Optimisation of Technical Rules by Genetic Algorithms: Evidence from the Madrid Stock Market
AbstractThis paper investigates the profitability of a simple and very common technical trading rule applied to the General Index of the Madrid Stock Market. The optimal trading rule parameter values are found using a genetic algorithm. The results suggest that, for reasonable trading costs, the technical trading rule is always superior to a risk-adjusted buy-and-hold strategy.
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Bibliographic InfoPaper provided by FEDEA in its series Working Papers with number 2001-14.
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2001-10-16 (All new papers)
- NEP-CMP-2001-10-16 (Computational Economics)
- NEP-EVO-2001-10-16 (Evolutionary Economics)
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- Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada-Félix, . "Technical analysis in the Madrid stock exchange," Studies on the Spanish Economy 23, FEDEA.
- Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992.
" Simple Technical Trading Rules and the Stochastic Properties of Stock Returns,"
Journal of Finance,
American Finance Association, vol. 47(5), pages 1731-64, December.
- Brock, W. & Lakonishok, J. & Lebaron, B., 1991. "Simple Technical Trading Rules And The Stochastic Properties Of Stock Returns," Working papers 90-22, Wisconsin Madison - Social Systems.
- 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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