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Russian Mutual Funds: Skill vs. Luck

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  • Petr Parshakov

    (National Research University Higher School of Economics)

Abstract

Our work is focused on Russian mutual funds managers' skills versus luck testing. Using the bootstrap procedure of Kosowski et al. (2007) we test Jensen's alpha signi cance for each fund. We found that only 5% of equity mutual funds do have skills. These results for the emerging Russian market are similar to previous studies of developed markets. Interestingly, skilled funds are not characterized with the extremely high alpha. This leads to an unexpected conclusion: an investor should avoid funds with a very high alpha

Suggested Citation

  • Petr Parshakov, 2014. "Russian Mutual Funds: Skill vs. Luck," HSE Working papers WP BRP 40/FE/2014, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:40/fe/2014
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    References listed on IDEAS

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    1. Gavin Brown & Paul Draper & Eddie McKenzie, 1997. "Consistency of UK Pension Fund Investment Performance," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(2), pages 155-178.
    2. Avramov, Doron & Wermers, Russ, 2006. "Investing in mutual funds when returns are predictable," Journal of Financial Economics, Elsevier, vol. 81(2), pages 339-377, August.
    3. Russ Wermers, 2011. "Performance Measurement of Mutual Funds, Hedge Funds, and Institutional Accounts," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 537-574, December.
    4. Klaas P. Baks & Andrew Metrick & Jessica Wachter, 2001. "Should Investors Avoid All Actively Managed Mutual Funds? A Study in Bayesian Performance Evaluation," Journal of Finance, American Finance Association, vol. 56(1), pages 45-85, February.
    5. Jones, Christopher S. & Shanken, Jay, 2005. "Mutual fund performance with learning across funds," Journal of Financial Economics, Elsevier, vol. 78(3), pages 507-552, December.
    6. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2008. "UK mutual fund performance: Skill or luck?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 613-634, September.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Harry Mamaysky & Matthew Spiegel & Hong Zhang, 2007. "Improved Forecasting of Mutual Fund Alphas and Betas," Review of Finance, European Finance Association, vol. 11(3), pages 359-400.
    9. Nicolas P. B. Bollen, 2005. "Short-Term Persistence in Mutual Fund Performance," The Review of Financial Studies, Society for Financial Studies, vol. 18(2), pages 569-597.
    10. Blake, Christopher R. & Morey, Matthew R., 2000. "Morningstar Ratings and Mutual Fund Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 451-483, September.
    11. Cuthbertson, Keith & Nitzsche, Dirk, 2013. "Performance, stock selection and market timing of the German equity mutual fund industry," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 86-101.
    12. Ayadi, Mohamed A. & Kryzanowski, Lawrence, 2011. "Fixed-income fund performance: Role of luck and ability in tail membership," Journal of Empirical Finance, Elsevier, vol. 18(3), pages 379-392, June.
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    More about this item

    Keywords

    asset management; Russian stock market; skill; mutual fund;
    All these keywords.

    JEL classification:

    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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