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The Wildcard Option in Transacting Mutual-Fund Shares

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Author Info
John M.R. Chalmers
Roger M. Edelen
Gregory B. Kadlec
Abstract

This study documents high-frequency (daily) mutual fund return autocorrelations and examines the causes and consequences. We assert the cause to be nonsynchronous trading in the underlying assets of the fund, which presents investors with an option to (indirectly) trade those assets at stale prices. We refer to this option as the mutual-fund wildcard option. We show that investors who exploit this option can make abnormal returns of about 1.20% with only four (roundtrip) trades in fund shares. Approximately 45% of the equity fund universe allow this frequency of transacting without load or transaction fees. Using data on the daily flow into and out of individual mutual funds, we find some evidence that investors exploit this wildcard option.

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Paper provided by Wharton School Center for Financial Institutions, University of Pennsylvania in its series Center for Financial Institutions Working Papers with number 00-03.

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Date of creation: Nov 1999
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Handle: RePEc:wop:pennin:00-03

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  1. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March. [Downloadable!] (restricted)
  2. Atchison, Michael D & Butler, Kirt C & Simonds, Richard R, 1987. " Nonsynchronous Security Trading and Market Index Autocorrelation," Journal of Finance, American Finance Association, vol. 42(1), pages 111-18, March. [Downloadable!] (restricted)
  3. Stephen R. Foerster & Donald B. Keim, . "Direct Evidence of Non-Trading of NYSE and AMEX Stocks," Rodney L. White Center for Financial Research Working Papers 19-93, Wharton School Rodney L. White Center for Financial Research.
  4. Goetzmann, W.N. & Ibbotson, R.G., 1990. "Do Winners Repeat? Patterns in Mutual Fund Behavior," Papers fb-_91-04, Columbia - Graduate School of Business.
  5. Conrad, Jennifer & Gultekin, Mustafa N & Kaul, Gautam, 1991. "Asymmetric Predictability of Conditional Variances," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 4(4), pages 597-622. [Downloadable!] (restricted)
  6. Cohen, Kalman J. & Hawawini, Gabriel A. & Maier, Steven F. & Schwartz, Robert A. & Whitcomb, David K., 1983. "Friction in the trading process and the estimation of systematic risk," Journal of Financial Economics, Elsevier, vol. 12(2), pages 263-278, August. [Downloadable!] (restricted)
  7. Brown, Stephen J & Goetzmann, William N, 1995. " Performance Persistence," Journal of Finance, American Finance Association, vol. 50(2), pages 679-98, June. [Downloadable!] (restricted)
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  8. Campbell, John Y & Grossman, Sanford J & Wang, Jiang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, MIT Press, vol. 108(4), pages 905-39, November. [Downloadable!] (restricted)
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  9. Bessembinder, Hendrik & Hertzel, Michael G, 1993. "Return Autocorrelations around Nontrading Days," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 6(1), pages 155-89. [Downloadable!] (restricted)
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  1. Julie Agnew & Pierluigi Balduzzi & Annika SundÈn, 2002. "Portfolio Choice, Trading, And Returns In A Large 401(K) Plan," Working Papers, Center for Retirement Research at Boston College 2000-06, Center for Retirement Research. [Downloadable!]
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