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Analyzing Short Term Momentum Effect on Stock Market of Hong Kong. An Empirical Case Study

Author

Listed:
  • Cristi Spulbar

    (University of Craiova)

  • Zulfiqar Ali Imran

    (University of Lahore)

  • Ramona Birau

    (University of Craiova)

Abstract

Existence of short-term momentum effect is a widely disputed topic. This paper aims to solve the dispute and examine the presence of short-term momentum effect in the stock market of Hong Kong. Empirical results of 16 monthly price momentum investment strategies suggest that short term momentum effect has been found in Hong Kong’s stock market and it is overwhelmingly strong. Future research should focus on investigating momentum effect using weekly and daily price momentum strategies.

Suggested Citation

  • Cristi Spulbar & Zulfiqar Ali Imran & Ramona Birau, 2019. "Analyzing Short Term Momentum Effect on Stock Market of Hong Kong. An Empirical Case Study," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 889-894, December.
    • Handle: RePEc:ovi:oviste:v:xix:y:2019:i:2:p:889-894
    as

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    References listed on IDEAS

    as
    1. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    2. Andy C.W. Chui & Sheridan Titman & K.C. John Wei, 2010. "Individualism and Momentum around the World," Journal of Finance, American Finance Association, vol. 65(1), pages 361-392, February.
    3. repec:pri:cepsud:91malkiel is not listed on IDEAS
    4. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    5. 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, September.
    6. 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.
    7. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    8. John M. Griffin & Xiuqing Ji & J. Spencer Martin, 2003. "Momentum Investing and Business Cycle Risk: Evidence from Pole to Pole," Journal of Finance, American Finance Association, vol. 58(6), pages 2515-2547, December.
    9. 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.
    10. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    momentum strategy; zero cost momentum portfolio; above average return; winner portfolios; loser portfolios;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

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