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Fake alpha

Author

Listed:
  • Müller, Marcel
  • Rosenberger, Tobias
  • Uhrig-Homburg, Marliese

Abstract

Why do investors entrust active mutual fund managers with large sums of money while receiving negative excess returns on average? Our explanation is that investors have a coarser information set than fund managers which leads them to systematically misinterpret managers' skill. When investors are unable to correctly quantify risk because they have no knowledge of factor investing on beyond-market-risk factors, Fake Alpha strategies based on factor investing look like skill from the investors' perspective. As running such strategies is relatively cheap for the managers, the investors' coarser information set misleads them to invest beyond the point of zero excess returns in equilibrium. We confirm our theory by analyzing the sample of US equity active managed mutual funds and find significant evidence of decreasing returns to scale at the fund level as well as negative excess returns to investors in equilibrium states.

Suggested Citation

  • Müller, Marcel & Rosenberger, Tobias & Uhrig-Homburg, Marliese, 2017. "Fake alpha," SFB 649 Discussion Papers 2017-001, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  • Handle: RePEc:zbw:sfb649:sfb649dp2017-001
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    References listed on IDEAS

    as
    1. Ľuboš Pástor & Robert F. Stambaugh, 2012. "On the Size of the Active Management Industry," Journal of Political Economy, University of Chicago Press, vol. 120(4), pages 740-781.
    2. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
    3. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    4. Stambaugh, Robert F., 1999. "Predictive regressions," Journal of Financial Economics, Elsevier, vol. 54(3), pages 375-421, December.
    5. Berk, Jonathan B. & van Binsbergen, Jules H., 2016. "Assessing asset pricing models using revealed preference," Journal of Financial Economics, Elsevier, vol. 119(1), pages 1-23.
    6. Pástor, Ľuboš & Stambaugh, Robert F. & Taylor, Lucian A., 2015. "Scale and skill in active management," Journal of Financial Economics, Elsevier, vol. 116(1), pages 23-45.
    7. Yongqiang Chu & David Hirshleifer & Liang Ma, 2020. "The Causal Effect of Limits to Arbitrage on Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 75(5), pages 2631-2672, October.
    8. Eugene F. Fama & Kenneth R. French, 2010. "Luck versus Skill in the Cross‐Section of Mutual Fund Returns," Journal of Finance, American Finance Association, vol. 65(5), pages 1915-1947, October.
    9. Brad M. Barber & Xing Huang & Terrance Odean, 2016. "Which Factors Matter to Investors? Evidence from Mutual Fund Flows," The Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2600-2642.
    10. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    11. Richard B. Evans, 2010. "Mutual Fund Incubation," Journal of Finance, American Finance Association, vol. 65(4), pages 1581-1611, August.
    12. 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.
    13. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
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    More about this item

    Keywords

    mutual funds; active management; managerial skill; alpha;
    All these keywords.

    JEL classification:

    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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