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Are performance measures equally stable?

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  • Giovanna Menardi
  • Francesco Lisi

Abstract

Managed portfolio performance evaluation is an important issue from both academics’ and investors’ points of view. One important aspect concerns the choice of the measure used to assess performance, because each index offers a different perspective about the trade-off between return level and risk exposure. A related crucial issue is the stability of measures over time and, hence, their predictive power about future results. In this work, we address the problem of evaluating of the stability of a performance measure. First, we discuss the use of alternative criteria to measure stability and propose a stability index based on changes of ranks over several periods of time. We also propose a statistical test to evaluate the homogeneity of the stability of alternative performance measures. Second, we suggest a composite performance measure, built as a linear combination of various indexes, specifically conceived to be maximally stable over time while preserving information about risk-adjusted return behavior. An application to a set of US mutual funds belonging to the Large Blend category shows how these methods work. Copyright Springer-Verlag 2012

Suggested Citation

  • Giovanna Menardi & Francesco Lisi, 2012. "Are performance measures equally stable?," Annals of Finance, Springer, vol. 8(4), pages 553-570, November.
  • Handle: RePEc:kap:annfin:v:8:y:2012:i:4:p:553-570
    DOI: 10.1007/s10436-012-0189-y
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    References listed on IDEAS

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    1. Manuel Ammann & Michael Verhofen, 2009. "The impact of prior performance on the risk-taking of mutual fund managers," Annals of Finance, Springer, vol. 5(1), pages 69-90, January.
    2. Elton, Edwin J & Gruber, Martin J & Blake, Christopher R, 1996. "Survivorship Bias and Mutual Fund Performance," The Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1097-1120.
    3. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    4. 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.
    5. Evangelos Benos & Marek Jochec, 2011. "Short term persistence in mutual fund market timing and stock selection abilities," Annals of Finance, Springer, vol. 7(2), pages 221-246, May.
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    Cited by:

    1. Kerstens, Kristiaan & Mazza, Paolo & Ren, Tiantian & Van de Woestyne, Ignace, 2022. "Multi-Time and Multi-Moment Nonparametric Frontier-Based Fund Rating: Proposal and Buy-and-Hold Backtesting Strategy," Omega, Elsevier, vol. 113(C).
    2. M. Haley, 2014. "Gaussian and logistic adaptations of smoothed safety first," Annals of Finance, Springer, vol. 10(2), pages 333-345, May.
    3. Thomas A. Severini, 2016. "A nonparametric approach to measuring the sensitivity of an asset’s return to the market," Annals of Finance, Springer, vol. 12(2), pages 179-199, May.

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    More about this item

    Keywords

    Composite index; Mutual funds; Performance measure; Stability; C1; C58; G11;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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