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Technical Analysis Profitability when Exchange Rates are Pegged: A Note

Author

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  • Bertrand Maillet

    (TEAM - Théories et Applications en Microéconomie et Macroéconomie - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Thierry Michel

Abstract

This note extends earlier results which concluded that generally technical analysis trading rules were profitable when applied to several US dollar exchange rates. These results were linked to the presence of long swings in the dollar series, and here, it is tested whether they still hold in a different setting, with a quasi-fixed exchange rate system. Applying non-parametric and parametric tests to the main European currencies does not allow to confirm, in this case, the profitability of these rules. These results strengthen the likelihood of the hypothesis of a causal link from the exchange rate DGP to the profitability of technical analysis trading rules, as already highlighted in several articles.

Suggested Citation

  • Bertrand Maillet & Thierry Michel, 2005. "Technical Analysis Profitability when Exchange Rates are Pegged: A Note," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00308979, HAL.
    • Handle: RePEc:hal:cesptp:hal-00308979
    DOI: 10.1080/13518470210124614
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    References listed on IDEAS

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    1. Hendrik Bessembinder & Kalok Chan, 1998. "Market Efficiency and the Returns to Technical Analysis," Financial Management, Financial Management Association, vol. 27(2), Summer.
    2. Bertrand Maillet & Thierry Michel, 2000. "Further insights on the puzzle of technical analysis profitability," The European Journal of Finance, Taylor & Francis Journals, vol. 6(2), pages 196-224.
    3. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 2001. "Dangers of data mining: The case of calendar effects in stock returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 249-286, November.
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    6. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1765, August.
    7. Curcio, Riccardo, et al, 1997. "Do Technical Trading Rules Generate Profits? Conclusions from the Intra-day Foreign Exchange Market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(4), pages 267-280, October.
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    10. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1770, August.
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