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Components of the profitability of technical currency trading

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  • Stephan Schulmeister

Abstract

This paper investigates the sources of the profitability of 1024 technical models when trading in the German mark (euro)/U.S. dollar market. The main results are as follows. First, each of these models would have been profitable over the entire sample period. Second, this profitability is exclusively due to the exploitation of exchange rate trends. Third, these results do not change substantially when trading is examined within subperiods. Fourth, the 25 best performing models in each in-sample period examined were profitable also out of sample in most cases. Fifth, the profitability of technical currency trading has been declining since the late 1980s.

Suggested Citation

  • Stephan Schulmeister, 2008. "Components of the profitability of technical currency trading," Applied Financial Economics, Taylor & Francis Journals, vol. 18(11), pages 917-930.
  • Handle: RePEc:taf:apfiec:v:18:y:2008:i:11:p:917-930
    DOI: 10.1080/09603100701335416
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    References listed on IDEAS

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    1. Park, Cheol-Ho & Irwin, Scott H., 2004. "The Profitability of Technical Analysis: A Review," AgMAS Project Research Reports 37487, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    2. Mende, Alexander & Menkhoff, Lukas, 2006. "Profits and speculation in intra-day foreign exchange trading," Journal of Financial Markets, Elsevier, vol. 9(3), pages 223-245, August.
    3. Bofinger, Peter & Schmidt, Robert, 2003. "Should one rely on professional exchange rate forecasts: An empirical analysis of professional forecasts for the €/US-$ rate," W.E.P. - Würzburg Economic Papers 38, University of Würzburg, Chair for Monetary Policy and International Economics.
    4. Lukas Menkhoff & Rafael Rebitzky & Michael Schroder, 2008. "Do dollar forecasters believe too much in PPP?," Applied Economics, Taylor & Francis Journals, vol. 40(3), pages 261-270.
    5. Lukas Menkhoff & Mark P. Taylor, 2007. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Journal of Economic Literature, American Economic Association, vol. 45(4), pages 936-972, December.
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    Cited by:

    1. Ülkü, Numan & Prodan, Eugeniu, 2013. "Drivers of technical trend-following rules' profitability in world stock markets," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 214-229.
    2. Stephan Schulmeister, 2014. "A General Financial Transactions Tax. Motives, Effects and Implementation According to the Proposal of the European Commission," WIFO Working Papers 461, WIFO.
    3. Lukas Menkhoff & Mark P. Taylor, 2007. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Journal of Economic Literature, American Economic Association, vol. 45(4), pages 936-972, December.
    4. Schulmeister, Stephan, 2006. "The interaction between technical currency trading and exchange rate fluctuations," Finance Research Letters, Elsevier, vol. 3(3), pages 212-233, September.
    5. Roman Frydman & Michael D. Goldberg & Søren Johansen & Katarina Juselius, 2008. "A Resolution of the Purchasing Power Parity Puzzle: Imperfect Knowledge and Long Swings," Discussion Papers 08-31, University of Copenhagen. Department of Economics.
    6. Works, Richard Floyd, 2016. "Econometric modeling of exchange rate determinants by market classification: An empirical analysis of Japan and South Korea using the sticky-price monetary theory," MPRA Paper 76382, University Library of Munich, Germany.
    7. Stephan Schulmeister, 2009. "Die neue Weltwirtschaftskrise - Ursachen, Folgen, Gegenstrategien," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 106, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    8. Stephan Schulmeister, 2015. "The struggle over the Financial Transactions Tax. A politico-economic farce," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 15-55.
    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.
    10. Todea, Alexandru & Zoicas Ienciu, Adrian, 2011. "Technical Analysis and Stochastic Properties of Exchange Rate Movements: Empirical Evidence from the Romanian Currency Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 175-192, March.
    11. Schulmeister, Stephan, 2009. "Aggregate trading behaviour of technical models and the yen/dollar exchange rate 1976-2007," Japan and the World Economy, Elsevier, vol. 21(3), pages 270-279, August.
    12. Christopher J. Neely & Paul A. Weller, 2011. "Technical analysis in the foreign exchange market," Working Papers 2011-001, Federal Reserve Bank of St. Louis.
    13. Stephan Schulmeister, 2007. "The Interaction Between the Aggregate Behaviour of Technical Trading Systems and Stock Price Dynamics," WIFO Working Papers 290, WIFO.
    14. Works, Richard & Haan, Perry, 2017. "An Empirical Study of Japanese and South Korean Exchange Rates Using the Sticky-Price Monetary Theory," MPRA Paper 77235, University Library of Munich, Germany.
    15. Stephan Schulmeister, 2007. "Performance of Technical Trading Systems in the Yen/Dollar Market," WIFO Working Papers 291, WIFO.

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