Fractional Differencing Modeling and Forecasting of Eurocurrency Deposit Rates
AbstractWe investigate the low frequency properties of three- and six- month rates for Eurocurrency deposits denominated in eight major currencies with specific emphasis on fractional dynamics. Using the fractional integration testing procedure suggested by Geweke and Porter-Hudak (1983), we find that several of the Eurocurrency deposit rates are fractionally integrated processes with long memory. These findings have important implications for econometric modeling, forecasting, and cointegration testing of Eurocurrency rates.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Boston College Department of Economics in its series Boston College Working Papers in Economics with number 317..
Length: 25 pages
Date of creation: 01 Jan 1996
Date of revision:
Publication status: published, Journal of Financial Research, Fall 1997.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
Eurocurrency rates; fractional cointegration; long memory;
Other versions of this item:
- Barkoulas, John T & Baum, Christopher F, 1997. "Fractional Differencing Modeling and Forecasting of Eurocurrency Deposit Rates," Journal of Financial Research, Southern Finance Association & Southwestern Finance Association, vol. 20(3), pages 355-72, Fall.
- E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Greene, Myron T. & Fielitz, Bruce D., 1977. "Long-term dependence in common stock returns," Journal of Financial Economics, Elsevier, vol. 4(3), pages 339-349, May.
- Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
- Barkoulas, John T & Labys, Walter C & Onochie, Joseph I, 1999. "Long Memory In Futures Prices," The Financial Review, Eastern Finance Association, vol. 34(1), pages 91-100, February.
- Ray, Bonnie K., 1993. "Long-range forecasting of IBM product revenues using a seasonal fractionally differenced ARMA model," International Journal of Forecasting, Elsevier, vol. 9(2), pages 255-269, August.
- Lo, Andrew W. (Andrew Wen-Chuan), 1989.
"Long-term memory in stock market prices,"
3014-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Cheung, Yin-Wong, 1993. "Long Memory in Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 93-101, January.
- Barkoulas, John T. & Baum, Christopher F., 1996.
"Long-term dependence in stock returns,"
Elsevier, vol. 53(3), pages 253-259, December.
- Guglielmo Maria Caporale & Luis A. Gil-Alana, 2011.
"Persistence and Cyclical Dependence in the Monthly Euribor Rate,"
Discussion Papers of DIW Berlin
1165, DIW Berlin, German Institute for Economic Research.
- Guglielmo Maria Caporale & Luis A. Gil-Alana, 2011. "Persistence and Cyclical Dependence in the Monthly Euribor Rate," CESifo Working Paper Series 3653, CESifo Group Munich.
- Pami Dua, 2008.
"Interest Rate Modeling and Forecasting in India,"
- John Barkoulas & Christopher F. Baum, 2003.
"Long-Memory Forecasting of U.S. Monetary Indices,"
Boston College Working Papers in Economics
558, Boston College Department of Economics.
- Pan, Ming-Shiun & Liu, Y. Angela, 1999. "Fractional cointegration, long memory, and exchange rate dynamics," International Review of Economics & Finance, Elsevier, vol. 8(3), pages 305-316, September.
- Ellis, Craig & Wilson, Patrick, 2004. "Another look at the forecast performance of ARFIMA models," International Review of Financial Analysis, Elsevier, vol. 13(1), pages 63-81.
- John T. Barkoulas & Christopher F. Baum & Mustafa Caglayan & Atreya Chakraborty, 1998. "Persistent Dependence in Foreign Exchange Rates? A Reexamination," Boston College Working Papers in Economics 377, Boston College Department of Economics, revised 21 Apr 2000.
- Mulligan, Robert F. & Lombardo, Gary A., 2004. "Maritime businesses: volatile stock prices and market valuation inefficiencies," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 321-336, May.
- Mulligan, Robert F. & Koppl, Roger, 2011. "Monetary policy regimes in macroeconomic data: An application of fractal analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 201-211, May.
- Dominguez, Emilio & Novales, Alfonso, 2000. "Testing the expectations hypothesis in Eurodeposits," Journal of International Money and Finance, Elsevier, vol. 19(5), pages 713-736, October.
- Mulligan, Robert F., 2004. "Fractal analysis of highly volatile markets: an application to technology equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 155-179, February.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum).
If references are entirely missing, you can add them using this form.