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Evaluating Government Bond Fund Performance with Stochastic Discount Factors

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  • Wayne Ferson
  • Tyler R. Henry
  • Darren J. Kisgen
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    Abstract

    This article shows how to evaluate the performance of managed portfolios using stochastic discount factors (SDFs) from continuous-time term structure models. These models imply empirical factors that include time averages of the underlying state variables. The approach addresses a performance measurement bias, described by Goetzmann, Ingersoll, and Ivkovic (2000) and Ferson and Khang (2002), arising because fund managers may trade within the return measurement interval or hold positions in replicable options. The empirical factors contribute explanatory power in factor model regressions and reduce model pricing errors. We illustrate the approach on US government bond funds during 1986--2000. Copyright 2006, Oxford University Press.

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    Bibliographic Info

    Article provided by Society for Financial Studies in its journal The Review of Financial Studies.

    Volume (Year): 19 (2006)
    Issue (Month): 2 ()
    Pages: 423-455

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    Handle: RePEc:oup:rfinst:v:19:y:2006:i:2:p:423-455

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    Cited by:
    1. Huij, Joop & Derwall, Jeroen, 2008. ""Hot Hands" in bond funds," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 559-572, April.
    2. Nicola Gennaioli & Andrei Shleifer & Robert Vishny, 2012. "Money Doctors," Working Papers 464, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    3. Li, Haitao & Xu, Yuewu & Zhang, Xiaoyan, 2010. "Evaluating asset pricing models using the second Hansen-Jagannathan distance," Journal of Financial Economics, Elsevier, vol. 97(2), pages 279-301, August.
    4. Abhay Abhyankar & Angelica Gonzalez, 2007. "What Drives Corporate Bond Market Betas?," ESE Discussion Papers 157, Edinburgh School of Economics, University of Edinburgh.
    5. Patton, Andrew J & Ramadorai, Tarun, 2010. "On the Dynamics of Hedge Fund Risk Exposures," CEPR Discussion Papers 7780, C.E.P.R. Discussion Papers.
    6. Javier Rodríguez, 2010. "The performance of socially responsible mutual funds: a volatility-match approach," Review of Accounting and Finance, Emerald Group Publishing, vol. 9(2), pages 180 - 188, May.
    7. Wayne E. Ferson & Jerchern Lin, 2013. "Alpha and Performance Measurement: The Effects of Investor Disagreement and Heterogeneity," NBER Working Papers 19349, National Bureau of Economic Research, Inc.
    8. Boguth, Oliver & Carlson, Murray & Fisher, Adlai & Simutin, Mikhail, 2011. "Conditional risk and performance evaluation: Volatility timing, overconditioning, and new estimates of momentum alphas," Journal of Financial Economics, Elsevier, vol. 102(2), pages 363-389.
    9. Fang, Jieyan & Kempf, Alexander & Trapp, Monika, 2014. "Fund Manager Allocation," Journal of Financial Economics, Elsevier, vol. 111(3), pages 661-674.
    10. Hammami, Yacine & Jilani, Faouzi & Oueslati, Abdelmonem, 2013. "Mutual fund performance in Tunisia: A multivariate GARCH approach," Research in International Business and Finance, Elsevier, vol. 29(C), pages 35-51.
    11. Jonathan Fletcher & Patricia Ntozi-Obwale, 2009. "Exploring the Conditional Performance of U.K. Unit Trusts," Journal of Financial Services Research, Springer, vol. 36(1), pages 21-44, August.
    12. Andrew J. Patton & Tarun Ramadorai, 2013. "On the High-Frequency Dynamics of Hedge Fund Risk Exposures," Journal of Finance, American Finance Association, vol. 68(2), pages 597-635, 04.
    13. Abhyankar, Abhay & Gonzalez, Angelica, 2009. "News and the cross-section of expected corporate bond returns," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 996-1004, June.
    14. Farnsworth, Heber K., 2009. "Evaluating stochastic discount factors from term structure models," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 852-861, December.

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