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Testing Currency Predictability Using An Evolutionary Neural Network Model

Author

Listed:
  • Andreou, A.
  • Georgakopoulos, E.
  • Likothanassis, S.
  • Zombanakis, George A.

Abstract

Two alternative learning approaches of a MLP Neural Network architecture are employed to forecast foreign currencies against the Greek Drachma, a Back-Propagation with a hyperbolic tangent activation scheme and an evolutionary trained model. Four major currency data series, namely the U. S. Dollar, the British Pound, the French Franc and the Deutsche Mark, are used in this forecasting experiment. Extended simulations have shown a high predictive ability, which is significantly better when using the actual rates compared to using the logarithmic returns of each series. The genetic algorithm performs best on FF and DM, while the back-propagation on USD and BP.

Suggested Citation

  • Andreou, A. & Georgakopoulos, E. & Likothanassis, S. & Zombanakis, George A., 1998. "Testing Currency Predictability Using An Evolutionary Neural Network Model," MPRA Paper 51483, University Library of Munich, Germany, revised 24 Mar 1998.
  • Handle: RePEc:pra:mprapa:51483
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    File URL: https://mpra.ub.uni-muenchen.de/51483/1/MPRA_paper_51483.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
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    Cited by:

    1. A. S. Andreou & G. A. Zombanakis & E. F. Georgopoulos & S. D. Likothanassis, 2000. "In search of a warning strategy against exchange-rate attacks: Forecasting tactics using artificial neural networks," Discrete Dynamics in Nature and Society, Hindawi, vol. 5, pages 1-17, January.

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    More about this item

    Keywords

    Currency Forecasting Artificial Neural Networks;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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