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Momentum trading strategy and investment horizon: an experimental study


  • Yuri Khoroshilov


Purpose - Existing empirical studies that document momentum trading strategies do not provide any insight on how investors choose the time horizon that is used to compute the past stock returns. Indeed, since past returns over overlapping time periods are positively correlated, it is hard to identify the exact historical time period on which investors base their trading strategies and to investigate whether such a period is unique. The purpose of this paper is to investigate this and reach some conclusions. Design/methodology/approach - In this paper the author uses experimental setting to analyze how investors choose which of the past returns to use as a basis for their trading strategies and whether this choice depends on their investment horizon. The advantage of this experimental setting over the existing empirical research is the ability to control for the investment horizon of the subjects and the ability to provide the subjects with a hand-picked set of stocks with uncorrelated past returns over overlapping time periods. In the study subjects were asked to make short-term investment decisions based on historical short-term realized returns over two time intervals of different lengths. In each treatment the subjects were divided into two groups based on the lengths of their investment horizons, which were set to match the lengths of time intervals used to compute the historical returns. Findings - It was found that subjects followed momentum trading strategies based on both historical returns provided to them and paid more attention to the historical returns over the shorter time period. In addition, some evidence was found that subjects with longer investment horizons rely less on momentum strategies. Originality/value - A wide sample was used to create an original set of observations and conclusions.

Suggested Citation

  • Yuri Khoroshilov, 2012. "Momentum trading strategy and investment horizon: an experimental study," Journal of Economic Studies, Emerald Group Publishing, vol. 39(1), pages 4-12, January.
  • Handle: RePEc:eme:jespps:v:39:y:2012:i:1:p:4-12

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    References listed on IDEAS

    1. Richard De Abreu Lourenco & David Gruen, 1995. "Price Stickiness and Inflation," RBA Research Discussion Papers rdp9502, Reserve Bank of Australia.
    2. Döpke Jörg & Pierdzioch Christian, 2003. "Inflation and the Skewness of the Distribution of Relative Price Changes: Empirical Evidence for Germany / Inflation und die Schiefe der Verteilung relativer Preisänderungen: Empirische Evidenz für De," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(2), pages 136-158, April.
    3. A. Özlem Önder, 2004. "Forecasting Inflation in Emerging Markets by Using the Phillips Curve and Alternative Time Series Models," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 40(2), pages 71-82, March.
    4. Debelle, Guy & Lamont, Owen, 1997. "Relative Price Variability and Inflation: Evidence from U.S. Cities," Journal of Political Economy, University of Chicago Press, vol. 105(1), pages 132-152, February.
    5. A. Ozlem Onder, 2009. "The stability of the Turkish Phillips curve and alternative regime shifting models," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2597-2604.
    6. Holly, Sean, 1997. "Relative Price Dispersion and the Rate of Inflation: The Evidence from Japan," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 12, pages 206-226.
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    Cited by:

    1. Arnold, Lutz G. & Brunner, Stephan, 2015. "The economics of rational speculation in the presence of positive feedback trading," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 161-174.


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