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Profitable momentum trading strategies for individual investors

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  • Bryan Foltice
  • Thomas Langer

Abstract

For nearly three decades, scientific studies have explored momentum investing strategies and observed stable excess returns in various financial markets. However, the trading strategies typically analyzed in such research are not accessible to individual investors due to short selling constraints, nor are they profitable due to high trading costs. Incorporating these constraints, we explore a simplified momentum trading strategy that only exploits excess returns from topside momentum for a small number of individual stocks. Building on US data from the New York Stock Exchange from July 1991 to December 2010, we analyze whether such a simplified momentum strategy outperforms the benchmark after factoring in realistic transaction costs and risks. We find that the strategy can indeed work for individual investors with initial investment amounts of at least $5,000. In further attempts to improve this practical trading strategy, we analyze an overlapping momentum trading strategy consisting of a more frequent trading of a smaller number of “winner” stocks. We find that increasing the trading frequency initially increases the risk-adjusted returns of these portfolios up to an optimal point, after which excessive transaction costs begin to dominate the scene. In a calibration study, we find that, depending on the initial investment amount of the portfolio, the optimal momentum trading frequency ranges from bi-yearly to monthly. Copyright Swiss Society for Financial Market Research 2015

Suggested Citation

  • Bryan Foltice & Thomas Langer, 2015. "Profitable momentum trading strategies for individual investors," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 29(2), pages 85-113, May.
  • Handle: RePEc:kap:fmktpm:v:29:y:2015:i:2:p:85-113
    DOI: 10.1007/s11408-015-0246-4
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    References listed on IDEAS

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    Cited by:

    1. Kwon, Oh Kang & Satchell, Stephen, 2018. "The distribution of cross sectional momentum returns," Journal of Economic Dynamics and Control, Elsevier, vol. 94(C), pages 225-241.
    2. Xiao-Yang Liu & Hongyang Yang & Qian Chen & Runjia Zhang & Liuqing Yang & Bowen Xiao & Christina Dan Wang, 2020. "FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance," Papers 2011.09607, arXiv.org, revised Mar 2022.
    3. Renata Guobužaitė & Deimantė Teresienė, 2021. "Can Economic Factors Improve Momentum Trading Strategies? The Case of Managed Futures during the COVID-19 Pandemic," Economies, MDPI, vol. 9(2), pages 1-16, May.
    4. Sherif, Mohamed & Chen, Jiaqi, 2019. "The quality of governance and momentum profits: International evidence," The British Accounting Review, Elsevier, vol. 51(5).
    5. Chandrinos, Spyros K. & Lagaros, Nikos D., 2018. "Construction of currency portfolios by means of an optimized investment strategy," Operations Research Perspectives, Elsevier, vol. 5(C), pages 32-44.
    6. Tim A. Herberger & Matthias Horn & Andreas Oehler, 2020. "Are intraday reversal and momentum trading strategies feasible? An analysis for German blue chip stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 179-197, June.
    7. Martin H. Schmidt, 2017. "Trading strategies based on past returns: evidence from Germany," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(2), pages 201-256, May.
    8. Ryan G. Chacon & Thibaut G. Morillon & Ruixiang Wang, 2023. "Will the reddit rebellion take you to the moon? Evidence from WallStreetBets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(1), pages 1-25, March.
    9. Benjamin R. Auer, 2021. "Have trend-following signals in commodity futures markets become less reliable in recent years?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(4), pages 533-553, December.

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    More about this item

    Keywords

    Momentum investing; Personal finance; Portfolio management; G11; G12; G14;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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