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Mutual Fund Performance Evaluation and Best Clienteles

Published online by Cambridge University Press:  18 July 2017

Stéphane Chrétien  and
Manel Kammoun
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Abstract

This paper investigates investor disagreement and clientele effects in performance evaluation by developing a measure that considers the best potential clienteles of mutual funds. In an incomplete market under law-of-one-price (LOP) and no-good-deal conditions, we obtain an upper bound on admissible performance measures that identifies the most favorable alpha. Empirically, we find that a reasonable investor disagreement leads to generally positive performance for the best clienteles. Performance disagreement by investors can be significant enough to change the average evaluation of mutual funds from negative to positive, depending on the clienteles.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 52 , Issue 4 , August 2017 , pp. 1577 - 1604
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2017 

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Footnotes

1

We thank Vikas Agarwal, Laurent Barras, Marie-Claude Beaulieu, Stephen Brown (the editor), Frank Coggins, Wayne Ferson, Juha Joenväärä, Laurenz Klipper, Jerchern Lin (the referee), Gabriel Power, and participants at the 2014 Mathematical Finance Days, the 2014 European Financial Management Association Annual Conference, the 2014 World Finance Conference, the 2014 Financial Management Association Annual Meeting, and seminars at Laval University, Ryerson University, University of Quebec at Montreal, and Université du Québec en Outaouais for helpful comments. We gratefully acknowledge financial support from the Faculty of Business Administration and Investors Group Chair in Financial Planning at Laval University and the Institut de Finance Mathématique de Montréal.

