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A look under the hood of momentum funds

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  • Banegas, Ayelen
  • Rosa, Carlo

Abstract

Momentum investing has surged over the past few years. Using a comprehensive dataset of US equity funds, this paper examines the economic value of momentum funds. Overall, we find that risk-adjusted returns of momentum funds are, on average, negative, and most of the time series variation of those returns is explained by exposure to the market factor. Furthermore, momentum funds do not improve the performance of investors who already invest in Fama–French factors. Finally, we show that the long-only nature of momentum funds appears to be a key driver of their negative alpha, while market frictions explain only part of it.

Suggested Citation

  • Banegas, Ayelen & Rosa, Carlo, 2022. "A look under the hood of momentum funds," Economics Letters, Elsevier, vol. 217(C).
  • Handle: RePEc:eee:ecolet:v:217:y:2022:i:c:s0165176522002117
    DOI: 10.1016/j.econlet.2022.110654
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    References listed on IDEAS

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    1. Victor DeMiguel & Lorenzo Garlappi & Raman Uppal, 2009. "Optimal Versus Naive Diversification: How Inefficient is the 1-N Portfolio Strategy?," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1915-1953, May.
    2. Elton, Edwin J & Gruber, Martin J & Blake, Christopher R, 1996. "Survivorship Bias and Mutual Fund Performance," The Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1097-1120.
    3. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    4. Israel, Ronen & Moskowitz, Tobias J., 2013. "The role of shorting, firm size, and time on market anomalies," Journal of Financial Economics, Elsevier, vol. 108(2), pages 275-301.
    5. Robert Novy-Marx & Mihail Velikov, 2016. "A Taxonomy of Anomalies and Their Trading Costs," The Review of Financial Studies, Society for Financial Studies, vol. 29(1), pages 104-147.
    6. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    7. Michael J. Cooper & Huseyin Gulen & P. Raghavendra Rau, 2005. "Changing Names with Style: Mutual Fund Name Changes and Their Effects on Fund Flows," Journal of Finance, American Finance Association, vol. 60(6), pages 2825-2858, December.
    8. Nofsinger, John & Varma, Abhishek, 2014. "Socially responsible funds and market crises," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 180-193.
    9. Andrew Y. Chen & Mihail Velikov, 2020. "Zeroing in on the Expected Returns of Anomalies," Finance and Economics Discussion Series 2020-039, Board of Governors of the Federal Reserve System (U.S.).
    10. 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)

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    More about this item

    Keywords

    Momentum; Mutual funds; Fama–French factors;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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