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An analysis of the robustness of Genetic Algorithm (GA) methodology in the design of trading systems for the Stock Exchange

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  • NUÑEZ, Laura, 2002. "An analysis of the robustness of Genetic Algorithm (GA) methodology in the design of trading systems for the Stock Exchange," Computing in Economics and Finance 2002 29, Society for Computational Economics.
    • Handle: RePEc:sce:scecf2:29
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    References listed on IDEAS

    as
    1. Franklin Allen & Risto Karjalainen, "undated". "Using Genetic Algorithms to Find Technical Trading Rules (Revised: 20-95)," Rodney L. White Center for Financial Research Working Papers 20-93, Wharton School Rodney L. White Center for Financial Research.
    2. Allen, Franklin & Karjalainen, Risto, 1999. "Using genetic algorithms to find technical trading rules," Journal of Financial Economics, Elsevier, vol. 51(2), pages 245-271, February.
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    More about this item

    Keywords

    genetic algorithms; financial markets; trading systems; technical analysis;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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