Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks

Andreou, Andreas S. and Zombanakis, George A. and Georgopoulos, E. F. and Likothanassis, S. D. (1998): Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks. Published in: European Research Studies , Vol. 1, No. 4 (December 1998): pp. 5-33.

Abstract

There 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.

• Item Type: MPRA Paper
• Language: English
• Keywords: Key Words: Exchange Rates, Forecasting, Neural Networks
• Subjects: C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C45 - Neural Networks and Related Topics

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