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Net Inflows and Time-Varying Alphas: The Case of Hedge Funds


  • Andrea Beltratti


  • Claudio Morana



The growth in the size of the hedge funds industry has led some in-vestors to worry about a decline in alphas, associated with reduced arbitrage opportunities in international financial markets. We introduce a multivariate components model for returns and net relative inflows into hedge funds, accounting for time-varying market premia. We estimate alpha as an unobserved component variable of the econometric model. We then assess whether several categories of hedge funds do produce extra profits and whether the flows of funds into the industry are dynamically related to returns. Our results point to a positive correlation between past returns and future flows, while the evidence concerning the linkage between past flows and future returns is mixed. However, we do not find any structural decline in alpha for most hedge fund categories.

Suggested Citation

  • Andrea Beltratti & Claudio Morana, 2006. "Net Inflows and Time-Varying Alphas: The Case of Hedge Funds," ICER Working Papers 30-2006, ICER - International Centre for Economic Research.
  • Handle: RePEc:icr:wpicer:30-2006

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    References listed on IDEAS

    1. Andersen T. G & Bollerslev T. & Diebold F. X & Labys P., 2001. "The Distribution of Realized Exchange Rate Volatility," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 42-55, March.
    2. Mark Mitchell, 2001. "Characteristics of Risk and Return in Risk Arbitrage," Journal of Finance, American Finance Association, vol. 56(6), pages 2135-2175, December.
    3. Dybvig, Philip H., 1983. "An explicit bound on individual assets' deviations from APT pricing in a finite economy," Journal of Financial Economics, Elsevier, vol. 12(4), pages 483-496, December.
    4. Campbell R. Harvey & Bruno Solnik & Guofu Zhou, 2002. "What Determines Expected International Asset Returns?," Annals of Economics and Finance, Society for AEF, vol. 3(2), pages 249-298, November.
    5. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    6. Shleifer, Andrei & Vishny, Robert W, 1997. " The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    7. Dean Prichard & James Theiler, 1994. "Generating Surrogate Data for Time Series with Several Simultaneously Measured Variables," Working Papers 94-04-023, Santa Fe Institute.
    8. Carl Ackermann & Richard McEnally & David Ravenscraft, 1999. "The Performance of Hedge Funds: Risk, Return, and Incentives," Journal of Finance, American Finance Association, vol. 54(3), pages 833-874, June.
    9. Robert B. Davies, 2002. "Hypothesis testing when a nuisance parameter is present only under the alternative: Linear model case," Biometrika, Biometrika Trust, vol. 89(2), pages 484-489, June.
    10. Brandt, Michael W. & Kang, Qiang, 2004. "On the relationship between the conditional mean and volatility of stock returns: A latent VAR approach," Journal of Financial Economics, Elsevier, vol. 72(2), pages 217-257, May.
    11. Jagannathan, Ravi & Korajczyk, Robert A, 1986. "Assessing the Market Timing Performance of Managed Portfolios," The Journal of Business, University of Chicago Press, vol. 59(2), pages 217-235, April.
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    More about this item


    Hedge funds; performance; asset pricing models; unobserved components models;

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models


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