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Predicción No-Lineal De Tipos De Cambio: Algoritmos Genéticos, Redes Neuronales Y Fusión De Datos

Author

Listed:
  • Marcos Álvarez-Díaz
  • Alberto Álvarez

Abstract

It is widely proved the existence of non-linear deterministic structures in the exchange rates dynamic. In this work we intend to exploit these non-linear structures using forecasting methods such as Genetic Algorithm and Neural Networks in the specific case of the Yen/$ and British Pound/$ exchange rates. We also employ a novel perspective, called Data Fusion, based on the combination of the obtained results by the non-linear methods to verify if it exists a synergic effect which permits a predictive improvement. The analysis is performed considering both the point prediction and the devaluation or appreciation anticipation

Suggested Citation

  • Marcos Álvarez-Díaz & Alberto Álvarez, 2002. "Predicción No-Lineal De Tipos De Cambio: Algoritmos Genéticos, Redes Neuronales Y Fusión De Datos," Working Papers 0205, Universidade de Vigo, Departamento de Economía Aplicada.
    • Handle: RePEc:vig:wpaper:0205
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    References listed on IDEAS

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    More about this item

    Keywords

    Data Fusion; Genetic Algorithms; Neural Networks; Exchange Rates Forecasting;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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