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Revisiting mutual fund performance evaluation

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  • Angelidis, Timotheos
  • Giamouridis, Daniel
  • Tessaromatis, Nikolaos

Abstract

Mutual fund manager excess performance should be measured relative to their self-reported benchmark rather than the return of a passive portfolio with the same risk characteristics. Ignoring the self-reported benchmark results in different measurement of stock selection and timing components of excess performance. We revisit baseline empirical evidence fund performance evaluation utilizing stock selection and timing measures that incorporate the self-reported benchmark. We introduce a new factor exposure based approach for measuring the –static and dynamic – timing capabilities of mutual fund managers. We overall conclude that current studies are likely to be misstating skill because they ignore the managers’ self-reported benchmark in the performance evaluation process.

Suggested Citation

  • Angelidis, Timotheos & Giamouridis, Daniel & Tessaromatis, Nikolaos, 2013. "Revisiting mutual fund performance evaluation," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1759-1776.
  • Handle: RePEc:eee:jbfina:v:37:y:2013:i:5:p:1759-1776 DOI: 10.1016/j.jbankfin.2013.01.006
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    Cited by:

    1. Babalos, Vassilios & Caporale, Guglielmo Maria & Philippas, Nikolaos, 2015. "Gender, style diversity, and their effect on fund performance," Research in International Business and Finance, Elsevier, vol. 35(C), pages 57-74.
    2. Mohammad, Nazeeruddin & Ashraf, Dawood, 2015. "The market timing ability and return performance of Islamic equities: An empirical study," Pacific-Basin Finance Journal, Elsevier, pages 169-183.
    3. Galagedera, Don U.A. & Watson, John & Premachandra, I.M. & Chen, Yao, 2016. "Modeling leakage in two-stage DEA models: An application to US mutual fund families," Omega, Elsevier, vol. 61(C), pages 62-77.
    4. Mason, Andrew & Agyei-Ampomah, Sam & Skinner, Frank, 2016. "Realism, skill, and incentives: Current and future trends in investment management and investment performance," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 31-40.
    5. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2016. "UK equity mutual fund alphas make a comeback," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 98-110.
    6. Clare, Andrew & Motson, Nick & Sapuric, Svetlana & Todorovic, Natasa, 2014. "What impact does a change of fund manager have on mutual fund performance?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 167-177.
    7. Agyei-Ampomah, Sam & Clare, Andrew & Mason, Andrew & Thomas, Stephen, 2015. "On luck versus skill when performance benchmarks are style-consistent," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 127-145.
    8. Vassilios Babalos & Michael Doumpos & Nikolaos Philippas & Constantin Zopounidis, 2015. "Towards a Holistic Approach for Mutual Fund Performance Appraisal," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 35-53, June.
    9. repec:eee:finana:v:52:y:2017:i:c:p:152-159 is not listed on IDEAS

    More about this item

    Keywords

    Mutual funds; Short-term performance; Market timing; Factor timing;

    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
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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