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Sample records for eurodollars

  1. Eurodollars and the US money supply

    SciTech Connect

    Balbach, A.B.; Resler, D.H.

    1980-06-01

    It is frequently asserted that the Eurodollar market has contributed substantially to worldwide inflation and general economic instability. Eurodollars allegedly move with ease from country to country, disrupting national credit and money markets and creating fears about the inflationary consequences for the US economy if all these dollars pour back into the US banking system. This article addresses a related question by focusing on the relationship between the Eurodollar market and monetary control. It assumes throughout that the Federal Reserve System does not engage in Eurodollar transactions or alter its monetary policy as a result of such transactions. The first section of the article describes the Eurodollar market. The second section illustrates, through the use of balance sheets, how Eurodollar transactions may affect the US money supply. The third section investigates the effects of Eurodollar transactions on the US money supply in the context of a money-multiplier model.

  2. 7 CFR Appendix B to Subpart E of... - Federal Reserve Statistical Release

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... Statistical Release Federal Reserve Statistical Release These data are released each Monday. The availability... rates on nationally traded certificates of deposit. 9 Bid rates for Eurodollar deposits at 11 a.m... the Federal Reserve Bank of New York. 12 Auction date for daily data; weekly and monthly...

  3. 7 CFR Appendix B to Subpart E of... - Federal Reserve Statistical Release

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... Statistical Release Federal Reserve Statistical Release These data are released each Monday. The availability... rates on nationally traded certificates of deposit. 9 Bid rates for Eurodollar deposits at 11 a.m... the Federal Reserve Bank of New York. 12 Auction date for daily data; weekly and monthly...

  4. It ain't necessarily so about high rates: memo to the Fed

    SciTech Connect

    Wright, J.W.

    1981-06-21

    The author sees high interest rates and the rise of energy prices as the cause of the US economic troubles and the resultant decline of standard of living. Eurodollars have come into the US for investment, raised the domestic money supply and, therefore, nullified the tight money policy of the Federal Reserve Board. The author advocates a plan be devised to cut interest rates below 8% and control credit. (PSB)

  5. Developing new mathematical method for search of the time series periodicity with deletions and insertions

    NASA Astrophysics Data System (ADS)

    Korotkov, E. V.; Korotkova, M. A.

    2017-01-01

    The purpose of this study was to detect latent periodicity in the presence of deletions or insertions in the analyzed data, when the points of deletions or insertions are unknown. A mathematical method was developed to search for periodicity in the numerical series, using dynamic programming and random matrices. The developed method was applied to search for periodicity in the Euro/Dollar (Eu/) exchange rate, since 2001. The presence of periodicity within the period length equal to 24 h in the analyzed financial series was shown. Periodicity can be detected only with insertions and deletions. The results of this study show that periodicity phase shifts, depend on the observation time. The reasons for the existence of the periodicity in the financial ranks are discussed.

  6. Nonstationary increments, scaling distributions, and variable diffusion processes in financial markets

    NASA Astrophysics Data System (ADS)

    Bassler, Kevin E.; McCauley, Joseph L.; Gunaratne, Gemunu H.

    2007-10-01

    Fat-tailed distributions have been reported in fluctuations of financial markets for more than a decade. Sliding interval techniques used in these studies implicitly assume that the underlying stochastic process has stationary increments. Through an analysis of intraday increments, we explicitly show that this assumption is invalid for the Euro-Dollar exchange rate. We find several time intervals during the day where the standard deviation of increments exhibits power law behavior in time. Stochastic dynamics during these intervals is shown to be given by diffusion processes with a diffusion coefficient that depends on time and the exchange rate. We introduce methods to evaluate the dynamical scaling index and the scaling function empirically. In general, the scaling index is significantly smaller than previously reported values close to 0.5. We show how the latter as well as apparent fat-tailed distributions can occur only as artifacts of the sliding interval analysis.

  7. Highly flexible distributions to fit multiple frequency financial returns

    NASA Astrophysics Data System (ADS)

    BenSaïda, Ahmed; Slim, Skander

    2016-01-01

    Financial data are usually studied via low flexible distributions, independently of the frequency of the data, due to their simplicity and analytical tractability. In this paper we analyze two highly flexible five-parameter distributions into fitting financial returns, these are the skewed generalized t (SGT) and the generalized hyperbolic (GH). Applications carried on two exchange rates (Euro-Dollar and Dollar-Yen), and two indexes (S&P 500 and Nikkei 225) over four frequencies: weekly, daily, 30-min and 5-min, confirm the superiority of the SGT and GH in approximating the distribution of a given data at a remarkable precision. Moreover, as we move from higher to lower frequency, the distribution's overall shape does indeed change radically, and the estimated parameters refute the tendency to normality, which calls into question the aggregational Gaussianity's stylized fact.

