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Stale Prices and the Performance Evaluation of Mutual Funds

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  • Qian, Meijun

Abstract

Staleness in measured prices imparts a positive statistical bias and a negative dilution effect on mutual fund performance. First, evaluating performance with nonsynchronous data generates a spurious component of alpha. Second, stale prices create arbitrage opportunities for high-frequency traders whose trades dilute the portfolio returns and hence fund performance. This paper introduces a model that evaluates fund performance while controlling directly for these biases. Empirical tests of the model show that alpha net of these biases is on average positive although not significant and about 40 basis points higher than alpha measured without controlling for the impacts of stale pricing. The difference between the net alpha and the measured alpha consists of 3 components: a statistical bias, the dilution effect of long-term fund flows, and the dilution effect of arbitrage flows. Whereas the former 2 components are small, the latter is large and widespread in the fund industry.

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  • Qian, Meijun, 2011. "Stale Prices and the Performance Evaluation of Mutual Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(2), pages 369-394, April.
    • Handle: RePEc:cup:jfinqa:v:46:y:2011:i:02:p:369-394_00
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    Cited by:

    1. Ferson, Wayne E., 2013. "Investment Performance: A Review and Synthesis," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 969-1010, Elsevier.
    2. McKenzie, Michael & Satchell, Stephen & Wongwachara, Warapong, 2014. "Converting true returns into reported returns: A general theory of linear smoothing and anti-smoothing," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 215-229.
    3. Yoshihiko Hogen & Yoshiyasu Koide & Yuji Shinozaki, 2022. "Rise of NBFIs and the Global Structural Change in the Transmission of Market Shocks," Bank of Japan Working Paper Series 22-E-14, Bank of Japan.
    4. Martin Rohleder & Dominik Schulte & Marco Wilkens, 2017. "Management of flow risk in mutual funds," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 31-56, January.

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