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Evaluating Brazilian mutual funds with stochastic frontiers

Author

Listed:
  • Sergio Da Silva

    (Department of Economics, Federal University of Santa Catarina)

  • Newton Da Costa, Jr

    (Department of Economics, Federal University of Santa Catarina)

  • Joao Tusi

    (Department of Economics, Federal University of Santa Catarina)

  • Andre Santos

    (Department of Economics, Federal University of Santa Catarina)

Abstract

We evaluate the performance of 307 Brazilian stock mutual funds employing stochastic frontiers. We list the top ten actively managed funds and the bottom ten for the period April 2001-July 2003, and show that a fund's efficiency increases with management skill to beat the market. We also find that portfolios with low volatility tend to be more efficient. Yet we find no relationship between fund size and performance, though this might be blurred by a survivorship bias.

Suggested Citation

  • Sergio Da Silva & Newton Da Costa, Jr & Joao Tusi & Andre Santos, 2005. "Evaluating Brazilian mutual funds with stochastic frontiers," Economics Bulletin, AccessEcon, vol. 13(2), pages 1-6.
    • Handle: RePEc:ebl:ecbull:eb-05m20002
    as

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    File URL: http://www.accessecon.com/pubs/EB/2005/Volume13/EB-05M20002A.pdf
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    References listed on IDEAS

    as
    1. Michael C. Jensen, 1968. "The Performance Of Mutual Funds In The Period 1945–1964," Journal of Finance, American Finance Association, vol. 23(2), pages 389-416, May.
    2. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    3. S. P. Kothari & Jerold B. Warner, 2001. "Evaluating Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 56(5), pages 1985-2010, October.
    4. Elton, Edwin J & Gruber, Martin J & Blake, Christopher R, 1996. "Survivorship Bias and Mutual Fund Performance," Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1097-1120.
    5. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    6. Annaert, Jan & van den Broeck, Julien & Vander Vennet, Rudi, 2003. "Determinants of mutual fund underperformance: A Bayesian stochastic frontier approach," European Journal of Operational Research, Elsevier, vol. 151(3), pages 617-632, December.
    7. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Hung, Pi-Hsia & Lien, Donald & Kuo, Ming-Sin, 2020. "Window dressing in equity mutual funds," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 338-354.
    2. Babalos, Vassilios & Mamatzakis, Emmanuel C. & Matousek, Roman, 2015. "The performance of US equity mutual funds," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 217-229.
    3. Jin-Li Hu & Tzu-Pu Chang & Ray Chou, 2014. "Market conditions and the effect of diversification on mutual fund performance: should funds be more concentrative under crisis?," Journal of Productivity Analysis, Springer, vol. 41(1), pages 141-151, February.
    4. Pi‐Hsia Hung & Donald Lien & Yun‐Ju Chien, 2020. "Portfolio concentration and fund manager performance," Review of Financial Economics, John Wiley & Sons, vol. 38(3), pages 423-451, July.

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    More about this item

    JEL classification:

    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • G1 - Financial Economics - - General Financial Markets

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