  8. 7 CFR Appendix B to Subpart E of... - Federal Reserve Statistical Release

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ....95 6.93 6.88 6.51 6.84 6.94 7.17 6-Month 6.95 6.98 6.95 6.88 6.51 6.85 6.97 7.17 Eurodollar deposits....59 6.56 6.51 6.27 6.51 6.58 6.64 2-Year 7.12 7.10 7.07 7.05 6.83 7.03 7.09 7.13 3-Year 7.38 7.35 7.34.... London time. 10 One of several base rates used by banks to price short-term business loans. 11 Rate...

  9. Estimating time-varying conditional correlations between stock and foreign exchange markets

    NASA Astrophysics Data System (ADS)

    Tastan, Hüseyin

    2006-02-01

    This study explores the dynamic interaction between stock market returns and changes in nominal exchange rates. Many financial variables are known to exhibit fat tails and autoregressive variance structure. It is well-known that unconditional covariance and correlation coefficients also vary significantly over time and multivariate generalized autoregressive model (MGARCH) is able to capture the time-varying variance-covariance matrix for stock market returns and changes in exchange rates. The model is applied to daily Euro-Dollar exchange rates and two stock market indexes from the US economy: Dow-Jones Industrial Average Index and S&P500 Index. The news impact surfaces are also drawn based on the model estimates to see the effects of idiosyncratic shocks in respective markets.

  10. Ridge Polynomial Neural Network with Error Feedback for Time Series Forecasting.

    PubMed

    Waheeb, Waddah; Ghazali, Rozaida; Herawan, Tutut

    2016-01-01

    Time series forecasting has gained much attention due to its many practical applications. Higher-order neural network with recurrent feedback is a powerful technique that has been used successfully for time series forecasting. It maintains fast learning and the ability to learn the dynamics of the time series over time. Network output feedback is the most common recurrent feedback for many recurrent neural network models. However, not much attention has been paid to the use of network error feedback instead of network output feedback. In this study, we propose a novel model, called Ridge Polynomial Neural Network with Error Feedback (RPNN-EF) that incorporates higher order terms, recurrence and error feedback. To evaluate the performance of RPNN-EF, we used four univariate time series with different forecasting horizons, namely star brightness, monthly smoothed sunspot numbers, daily Euro/Dollar exchange rate, and Mackey-Glass time-delay differential equation. We compared the forecasting performance of RPNN-EF with the ordinary Ridge Polynomial Neural Network (RPNN) and the Dynamic Ridge Polynomial Neural Network (DRPNN). Simulation results showed an average 23.34% improvement in Root Mean Square Error (RMSE) with respect to RPNN and an average 10.74% improvement with respect to DRPNN. That means that using network errors during training helps enhance the overall forecasting performance for the network.

  11. Ridge Polynomial Neural Network with Error Feedback for Time Series Forecasting

    PubMed Central

    Ghazali, Rozaida; Herawan, Tutut

    2016-01-01

    Time series forecasting has gained much attention due to its many practical applications. Higher-order neural network with recurrent feedback is a powerful technique that has been used successfully for time series forecasting. It maintains fast learning and the ability to learn the dynamics of the time series over time. Network output feedback is the most common recurrent feedback for many recurrent neural network models. However, not much attention has been paid to the use of network error feedback instead of network output feedback. In this study, we propose a novel model, called Ridge Polynomial Neural Network with Error Feedback (RPNN-EF) that incorporates higher order terms, recurrence and error feedback. To evaluate the performance of RPNN-EF, we used four univariate time series with different forecasting horizons, namely star brightness, monthly smoothed sunspot numbers, daily Euro/Dollar exchange rate, and Mackey-Glass time-delay differential equation. We compared the forecasting performance of RPNN-EF with the ordinary Ridge Polynomial Neural Network (RPNN) and the Dynamic Ridge Polynomial Neural Network (DRPNN). Simulation results showed an average 23.34% improvement in Root Mean Square Error (RMSE) with respect to RPNN and an average 10.74% improvement with respect to DRPNN. That means that using network errors during training helps enhance the overall forecasting performance for the network. PMID:27959927

  12. Financial policy in a small open oil-exporting developing country: The case of Oman

    SciTech Connect

    Kalmoor, M.A.

    1988-01-01

    This study investigates the role of financial policy in small open oil-exporting countries, taking Oman as a case study. The study focuses on the interest rate, inflationary financing, and the optimal exchange-rate peg question. Simulation of the macroeconomic model of the Omani economy showed that had the interest rate ceiling policy been removed, the country would have witnessed higher growth rates during the period in which the Eurodollar deposit rates were higher than the ceiling rate on local currency time deposits. The simulation results showed that credit-driven inflationary financing was self-defeating to the extent that the trade balance deteriorated by an amount more-or-less equivalent to the increase in government credit. Finally, an attempt was made to identify the optional exchange-rate peg for the country. The study compared three pegs: the U.S. dollar, the SDR, and an import-weighted basket. It found the SDR to be the most preferable peg. It provided the greatest stability in imported and domestic inflation.