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Mutual funds flows and the "Sheriff of Nottingham" effect

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Author Info
Lucia Milone (Department of Applied Mathematics, University of Venice)
Paolo Pellizzari () (Department of Applied Mathematics and SSAV, University of Venice)

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Abstract

Investors in mutual funds appear to reward disproportionately the best performing funds with large inflows while, at the same time, avoid to withdraw similar amounts from the poorly managed funds. We show that this peculiar flat-convex shape of the flow-performance curve for mutual funds can be generally explained by a model where profit chasing customers punish the bad funds by switching a fraction of their wealth to the best ones ("Sheriff of Nottingham" effect). In the absence of external flows, the model provably produces a constant curve when the standard deviation of excess returns is much larger than the level of the returns. This for the most part explains the apparent insensitivity of flows to below-average returns. The introduction of exogenous injections of money invested in the top funds completes the model and provides a realistic increase in the flows of the funds yielding above-average returns. We finally show by simulation that our results are robust to variations in the values of the parameters of the model.

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File URL: http://www.dma.unive.it/wpdma/2009wp188.pdf
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File Function: First version, 2009
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Publisher Info
Paper provided by Department of Applied Mathematics, University of Venice in its series Working Papers with number 188.

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Length: 14 pages
Date of creation: Jun 2009
Date of revision:
Handle: RePEc:vnm:wpaper:188

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Related research
Keywords: Funds’flows; flow-performance curve; agent based models;

Other versions of this item:

Find related papers by JEL classification:
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
G23 - Financial Economics - - Financial Institutions and Services - - - Pension Funds; Other Private Financial Institutions
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques

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  1. Jonathan B. Berk & Ian Tonks, 2007. "Return Persistence and Fund Flows in the Worst Performing Mutual Funds," NBER Working Papers 13042, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Erik R. Sirri & Peter Tufano, 1998. "Costly Search and Mutual Fund Flows," Journal of Finance, American Finance Association, vol. 53(5), pages 1589-1622, October. [Downloadable!] (restricted)
  3. Lettau, Martin, 1997. "Explaining the facts with adaptive agents: The case of mutual fund flows," Journal of Economic Dynamics and Control, Elsevier, vol. 21(7), pages 1117-1147, June. [Downloadable!] (restricted)
  4. Anthony W. Lynch & David K. Musto, 2003. "How Investors Interpret Past Fund Returns," Journal of Finance, American Finance Association, vol. 58(5), pages 2033-2058, October. [Downloadable!] (restricted)
  5. 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. [Downloadable!] (restricted)
  6. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-91, March. [Downloadable!] (restricted)
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This page was last updated on 2009-11-18.


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