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The Markovian Dynamics of "Smart Money"

  • J-H Steffi Yang
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    I develop a Markov model of samrt money chasing past winning funds while taking into account associated costs. The model also allows market capital entry and exit. The steady-state capital allocations re derived using constant transition probabilities. The results sugget that down side risk is significantly attributed to investor overreactoin, even though a small degree of investment movement as opposed to capital immobility can in fact stabilize the market. Furthermore, performance sensitivity makes it possible that two much-debated fund styles, passive indexing and active management, are simultaneously profitable. If money is insensitive, the model becomes a zero-sum game where one strategy's profitability is always at the cost of the other

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    Paper provided by Econometric Society in its series Econometric Society 2004 Far Eastern Meetings with number 797.

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    Date of creation: 11 Aug 2004
    Date of revision:
    Handle: RePEc:ecm:feam04:797
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    1. Lu Zheng, 1999. "Is Money Smart? A Study of Mutual Fund Investors' Fund Selection Ability," Journal of Finance, American Finance Association, vol. 54(3), pages 901-933, 06.
    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.
    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. Grinblatt, Mark & Titman, Sheridan D, 1989. "Mutual Fund Performance: An Analysis of Quarterly Portfolio Holdings," The Journal of Business, University of Chicago Press, vol. 62(3), pages 393-416, July.
    5. Judith Chevalier & Glenn Ellison, 1999. "Are Some Mutual Fund Managers Better Than Others? Cross-Sectional Patterns in Behavior and Performance," Journal of Finance, American Finance Association, vol. 54(3), pages 875-899, 06.
    6. Chevalier, Judith & Ellison, Glenn, 1997. "Risk Taking by Mutual Funds as a Response to Incentives," Journal of Political Economy, University of Chicago Press, vol. 105(6), pages 1167-1200, December.
    7. William N. Goetzmann & Stephen J. Brown, 2005. "Performance Persistence," Yale School of Management Working Papers ysm451, Yale School of Management.
    8. J.-H. Steffi Yang & Satchell, S.E., 2002. "The Impact of Technical Analysis on Asset Price Dynamics," Cambridge Working Papers in Economics 0219, Faculty of Economics, University of Cambridge.
    9. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    10. Alessio Sancetta & Steve Satchell, 2004. "Calculating hedge fund risk: the draw down and the maximum draw down," Applied Mathematical Finance, Taylor & Francis Journals, vol. 11(3), pages 259-282.
    11. Grinblatt, Mark & Titman, Sheridan, 1993. "Performance Measurement without Benchmarks: An Examination of Mutual Fund Returns," The Journal of Business, University of Chicago Press, vol. 66(1), pages 47-68, January.
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