References

Ahn, D.; Cao, H. H.; and Chrétien, S.. “Portfolio Performance Measurement: A No Arbitrage Bounds Approach.” European Financial Management, 15 (2009), 298–339.Google Scholar
Bailey, W.; Kumar, A.; and Ng, D.. “Behavioral Biases and Mutual Fund Investors.” Journal of Financial Economics, 102 (2011), 1–27.Google Scholar
Barras, L.; Scaillet, O.; and Wermers, R.. “False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas.” Journal of Finance, 65 (2010), 179–216.CrossRefGoogle Scholar
Bernardo, A. E., and Ledoit, O.. “Gain, Loss, and Asset Pricing.” Journal of Political Economy, 108 (2000), 144–172.Google Scholar
Carhart, M. M.“On Persistence in Mutual Fund Performance.” Journal of Finance, 52 (1997), 57–82.Google Scholar
Chen, Z., and Knez, P. J.. “Portfolio Performance Measurement: Theory and Applications.” Review of Financial Studies, 9 (1996), 511–555.Google Scholar
Chrétien, S.“Bounds on the Autocorrelation of Admissible Stochastic Discount Factors.” Journal of Banking and Finance, 36 (2012), 1943–1962.Google Scholar
Christoffersen, P.“Evaluating Interval Forecasts.” International Economic Review, 39 (1998), 841–862.Google Scholar
Christopherson, J. A.; Ferson, W. E.; and Glassman, D. A.. “Conditioning Manager Alpha on Economic Information: Another Look at the Persistence of Performance.” Review of Financial Studies, 11 (1998), 111–142.CrossRefGoogle Scholar
Cochrane, J., and Saá-Requejo, J.. “Beyond Arbitrage: Good-Deal Asset Price Bounds in Incomplete Markets.” Journal of Political Economy, 108 (2000), 79–119.CrossRefGoogle Scholar
Cremers, M.; Petajisto, A.; and Zitzewitz, E.. “Should Benchmark Indices Have Alpha? Revisiting Performance Evaluation.” Critical Finance Review, 2 (2013), 1–48.Google Scholar
Dahlquist, M., and Söderlind, P.. “Evaluating Portfolio Performance with Stochastic Discount Factors.” Journal of Business, 72 (1999), 347–383.Google Scholar
Del Guercio, D., and Reuter, J.. “Mutual Fund Performance and the Incentive to Generate Alpha.” Journal of Finance, 69 (2014), 1673–1704.Google Scholar
Elton, E. J.; Gruber, M. J.; and Blake, C. R.. “A First Look at the Accuracy of the CRSP Mutual Fund Database and a Comparison of the CRSP and Morningstar Mutual Fund Databases.” Journal of Finance, 56 (2001), 2415–2430.CrossRefGoogle Scholar
Evans, R. B.“Mutual Fund Incubation.” Journal of Finance, 65 (2010), 1581–1611.CrossRefGoogle Scholar
Fama, E. F., and French, K. R.. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics, 33 (1993), 3–56.CrossRefGoogle Scholar
Fama, E. F., and French, K. R.. “Luck versus Skill in the Cross-Section of Mutual Fund Returns.” Journal of Finance, 65 (2010), 1915–1948.CrossRefGoogle Scholar
Farnsworth, H.; Ferson, W. E.; Jackson, D.; and Todd, S.. “Performance Evaluation with Stochastic Discount Factors.” Journal of Business, 75 (2002), 473–503.CrossRefGoogle Scholar
Ferson, W. E.“Investment Performance Evaluation.” Annual Review of Financial Economics, 2 (2010), 207–234.CrossRefGoogle Scholar
Ferson, W. E., and Chen, Y.. “How Many Good and Bad Fund Managers Are There, Really?” Working Paper, University of Southern California (2015).Google Scholar
Ferson, W. E., and Lin, J.. “Alpha and Performance Measurement: The Effect of Investor Disagreement and Heterogeneity.” Journal of Finance, 69 (2014), 1565–1596.Google Scholar
Ferson, W. E., and Schadt, R.. “Measuring Fund Strategy and Performance in Changing Economic Conditions.” Journal of Finance, 51 (1996), 425–462.Google Scholar
Floroiu, O., and Pelsser, A.. “Closed-Form Solutions for Options in Incomplete Markets.” Working Paper, Maastricht University (2013).Google Scholar
Glode, V.“Why Mutual Funds Underperform.” Journal of Financial Economics, 93 (2011), 546–559.Google Scholar
Glosten, L., and Jagannathan, R.. “A Contingent Claims Approach to Performance Evaluation.” Journal of Empirical Finance, 1 (1994), 133–166.Google Scholar
Gruber, M. J.“Another Puzzle: The Growth in Actively Managed Mutual Funds.” Journal of Finance, 51 (1996), 783–810.Google Scholar
Hansen, L. P.“Large Sample Properties of Generalized Method of Moments Estimators.” Econometrica, 50 (1982), 1029–1054.CrossRefGoogle Scholar
Hansen, L. P., and Jagannathan, R.. “Implication of Security Market Data for Models of Dynamic Economies.” Journal of Political Economy, 99 (1991), 225–262.Google Scholar
Huang, D., and Zhou, G.. “Upper Bounds on Return Predictability.” Journal of Financial and Quantitative Analysis, 52 (2017), 401–425.Google Scholar
Kacperczyk, M.; Sialm, C.; and Zheng, L.. “Unobserved Actions of Mutual Funds.” Review of Financial Studies, 21 (2008), 2379–2416.Google Scholar
Kacperczyk, M.; Van Niwuwerburgh, S.; and Veldkamp, L.. “Time-Varying Fund Manager Skill.” Journal of Finance, 69 (2014), 1455–1484.Google Scholar
Kanamura, T., and Ohashi, K.. “Pricing Summer Day Options by Good-Deal Bounds.” Energy Economics, 31 (2009), 289–297.Google Scholar
Koski, J. L., and Pontiff, J.. “How Are Derivatives Used? Evidence from the Mutual Fund Industry.” Journal of Finance, 54 (1999), 791–816.CrossRefGoogle Scholar
Kosowski, R.“Do Mutual Funds Perform When It Matters Most to Investors? U.S. Mutual Fund Performance and Risk in Recessions and Expansions.” Quarterly Journal of Finance, 1 (2011), 607–664.Google Scholar
Lo, A., and MacKinlay, A. C.. “An Econometric Analysis of Nonsynchronous Trading.” Journal of Econometrics, 45 (1990), 181–212.Google Scholar
MacKinlay, A. C.“Multifactor Models Do Not Explain Deviations from the CAPM.” Journal of Financial Economics, 38 (1995), 3–28.Google Scholar
Martin, I. W. R.“Consumption-Based Asset Pricing with Higher Cumulants.” Review of Economics Studies, 80 (2013), 745–773.Google Scholar
Moskowitz, T.“Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transaction Costs, and Expenses: Discussion.” Journal of Finance, 55 (2000), 1695–1703.Google Scholar
Newey, W. K., and West, K. D.. “A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix.” Econometrica, 55 (1987), 703–708.CrossRefGoogle Scholar
Pyo, U.“Minimax Price Bounds in Incomplete Markets.” Journal of Economics and Finance, 35 (2011), 274–295.Google Scholar
Ross, S. A.“The Arbitrage Theory of Capital Asset Pricing.” Journal of Economics Theory, 13 (1976), 341–360.Google Scholar
Ross, S. A. Neoclassical Finance. Princeton, NJ: Princeton University Press (2005).CrossRefGoogle Scholar
Sharpe, W. F.“Mutual Fund Performance.” Journal of Business, 1 (1966), 119–138.Google Scholar
Snow, K. N.“Diagnosing Asset Pricing Models using the Distribution of Asset Returns.” Journal of Finance, 46 (1991), 955–983.Google Scholar
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