Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks
AbstractThere has been an increased number of papers in the literature in recent years, applying several methods and techniques for exchange - rate prediction. This paper focuses on the Greek drachma using daily observations of the drachma rates against four major currencies, namely the U.S. Dollar (USD), the Deutsche Mark (DM), the French Franc (FF) and the British Pound (GBP) for a period of 11 years, aiming at forecasting their short-term course by applying local approximation methods based on both chaotic analysis and neural networks.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 17764.
Date of creation: Dec 1998
Date of revision:
Publication status: Published in European Research Studies 4.1(1998): pp. 5-33
Key Words: Exchange Rates; Forecasting; Neural Networks;
Find related papers by JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
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- Kenneth D. West & Dongchul Cho, 1994.
"The Predictive Ability of Several Models of Exchange Rate Volatility,"
NBER Technical Working Papers
0152, National Bureau of Economic Research, Inc.
- West, Kenneth D. & Cho, Dongchul, 1995. "The predictive ability of several models of exchange rate volatility," Journal of Econometrics, Elsevier, vol. 69(2), pages 367-391, October.
- West, K.D. & Cho, D., 1993. "The Predictive Ability of Several Models of Exchange Rate Volatility," Working papers 9317r, Wisconsin Madison - Social Systems.
- West, K.D. & Cho, D., 1993. "The Predictive Ability of Several Models of Exchange Rate Volatility," Working papers 9317, Wisconsin Madison - Social Systems.
- 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.
- Marsh, Ian W. & Power, David M., 1996. "A note on the performance of foreign exchange forecasters in a portfolio framework," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 605-613, April.
- Jeffrey A. Frankel, 1993. "On Exchange Rates," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061546, January.
- Medio,Alfredo & Gallo,Giampaolo, 1995. "Chaotic Dynamics," Cambridge Books, Cambridge University Press, number 9780521484619, November.
- Pavlos Karadeloglou & Christos Papazoglou & George Zombanakis, 1998. "Is the Exchange Rate an Effective Anti-inflationary Policy Instrument?," Ekonomia, Cyprus Economic Society and University of Cyprus, vol. 2(1), pages 47-72, Summer.
- Brissimis, Sophocles N. & Leventakis, John A., 1989. "The effectiveness of devaluation: A general equilibrium assessment with reference to Greece," Journal of Policy Modeling, Elsevier, vol. 11(2), pages 247-271.
- Panayiotis Diamantis & George Kouretas, . "Exchange Rate Determination: Empirical For The Greek Drachma," Working Papers 9504, University of Crete, Department of Economics.
- Booth, G. Geoffrey & Kaen, Fred R. & Koveos, Peter E., 1982. "R/S analysis of foreign exchange rates under two international monetary regimes," Journal of Monetary Economics, Elsevier, vol. 10(3), pages 407-415.
- Kim, Benjamin J. C. & Mo, Soowon, 1995. "Cointegration and the long-run forecast of exchange rates," Economics Letters, Elsevier, vol. 48(3-4), pages 353-359, June.
- Mark P. Taylor, 1995. "The Economics of Exchange Rates," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 13-47, March.
- Pesaran, M Hashem & Potter, Simon M, 1992. "Nonlinear Dynamics and Econometrics: An Introduction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S1-7, Suppl. De.
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