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Optimization of technical rules by genetic algorithms: evidence from the Madrid stock market Author info | Abstract | Publisher info | Download info | Related research | Statistics Fernando Fernández-Rodríguez
Christian González-Martel
Simón Sosvilla-Rivero
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This 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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Article provided by Taylor and Francis Journals in its journal Applied Financial Economics .
Volume (Year): 15 (2005)
Issue (Month): 11 (July)
Pages: 773-775
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Handle: RePEc:taf:apfiec:v:15:y:2005:i:11:p:773-775Contact details of provider: Web page: http://www.tandf.co.uk/journals/routledge/09603107.html
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Simón Sosvilla-Rivero, .
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Bonin, Holger & Abio, Gemma & Berenguer, Eduardo & Gil, Joan & Patxot, Concepció, 2001.
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Stephan Schulmeister, 2007.
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