. Those expressing an opinion were unanimous; NUKEM will publish both its longstanding estimate of new contract prices as well as the spot range. Some noted the somewhat wide range of last month's spot conversion prices. In explanation, we note that this figure encompasses activity over the full month and in the US as well as the non-US markets. Thus, it resembles the spot SWU range.

  14. Predicting inter-season price jumps in the market for temporary water allocations

    NASA Astrophysics Data System (ADS)

    Plummer, Jonathan; Schreider, Sergei

    2015-06-01

    The market for temporary water allocations in the Northern Victoria Regulated river system has matured to the point where new instruments to manage risk can be of benefit to water users. One of these instruments could be a series of option contracts issued by the Water Authority. However a serious impediment to the introduction of options is the variation in prices across seasons. Prices jump between the end of one season and the beginning of the next mean that appropriate option strike prices cannot be determined until a period of trading in the new season allows price discovery to take place. This prevents an options market being available at the beginning of the season when it is most useful to irrigators. In this paper we look at winter rainfall for the town of Jamieson, upstream of Lake Eildon and the volume of water in Lake Eildon as predictors of the price of temporary water allocations at the beginning of the irrigation season. We develop a climate driven regression model which allows us to link the inter-seasonal jumps with the biophysical parameters of the system. By better understanding the factors dictating the size of the price jumps between seasons options can be developed that are not restricted to the current season. We also consider the implications of the infrastructure upgrades currently underway and recent policy changes on the market for temporary water allocations. The carryover policy which allows water to be kept for use in subsequent seasons, and the reserve policy, which is designed to allow the delivery of initial allocations and water carried over at the start of the irrigation season each year, are two recent policy innovations. These policies should smooth prices and reduce the jump in prices that have been seen between irrigation seasons.

  15. The evolving price of household LED lamps: Recent trends and historical comparisons for the US market

    SciTech Connect

    Gerke, Brian F.; Ngo, Allison T.; Alstone, Andrea L.; Fisseha, Kibret S.

    2014-10-14

    In recent years, household LED light bulbs (LED A lamps) have undergone a dramatic price decline. Since late 2011, we have been collecting data, on a weekly basis, for retail offerings of LED A lamps on the Internet. The resulting data set allows us to track the recent price decline in detail. LED A lamp prices declined roughly exponentially with time in 2011-2014, with decline rates of 28percent to 44percent per year depending on lumen output, and with higher-lumen lamps exhibiting more rapid price declines. By combining the Internet price data with publicly available lamp shipments indices for the US market, it is also possible to correlate LED A lamp prices against cumulative production, yielding an experience curve for LED A lamps. In 2012-2013, LED A lamp prices declined by 20-25percent for each doubling in cumulative shipments. Similar analysis of historical data for other lighting technologies reveals that LED prices have fallen significantly more rapidly with cumulative production than did their technological predecessors, which exhibited a historical decline of 14-15percent per doubling of production.

  16. Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing

    SciTech Connect

    Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

    2005-08-25

    Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer

  17. Stochastic processes in the social sciences: Markets, prices and wealth distributions

    NASA Astrophysics Data System (ADS)

    Romero, Natalia E.

    The present work uses statistical mechanics tools to investigate the dynamics of markets, prices, trades and wealth distribution. We studied the evolution of market dynamics in different stages of historical development by analyzing commodity prices from two distinct periods ancient Babylon, and medieval and early modern England. We find that the first-digit distributions of both Babylon and England commodity prices follow Benfords law, indicating that the data represent empirical observations typically arising from a free market. Further, we find that the normalized prices of both Babylon and England agricultural commodities are characterized by stretched exponential distributions, and exhibit persistent correlations of a power law type over long periods of up to several centuries, in contrast to contemporary markets. Our findings suggest that similar market interactions may underlie the dynamics of ancient agricultural commodity prices, and that these interactions may remain stable across centuries. To further investigate the dynamics of markets we present the analogy between transfers of money between individuals and the transfer of energy through particle collisions by means of the kinetic theory of gases. We introduce a theoretical framework of how the micro rules of trading lead to the emergence of income and wealth distribution. Particularly, we study the effects of different types of distribution of savings/investments among individuals in a society and different welfare/subsidies redistribution policies. Results show that while considering savings propensities the models approach empirical distributions of wealth quite well the effect of redistribution better captures specific features of the distributions which earlier models failed to do; moreover the models still preserve the exponential decay observed in empirical income distributions reported by tax data and surveys.

  18. Exponential model for option prices: Application to the Brazilian market

    NASA Astrophysics Data System (ADS)

    Ramos, Antônio M. T.; Carvalho, J. A.; Vasconcelos, G. L.

    2016-03-01

    In this paper we report an empirical analysis of the Ibovespa index of the São Paulo Stock Exchange and its respective option contracts. We compare the empirical data on the Ibovespa options with two option pricing models, namely the standard Black-Scholes model and an empirical model that assumes that the returns are exponentially distributed. It is found that at times near the option expiration date the exponential model performs better than the Black-Scholes model, in the sense that it fits the empirical data better than does the latter model.

