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False discoveries in volatility timing of mutual funds

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  • Kim, Sangbae
  • In, Francis

Abstract

This paper examines the volatility timing of US mutual funds by controlling the false discovery rate to find out how many funds are truly countercyclical (procyclical) timing funds. Empirical results show that, given the whole universe of our sample funds, the percentages of countercyclical and procyclical volatility timing funds are about equal. We also find that while the standard approach, which simply counts the number of significant positive (negative) timing coefficients, does not incorporate false discoveries in volatility timing, it provides quite accurate volatility timing results. Finally, we find that the performance measures for an equally weighted portfolio of procyclical timing funds are greater than for an equally weighted portfolio of countercyclical timing funds in the in-sample test, consistent with our expectation that procyclical timers earn higher returns because they take on more risk. However, the countercyclical timing portfolio outperforms the procyclical timing portfolio in the out-of-sample test.

Suggested Citation

  • Kim, Sangbae & In, Francis, 2012. "False discoveries in volatility timing of mutual funds," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2083-2094.
  • Handle: RePEc:eee:jbfina:v:36:y:2012:i:7:p:2083-2094
    DOI: 10.1016/j.jbankfin.2012.03.014
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    References listed on IDEAS

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    Cited by:

    1. Mahfooz Alam & Valeed Ahmad Ansari, 0. "Mutual fund managers’ market timing abilities: Indian evidence," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-13.
    2. Wang, Xiaoxiao & Zhang, Xueyong, 2024. "Bank affiliation and timing ability of mutual funds: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 163(C).
    3. Mahfooz Alam & Valeed Ahmad Ansari, 2020. "Mutual fund managers’ market timing abilities: Indian evidence," Journal of Asset Management, Palgrave Macmillan, vol. 21(4), pages 342-354, July.
    4. Manuel Ammann & Sebastian Fischer & Florian Weigert, 2018. "Risk Factor Exposure Variation and Mutual Fund Performance," Working Papers on Finance 1817, University of St. Gallen, School of Finance, revised Nov 2018.
    5. Jitmaneeroj, Boonlert, 2023. "Time-varying fund manager skills of socially responsible investing (SRI) funds in developed and emerging markets," Research in International Business and Finance, Elsevier, vol. 64(C).
    6. Liao, Li & Zhang, Xueyong & Zhang, Yeqing, 2017. "Mutual fund managers' timing abilities," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 80-96.
    7. Yi, Li & He, Lei, 2016. "False discoveries in style timing of Chinese mutual funds," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 194-208.
    8. Ferson, Wayne & Mo, Haitao, 2016. "Performance measurement with selectivity, market and volatility timing," Journal of Financial Economics, Elsevier, vol. 121(1), pages 93-110.
    9. Yi, Li & Liu, Zilan & He, Lei & Qin, Zilong & Gan, Shunli, 2018. "Do Chinese mutual funds time the market?," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 1-19.
    10. David Allen & Stephen Satchell & Colin Lizieri, 2024. "Quantifying the non-Gaussian gain," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 1-18, February.

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    More about this item

    Keywords

    Mutual fund; Volatility timing; False discovery rate;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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