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Performance of Technical Trading Systems in the Yen/Dollar Market

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  • Stephan Schulmeister

Abstract

The study investigates the profitability of 1,024 moving average and momentum models and their components in the yen/dollar market. It turns out that all models would have been profitable between 1976 and 1999. The pattern of profitability is as follows: the models produce more single losses than single profits, however, the size of the single profits is on average much higher than the size of single losses. Hence, the profitability of technical currency trading is exclusively due to the exploitation of persistent exchange rate trends. These results hold also when technical trading is examined over subperiods. The models which perform best over the most recent subperiod are in most cases significantly profitable also ex ante. However, the profitability of technical currency trading based on daily data has declined since the late 1980s and has disappeared over the out-of-sample period between 2000 and 2004.

Suggested Citation

  • Stephan Schulmeister, 2007. "Performance of Technical Trading Systems in the Yen/Dollar Market," WIFO Working Papers 291, WIFO.
  • Handle: RePEc:wfo:wpaper:y:2007:i:291
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    File URL: https://www.wifo.ac.at/wwa/pubid/29058
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    References listed on IDEAS

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    9. Schulmeister, Stephan, 2009. "Profitability of technical stock trading: Has it moved from daily to intraday data?," Review of Financial Economics, Elsevier, vol. 18(4), pages 190-201, October.
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    14. Stephan Schulmeister, 2000. "Technical Analysis and Exchange Rate Dynamics," WIFO Studies, WIFO, number 25857, February.
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    Cited by:

    1. Michel Beine & Paul De Grauwe & Marianna Grimaldi, 2014. "The Impact of FX Central Bank Intervention in a Noise Trading Framework," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 6, pages 189-216, World Scientific Publishing Co. Pte. Ltd..
    2. Stephan Schulmeister, 2007. "The Interaction Between the Aggregate Behaviour of Technical Trading Systems and Stock Price Dynamics," WIFO Working Papers 290, WIFO.

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