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Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach

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Author Info
Neely, Christopher
Weller, Paul
Dittmar, Rob

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Abstract

Using genetic programming techniques to find technical trading rules, we find strong evidence of economically significant out-of-sample excess returns to those rules for each of six exchange rates over the period 1981 1995. Further, when the dollar/Deutsche mark rules are allowed to determine trades in the other markets, there is significant improvement in performance in all cases, except for the Deutsche mark/yen. Betas calculated for the returns according to various benchmark portfolios provide no evidence that the returns to these rules are compensation for bearing systematic risk. Bootstrapping results on the dollar/Deutsche mark indicate that the trading rules detect patterns in the data that are not captured by standard statistical models.

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Publisher Info
Article provided by Cambridge University Press in its journal Journal of Financial and Quantitative Analysis.

Volume (Year): 32 (1997)
Issue (Month): 04 (December)
Pages: 405-426
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Handle: RePEc:cup:jfinqa:v:32:y:1997:i:04:p:405-426_00

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This page was last updated on 2009-11-21.


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