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Evaluating the size of the bootstrap method for fund performance evaluation

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  • Cheng, Tingting
  • Yan, Cheng

Abstract

We investigate the validity and reliability of the bootstrap approach in fund performance evaluation by gauging the size. Monte Carlo simulations suggest that cross-sectional dependence may alter the size of this test and we propose a new panel bootstrap approach.

Suggested Citation

  • Cheng, Tingting & Yan, Cheng, 2017. "Evaluating the size of the bootstrap method for fund performance evaluation," Economics Letters, Elsevier, vol. 156(C), pages 36-41.
    • Handle: RePEc:eee:ecolet:v:156:y:2017:i:c:p:36-41
    DOI: 10.1016/j.econlet.2017.03.028
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    References listed on IDEAS

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    1. Blake, David & Caulfield, Tristan & Ioannidis, Christos & Tonks, Ian, 2014. "Improved inference in the evaluation of mutual fund performance using panel bootstrap methods," Journal of Econometrics, Elsevier, vol. 183(2), pages 202-210.
    2. David Blake & Alberto G. Rossi & Allan Timmermann & Ian Tonks & Russ Wermers, 2013. "Decentralized Investment Management: Evidence from the Pension Fund Industry," Journal of Finance, American Finance Association, vol. 68(3), pages 1133-1178, June.
    3. Chen, Yong & Cliff, Michael & Zhao, Haibei, 2017. "Hedge Funds: The Good, the Bad, and the Lucky," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(3), pages 1081-1109, June.
    4. Robert Kosowski & Allan Timmermann & Russ Wermers & Hal White, 2006. "Can Mutual Fund “Stars” Really Pick Stocks? New Evidence from a Bootstrap Analysis," Journal of Finance, American Finance Association, vol. 61(6), pages 2551-2595, December.
    5. Kosowski, Robert & Naik, Narayan Y. & Teo, Melvyn, 2007. "Do hedge funds deliver alpha? A Bayesian and bootstrap analysis," Journal of Financial Economics, Elsevier, vol. 84(1), pages 229-264, April.
    6. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Xu, Ruihui & Zhang, Xuliang & Gozgor, Giray & Lau, Chi Keung Marco & Yan, Cheng, 2023. "Investor flow-chasing and price–performance puzzle: Evidence from global infrastructure funds," Research in International Business and Finance, Elsevier, vol. 65(C).
    2. Yan, Cheng & Cheng, Tingting, 2019. "In search of the optimal number of fund subgroups," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 78-92.
    3. Cheng, Tingting & Yan, Cheng & Yan, Yayi, 2021. "Improved inference for fund alphas using high-dimensional cross-sectional tests," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 57-81.
    4. Zhang, Jinhua & Wang, Guipu & Yan, Cheng, 2020. "Can foreign equity funds outperform their benchmarks? New evidence from fund-holding data for China," Economic Modelling, Elsevier, vol. 90(C), pages 11-20.
    5. Huazhu Zhang & Cheng Yan, 2018. "A skeptical appraisal of the bootstrap approach in fund performance evaluation," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 27(2), pages 49-86, May.

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    More about this item

    Keywords

    Performance evaluation; Bootstrap; Monte Carlo simulation; Unobservable factors;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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