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Profitability of intraday and interday momentum strategies

Author

Listed:
  • Vincent Wing-Shing Lam
  • Terence Tai-Leung Chong
  • Wing-Keung Wong

Abstract

In this article, we examine whether a day's surge or plummet in stock price serve as a market entry or exit signal. Returns of five trading rules based on 1-day and intraday momentum are estimated for major world stock indices. It is found that the trading rules perform well in the Asian indices but not in those of Europe and the United States.

Suggested Citation

  • Vincent Wing-Shing Lam & Terence Tai-Leung Chong & Wing-Keung Wong, 2007. "Profitability of intraday and interday momentum strategies," Applied Economics Letters, Taylor & Francis Journals, vol. 14(15), pages 1103-1108.
    • Handle: RePEc:taf:apeclt:v:14:y:2007:i:15:p:1103-1108
    DOI: 10.1080/13504850600606067
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    Citations

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    Cited by:

    1. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    2. Michael McAleer & John Suen & Wing Keung Wong, 2016. "Profiteering from the Dot-Com Bubble, Subprime Crisis and Asian Financial Crisis," The Japanese Economic Review, Springer, vol. 67(3), pages 257-279, September.
    3. Wong, Wing-Keung & McAleer, Michael, 2009. "Mapping the Presidential Election Cycle in US stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(11), pages 3267-3277.
    4. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    5. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    6. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Econometric Institute Research Papers 18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Alfred Ma, 2022. "Profitability of technical trading strategies under market manipulation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-9, December.
    8. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    9. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.
    10. Paulo Sergio Ceretta & Alexandre Silva Da costa, 2017. "The Gap Effect on the Brazilian Exchange," Economics Bulletin, AccessEcon, vol. 37(4), pages 2505-2516.

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