Revue Organisation et Travail
Volume 7, Numéro 2, Pages 121-131
2018-09-30

Using Genetic Algorithms For Forecasting Financial Markets Volatility



Authors : Mouffok Omar . Souar Youcef .

Abstract

This study aims to use Genetic Algorithms as a developed artificial intelligent technique to forecast volatility of financial markets according to Econometrics principals. Therefore, we try to apply it on three stock markets depending on their indexes time series: Tunindex, Madex and Dow Jones. Using Evolver software, we succeeded to obtain the optimal forecasting models, and then we make a comparison with Econometrics methods using EViews. From the results, we conclude that it is possible to use Genetic Algorithms efficiently in financial markets volatility forecasting, in addition it has some advantages concerning analytical characteristics comparing to the other methods.

Keywords

genetic algorithms ; volatility ; financial markets ; quantitative methods ; forecasting ; time series ; optimization.

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