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Time Variation in Mutual Fund Style Exposures

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  • Jan Annaert
  • Geert Van Campenhout

Abstract

Despite the wide acceptance of return-based style analysis, the method has several limitations. One important drawback is the assumption that style exposures are time-invariant. We apply results on break tests developed in Bai and Perron (1998, 2003) to test for style breaks. We find strong evidence against the hypothesis of constant time exposures in daily return data for European equity funds. All funds exhibit at least one break, and 60% exhibit more than one break. We show that the main reason for style breaks is the mutual funds' reliance on conditional investment strategies based on public information and volatility estimates. Copyright 2007, Oxford University Press.

Suggested Citation

  • Jan Annaert & Geert Van Campenhout, 2007. "Time Variation in Mutual Fund Style Exposures," Review of Finance, European Finance Association, vol. 11(4), pages 633-661.
    • Handle: RePEc:oup:revfin:v:11:y:2007:i:4:p:633-661
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    File URL: http://hdl.handle.net/10.1093/rof/rfm029
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    Citations

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    Cited by:

    1. Takaya Fukui & Seisho Sato & Akihiko Takahashi, 2017. "Style analysis with particle filtering and generalized simulated annealing," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(02n03), pages 1-29, June.
    2. Salotti, Simone & Trecroci, Carmine, 2014. "Multifactor risk loadings and abnormal returns under uncertainty and learning," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(3), pages 393-404.
    3. Angelidis, Timotheos & Giamouridis, Daniel & Tessaromatis, Nikolaos, 2013. "Revisiting mutual fund performance evaluation," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1759-1776.
    4. Yunmi Kim & Douglas Stone & Tae-Hwan Kim, 2021. "Testing for structural breaks in return-based style regression models," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(1), pages 61-76, March.
    5. Takaya Fukui & Seisho Sato & Akihiko Takahashi, 2016. "Style Analysis with Particle Filtering and Generalized Simulated Annealing," CIRJE F-Series CIRJE-F-1010, CIRJE, Faculty of Economics, University of Tokyo.
    6. Takaya Fukui & Seisho Sato & Akihiko Takahashi, 2017. "This paper proposes a new approach to style analysis of mutual funds in a general state space framework with particle filtering and generalized simulated annealing (GSA). Speci cally, we regard the ex," CARF F-Series CARF-F-383, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    7. Herrmann, Ulf & Scholz, Hendrik, 2013. "Short-term persistence in hybrid mutual fund performance: The role of style-shifting abilities," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2314-2328.
    8. Romana Bangash, 2011. "Evaluation of European Mutual funds Performance," Post-Print halshs-00658484, HAL.
    9. Jiang, Minqi & Liu, Jiapeng & Zhang, Lu, 2021. "An extended regularized Kalman filter based on Genetic Algorithm: Application to dynamic asset pricing models," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 28-44.
    10. 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.
    11. Noël Amenc & Felix Goltz & Véronique Le Sourd, 2009. "The Performance of Characteristics‐based Indices1," European Financial Management, European Financial Management Association, vol. 15(2), pages 241-278, March.

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