  19. Empirical evaluation of the market price of risk using the CIR model

    NASA Astrophysics Data System (ADS)

    Bernaschi, M.; Torosantucci, L.; Uboldi, A.

    2007-03-01

    We describe a simple but effective method for the estimation of the market price of risk. The basic idea is to compare the results obtained by following two different approaches in the application of the Cox-Ingersoll-Ross (CIR) model. In the first case, we apply the non-linear least squares method to cross sectional data (i.e., all rates of a single day). In the second case, we consider the short rate obtained by means of the first procedure as a proxy of the real market short rate. Starting from this new proxy, we evaluate the parameters of the CIR model by means of martingale estimation techniques. The estimate of the market price of risk is provided by comparing results obtained with these two techniques, since this approach makes possible to isolate the market price of risk and evaluate, under the Local Expectations Hypothesis, the risk premium given by the market for different maturities. As a test case, we apply the method to data of the European Fixed Income Market.

  20. Optimization models and techniques for implementation and pricing of electricity markets

    NASA Astrophysics Data System (ADS)

    Madrigal Martinez, Marcelino

    Vertically integrated electric power systems extensively use optimization models and solution techniques to guide their optimal operation and planning. The advent of electric power systems re-structuring has created needs for new optimization tools and the revision of the inherited ones from the vertical integration era into the market environment. This thesis presents further developments on the use of optimization models and techniques for implementation and pricing of primary electricity markets. New models, solution approaches, and price setting alternatives are proposed. Three different modeling groups are studied. The first modeling group considers simplified continuous and discrete models for power pool auctions driven by central-cost minimization. The direct solution of the dual problems, and the use of a Branch-and-Bound algorithm to solve the primal, allows to identify the effects of disequilibrium, and different price setting alternatives over the existence of multiple solutions. It is shown that particular pricing rules worsen the conflict of interest that arise when multiple solutions exist under disequilibrium. A price-setting alternative based on dual variables is shown to diminish such conflict. The second modeling group considers the unit commitment problem. An interior-point/cutting-plane method is proposed for the solution of the dual problem. The new method has better convergence characteristics and does not suffer from the parameter tuning drawback as previous methods The robustness characteristics of the interior-point/cutting-plane method, combined with a non-uniform price setting alternative, show that the conflict of interest is diminished when multiple near optimal solutions exist. The non-uniform price setting alternative is compared to a classic average pricing rule. The last modeling group concerns to a new type of linear network-constrained clearing system models for daily markets for power and spinning reserve. A new model and

  1. Utility cost accounting and market pricing of electricity at the Naval Postgraduate School. Master's thesis

    SciTech Connect

    Murdter, M.J.

    1994-06-01

    This thesis demonstrates that significant cost savings may be realized at the Naval Postgraduate School by accounting for utilities costs with market pricing methods instead of engineering estimates of consumption for nonmetered users and by streamlining the current invoice processing procedures. Electricity demand curves for each element of the supplier rate structure were constructed from recent consumption data and price elasticities of demand from the literature. The deadweight losses from overconsumption were calculated and compared to the costs of installing meters capable of recording time-of-use and peak demand. The current invoice processing procedures were analyzed and spreadsheet tools were developed to streamline the processes and avoid interest charges from late payment. The results of the research indicate that market pricing of electricity and accelerated invoice processing would result in significant savings to the Naval Postgraduate School. Utilities, Electricity, Deadweight loss.

  2. Natural Gas Marketer Prices and Sales To Residential and Commercial Customers: 2002-2005

    EIA Publications

    2007-01-01

    This report compares residential and commercial prices collected from natural gas marketers and local distribution companies in Maryland, New York, Ohio and Pennsylvania from 2002-2005 and gives the history and status of natural gas choice programs in those states.

  3. 13 CFR 124.511 - How is fair market price determined for an 8(a) contract?

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 13 Business Credit and Assistance 1 2011-01-01 2011-01-01 false How is fair market price determined for an 8(a) contract? 124.511 Section 124.511 Business Credit and Assistance SMALL BUSINESS ADMINISTRATION 8(a) BUSINESS DEVELOPMENT/SMALL DISADVANTAGED BUSINESS STATUS DETERMINATIONS 8(a)...

  4. 13 CFR 124.511 - How is fair market price determined for an 8(a) contract?

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 13 Business Credit and Assistance 1 2012-01-01 2012-01-01 false How is fair market price determined for an 8(a) contract? 124.511 Section 124.511 Business Credit and Assistance SMALL BUSINESS ADMINISTRATION 8(a) BUSINESS DEVELOPMENT/SMALL DISADVANTAGED BUSINESS STATUS DETERMINATIONS 8(a)...

