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The dynamics of short-term mutual fund flows and returns: A time-series and cross-sectional investigation

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  • Rakowski, David
  • Wang, Xiaoxin

Abstract

This study analyzes the dynamics of daily mutual fund flows. A Vector Auto Regression (VAR) of flows and returns shows that the behavior of fund investors is more consistent with contrarian rather than momentum characteristics. Past fund flows have a positive impact on future fund returns, with the long-term information effect dominating the transient price-pressure effect. Seasonality in daily flows, such as day-of-week and day-of-month patterns are present, and daily flows are generally mean-reverting. Probit regressions indicate that fund investment objective, marketing policy and level of active management explain cross-sectional variation in the behavioral patterns displayed in daily flows. Our results are robust to the different methods of calculating daily flows based on whether or not the day-end TNA figures include the current-day's flow. Throughout the analysis, we contrast the dynamics of daily flows with established results for monthly fund flows and find important differences between the two.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 33 (2009)
Issue (Month): 11 (November)
Pages: 2102-2109

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Handle: RePEc:eee:jbfina:v:33:y:2009:i:11:p:2102-2109

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Web page: http://www.elsevier.com/locate/jbf

Related research

Keywords: Mutual funds Fund flows Investor behavior;

References

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  1. Cao, Charles & Chang, Eric C. & Wang, Ying, 2008. "An empirical analysis of the dynamic relationship between mutual fund flow and market return volatility," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2111-2123, October.
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Citations

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Cited by:
  1. Singal, Vijay & Xu, Zhaojin, 2011. "Selling winners, holding losers: Effect on fund flows and survival of disposition-prone mutual funds," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2704-2718, October.
  2. Wermers, Russ, 2012. "Runs on money market mutual funds," CFR Working Papers 12-05, University of Cologne, Centre for Financial Research (CFR).
  3. Jonathan Witmer, 2012. "Does the Buck Stop Here? A Comparison of Withdrawals from Money Market Mutual Funds with Floating and Constant Share Prices," Working Papers 12-25, Bank of Canada.
  4. Jinjarak, Yothin & Wongswan, Jon & Zheng, Huanhuan, 2011. "International fund investment and local market returns," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 572-587, March.
  5. Md. Shahadath Hossain & A.B.M. Munibur Rahman & Md. Salah Uddin Rajib, 2013. "Dynamics of Mutual Funds in Relation to Stock Market: A Vector Autoregressive Causality Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 3(1), pages 191-201.
  6. Charupat, Narat & Miu, Peter, 2011. "The pricing and performance of leveraged exchange-traded funds," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 966-977, April.
  7. Jesus Sierra, 2012. "Consumer Interest Rates and Retail Mutual Fund Flows," Working Papers 12-39, Bank of Canada.
  8. Elton, Edwin J. & Gruber, Martin J. & Blake, Christopher R. & Krasny, Yoel & Ozelge, Sadi O., 2010. "The effect of holdings data frequency on conclusions about mutual fund behavior," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 912-922, May.
  9. Gygax, André F. & Otchere, Isaac, 2010. "Index composition changes and the cost of incumbency," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2500-2509, October.

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