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Can profitability through momentum strategies be enhanced applying a range to standard deviation filter?

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  • Mitra, Subrata Kumar
  • Bawa, Jaslene
  • Kannadhasan, M.
  • Goyal, Vinay
  • Chattopadhyay, Manojit

Abstract

The study used a Range to Standard deviation (R/S) filter along with the Jegadeesh and Titman (JT- momentum rule, 1993) momentum rule to identify the existence of trend persistence and the possibility of generating trading opportunities in the 30 stock indexes across 25 countries for the period January 2001 to November 2015. We conducted detailed analyses of stock index data to gauge whether profits could be improved using an additional (R/S) filter. Finally, we performed a paired t-test to compare whether the annualized profits generated through (R/S) & momentum rule and the JT-momentum rule were different.

Suggested Citation

  • Mitra, Subrata Kumar & Bawa, Jaslene & Kannadhasan, M. & Goyal, Vinay & Chattopadhyay, Manojit, 2017. "Can profitability through momentum strategies be enhanced applying a range to standard deviation filter?," Finance Research Letters, Elsevier, vol. 20(C), pages 269-273.
  • Handle: RePEc:eee:finlet:v:20:y:2017:i:c:p:269-273
    DOI: 10.1016/j.frl.2016.10.007
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    References listed on IDEAS

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    1. Holmberg, Ulf & Lönnbark, Carl & Lundström, Christian, 2013. "Assessing the profitability of intraday opening range breakout strategies," Finance Research Letters, Elsevier, vol. 10(1), pages 27-33.
    2. Lillo Fabrizio & Farmer J. Doyne, 2004. "The Long Memory of the Efficient Market," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-35, September.
    3. Peter W.B. Phillips, 1992. "Analysis," Challenge, Taylor & Francis Journals, vol. 35(1), pages 57-59, January.
    4. Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    5. Jacobsen, Ben, 1996. "Long term dependence in stock returns," Journal of Empirical Finance, Elsevier, vol. 3(4), pages 393-417, December.
    6. Greene, Myron T. & Fielitz, Bruce D., 1977. "Long-term dependence in common stock returns," Journal of Financial Economics, Elsevier, vol. 4(3), pages 339-349, May.
    7. Benoit B. Mandelbrot, 1972. "Statistical Methodology for Nonperiodic Cycles: From the Covariance To R/S Analysis," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 259-290, National Bureau of Economic Research, Inc.
    8. Moskowitz, Tobias J. & Ooi, Yao Hua & Pedersen, Lasse Heje, 2012. "Time series momentum," Journal of Financial Economics, Elsevier, vol. 104(2), pages 228-250.
    9. Barkoulas, John T. & Baum, Christopher F., 1996. "Long-term dependence in stock returns," Economics Letters, Elsevier, vol. 53(3), pages 253-259, December.
    10. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    11. Du, Ding & Denning, Karen, 2005. "Industry momentum and common factors," Finance Research Letters, Elsevier, vol. 2(3), pages 107-124, September.
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    Cited by:

    1. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.

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