IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v19y2010i4p527-538.html
   My bibliography  Save this article

The profitability of momentum trading strategies: Empirical evidence from Hong Kong

Author

Listed:
  • Cheng, Joseph W.
  • Wu, Hiu-fung

Abstract

This paper investigates whether momentum trading strategies are profitable in the Hong Kong stock market, and examines the sources of such profitability. Momentum portfolios are significantly profitable in the intermediate term in Hong Kong, but the profits become insignificant after risk adjustment by the Chordia and Shivakumar (2001) model. The stock-specific return strategy and factor-related return strategy are analyzed to examine which portion of the total return causes stocks to enter extreme portfolios. The Chordia and Shivakumar factor-related return strategy obtains profits with a magnitude that is close to that which is attained by the total return momentum strategy. Additional evidence further supports the view that the Chordia and Shivakumar model captures momentum profits.

Suggested Citation

  • Cheng, Joseph W. & Wu, Hiu-fung, 2010. "The profitability of momentum trading strategies: Empirical evidence from Hong Kong," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 527-538, October.
  • Handle: RePEc:eee:reveco:v:19:y:2010:i:4:p:527-538
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059-0560(10)00030-4
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    2. K. Geert Rouwenhorst, 1998. "International Momentum Strategies," Journal of Finance, American Finance Association, vol. 53(1), pages 267-284, February.
    3. Jegadeesh, Narasimhan, 1990. " Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    4. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    5. John M. Griffin, 2002. "Are the Fama and French Factors Global or Country Specific?," Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 783-803.
    6. Conrad, Jennifer & Kaul, Gautam, 1998. "An Anatomy of Trading Strategies," Review of Financial Studies, Society for Financial Studies, vol. 11(3), pages 489-519.
    7. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    8. Charles M.C. Lee & Bhaskaran Swaminathan, 2000. "Price Momentum and Trading Volume," Journal of Finance, American Finance Association, vol. 55(5), pages 2017-2069, October.
    9. Chui, Andy C. W. & Wei, K. C. John, 1998. "Book-to-market, firm size, and the turn-of-the-year effect: Evidence from Pacific-Basin emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 6(3-4), pages 275-293, August.
    10. K. Geert Rouwenhorst, 1999. "Local Return Factors and Turnover in Emerging Stock Markets," Journal of Finance, American Finance Association, vol. 54(4), pages 1439-1464, August.
    11. Bruce N. Lehmann, 1988. "Fads, Martingales, and Market Efficiency," NBER Working Papers 2533, National Bureau of Economic Research, Inc.
    12. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    13. Tarun Chordia & Lakshmanan Shivakumar, 2002. "Momentum, Business Cycle, and Time-varying Expected Returns," Journal of Finance, American Finance Association, vol. 57(2), pages 985-1019, April.
    14. repec:hrv:faseco:30747159 is not listed on IDEAS
    15. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, Oxford University Press, vol. 105(1), pages 1-28.
    16. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    17. Jonathan Lewellen, 2002. "Momentum and Autocorrelation in Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 533-564, March.
    18. Allaudeen Hameed & Yuanto Kusnadi, 2002. "Momentum Strategies: Evidence from Pacific Basin Stock Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 25(3), pages 383-397.
    19. Fama, Eugene F & French, Kenneth R, 1996. " Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    20. Narasimhan Jegadeesh, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    21. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. " Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bianconi, Marcelo & Yoshino, Joe A., 2012. "Firm Market Performance and Volatility in a National Real Estate Sector," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 230-253.
    2. Alwathainani, Abdulaziz M., 2012. "Consistent winners and losers," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 210-220.
    3. Wei, J.R. & Huang, J.P. & Hui, P.M., 2013. "An agent-based model of stock markets incorporating momentum investors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(12), pages 2728-2735.
    4. Hung, Chi-Hsiou D. & Banerjee, Anurag N., 2014. "How do momentum strategies ‘score’ against individual investors in Taiwan, Hong Kong and Korea?," Emerging Markets Review, Elsevier, vol. 21(C), pages 67-81.
    5. Kao, Erin H., 2011. "Momentum and reversals in Taiwan index futures returns during periods of extreme trading imbalance," International Review of Economics & Finance, Elsevier, vol. 20(3), pages 459-467, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reveco:v:19:y:2010:i:4:p:527-538. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.