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An empirical analysis of the dynamic relationship between mutual fund flow and market return volatility

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  • Cao, Charles
  • Chang, Eric C.
  • Wang, Ying

Abstract

We study the dynamic relation between aggregate mutual fund flow and market-wide volatility. Using daily flow data and a VAR approach, we find that market volatility is negatively related to concurrent and lagged flow. A structural VAR impulse response analysis suggests that shock in flow has a negative impact on market volatility: An inflow (outflow) shock predicts a decline (an increase) in volatility. From the perspective of volatility-flow relation, we find evidence of volatility timing for recent period of 1998-2003. Finally, we document a differential impact of daily inflow versus outflow on intraday volatility. The relation between intraday volatility and inflow (outflow) becomes weaker (stronger) from morning to afternoon.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jbfina:v:32:y:2008:i:10:p:2111-2123
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    1. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Ippolito, Richard A, 1992. "Consumer Reaction to Measures of Poor Quality: Evidence from the Mutual Fund Industry," Journal of Law and Economics, University of Chicago Press, vol. 35(1), pages 45-70, April.
    4. Greene, Jason T. & Hodges, Charles W., 2002. "The dilution impact of daily fund flows on open-end mutual funds," Journal of Financial Economics, Elsevier, vol. 65(1), pages 131-158, July.
    5. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    6. Edelen, Roger M. & Warner, Jerold B., 2001. "Aggregate price effects of institutional trading: a study of mutual fund flow and market returns," Journal of Financial Economics, Elsevier, vol. 59(2), pages 195-220, February.
    7. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    8. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    9. Froot, Kenneth A. & O'Connell, Paul G. J. & Seasholes, Mark S., 2001. "The portfolio flows of international investors," Journal of Financial Economics, Elsevier, vol. 59(2), pages 151-193, February.
    10. Coval, Joshua & Stafford, Erik, 2007. "Asset fire sales (and purchases) in equity markets," Journal of Financial Economics, Elsevier, vol. 86(2), pages 479-512, November.
    11. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    12. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    13. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
    14. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    15. John M. R. Chalmers & Roger M. Edelen & Gregory B. Kadlec, 2001. "On the Perils of Financial Intermediaries Setting Security Prices: The Mutual Fund Wild Card Option," Journal of Finance, American Finance Association, vol. 56(6), pages 2209-2236, December.
    16. Warther, Vincent A., 1995. "Aggregate mutual fund flows and security returns," Journal of Financial Economics, Elsevier, vol. 39(2-3), pages 209-235.
    17. Busse, Jeffrey A, 1999. "Volatility Timing in Mutual Funds: Evidence from Daily Returns," Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1009-1041.
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