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Review of new trends in the literature on factor models and mutual fund performance

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  • Mateus, Irina B.
  • Mateus, Cesario
  • Todorovic, Natasa

Abstract

In this paper we provide critical review of recent developments in the mutual fund performance evaluation literature. The new literature centres around two main themes: enhancing explanatory power of the standard Fama-French-Carhart factor models by augmenting them with different factors and altering standard models to account for presence of non-zero alphas in passive indices used as fund benchmarks. The latter includes the literature providing solutions for scenarios in which those benchmarks do not match fund objectives. We find that in the plethora of suggested ‘missing’ factors, not one can be universally used to explain all anomalies or price all stocks. We also find that new models that adjust a fund's standard Carhart alpha for alpha of its benchmark or for commonalities in its peer–group, provide additional information on fund performance to that given by the standard models. Specifically, these models give account of fund's relative performance - to the benchmark or the peer-group, which is of use to investors.

Suggested Citation

  • Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2019. "Review of new trends in the literature on factor models and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 344-354.
  • Handle: RePEc:eee:finana:v:63:y:2019:i:c:p:344-354
    DOI: 10.1016/j.irfa.2018.12.012
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    2. Miloš Božović, 2021. "Mutual Fund Performance: Some Recent Evidence From European Equity Funds," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 66(230), pages 7-34, July – Se.
    3. Cesario Mateus & Irina B. Mateus & Marco Soggiu, 2020. "Do smart beta ETFs deliver persistent performance?," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 413-427, September.
    4. Cesario Mateus & Irina B. Mateus & Marco Soggiu, 0. "Do smart beta ETFs deliver persistent performance?," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-15.
    5. Jin Yuan & Xianghui Yuan, 2023. "A Comprehensive Method for Ranking Mutual Fund Performance," SAGE Open, , vol. 13(2), pages 21582440231, May.
    6. Roy, Suvra & Nguyen, Harvey & Visaltanachoti, Nuttawat, 2023. "Be nice to the air: Severe haze pollution and mutual fund risk," Global Finance Journal, Elsevier, vol. 58(C).
    7. Matallín-Sáez, Juan Carlos & de Mingo-López, Diego Víctor, 2024. "The role of passive effects in the relationship between active management and short-term performance: Evidence from mutual fund portfolio holdings," Finance Research Letters, Elsevier, vol. 62(PA).
    8. Sha, Yezhou, 2020. "The devil in the style: Mutual fund style drift, performance and common risk factors," Economic Modelling, Elsevier, vol. 86(C), pages 264-273.
    9. Auer, Benjamin R. & Schuhmacher, Frank & Niemann, Sebastian, 2023. "Cloning mutual fund returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 31-37.
    10. Artur A. Trzebiński, 2022. "Assessing the performance of mutual funds with multifactor asset pricing models," Bank i Kredyt, Narodowy Bank Polski, vol. 53(1), pages 79-106.
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    Keywords

    Standard factor models; Mutual fund performance; Augmented models; Benchmark-adjusted models; Peer-group adjusted models;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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