  5. 78 FR 46799 - Use of Market Economy Input Prices in Nonmarket Economy Proceedings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-02

    ... Market Economy Input Prices in Nonmarket Economy Proceedings, 77 FR 38553 (June 28, 2012) (``Proposed..., 71 FR 61716 (October 19, 2006). \\3\\ See Countervailing Duty Investigation of Coated Free Sheet Paper... Republic of China; Final Results of Antidumping Duty Administrative Review, 63 FR 63834, 63838 (Nov....

  6. Collective Behavior of Stock Prices as a Precursor to Market Crash

    NASA Astrophysics Data System (ADS)

    Maskawa, J.

    We study precursors to the global market crash that occurred onall main stock exchanges throughout the world in October 2008 about three weeks after the bankruptcy of Lehman Brothers Holdings Inc. on 15 September. We examine the collective behavior of stock returns and analyze the market mode, which is a market-wide collective mode, with constituent issues of the FTSE 100 index listed on the London Stock Exchange. Before the market crash, a sharp rise in a measure of the collective behavior was observed. It was shown to be associated with news including the words ``financial crisis". They did not impact stock prices severely alone, but they exacerbated the pessimistic mood that prevailed among stock market participants. Such news increased after the Lehman shock preceding the market crash. The variance increased along with the cumulative amount of news according to a power law.

  7. Trends in water market activity and price in the western United States

    NASA Astrophysics Data System (ADS)

    Brown, Thomas C.

    2006-09-01

    Over 2000 water market transactions that occurred in the western United States from 1990 to 2003 were examined to learn who sold to whom and for what purpose, how much water was involved, and how much it sold for. The transactions show that much more water changes hands via leases than via sales of water rights. Public agencies and irrigators are the most common lessors, with lessees being fairly evenly distributed across types of buyers. However, with water rights sales, irrigators are by far the most common sellers and municipalities the most common buyers. Across the West in general, the number of leases has been rising in recent years, as have their prices. The prices of water right sales have also been rising, but the number of sales has not. The price of water is highly variable both within and between western states, reflecting the localized nature of the factors that affect water prices.

  8. Tannin profile of different Monastrell wines and its relation to projected market prices.

    PubMed

    Gómez-Plaza, Encarna; Olmos, Oscar; Bautista-Ortín, Ana Belén

    2016-08-01

    This study focuses on the differences or similarities in tannin composition and concentration in Monastrell wines from different wineries from the same geographic area and, within each winery, from wines elaborated based on different projected market prices, to determine whether there is any relationship between the wine tannin composition and the projected price. The tannin composition of the different wines, all of them analyzed at the same point during winemaking, indicated that those elaborated as premium wines presented higher phenol and tannin contents. The mean degree of polymerization of these wines was also positively related with the projected price, which agreed with the results obtained by size exclusion chromatography, that showed that wines with high projected prices had a higher proportion of polymeric tannins, suggesting that techniques favoring the extraction of skin tannins were mostly used in those wines projected as premium wines, probably looking for greater mouthfeel complexity. PMID:26988530

  9. Order flow dynamics around extreme price changes on an emerging stock market

    NASA Astrophysics Data System (ADS)

    Mu, Guo-Hua; Zhou, Wei-Xing; Chen, Wei; Kertész, János

    2010-07-01

    We study the dynamics of order flows around large intraday price changes using ultra-high-frequency data from the Shenzhen Stock Exchange. We find a significant reversal of price for both intraday price decreases and increases with a permanent price impact. The volatility, the volume of different types of orders, the bid-ask spread and the volume imbalance increase before the extreme events and decay slowly as a power law, which forms a well-established peak. The volume of buy market orders increases faster and the corresponding peak appears earlier than for sell market orders around positive events, while the volume peak of sell market orders leads buy market orders in the magnitude and time around negative events. When orders are divided into four groups according to their aggressiveness, we find that the behaviors of order volume and order number are similar, except for buy limit orders and canceled orders that the peak of order number postpones 2 min later after the peak of order volume, implying that investors placing large orders are more informed and play a central role in large price fluctuations. We also study the relative rates of different types of orders and find differences in the dynamics of relative rates between buy orders and sell orders and between individual investors and institutional investors. There is evidence that institutions behave very differently from individuals and that they have more aggressive strategies. Combining these findings, we conclude that institutional investors are better informed and play a more influential role in driving large price fluctuations.

  10. Strong volume, stable prices

    SciTech Connect

    1993-11-01

    This article is the September-October 1993 market report, providing trading volume and prices in the Uranium market. Activity was brisk, with 15 deals concluded. Six were in the spot concentrates market, with four of the six deals involving U.S. utilities and approximately 1.8M pounds of U3O8 equivalent. There were five conversion deals announced, with four of the five deals involving U.S. utilities. Four deals were concluded in the enrichment market, and the deals involving U.S. utilities were approximately 327k SWUs. On the horizon, there are deals for approximately 4.1M SWU.