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The "Out of Sample" Performance of Long-run Risk Models

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  • Wayne E. Ferson
  • Suresh K. Nallareddy
  • Biqin Xie

Abstract

This paper studies the ability of long-run risk models to explain out-of-sample asset returns during 1931-2009. The long-run risk models perform relatively well on the momentum effect. A cointegrated version of the model outperforms the classical, stationary version. Both the long-run and the short run consumption shocks in the models are empirically important for the models’ performance. The models’ average pricing errors are especially small in the decades from the 1950s to the 1990s. When we restrict the risk premiums to identify structural parameters, this results in larger average pricing errors but often smaller error variances. The mean squared errors are not substantially better than those of the classical CAPM, except for Momentum.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 17848.

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Date of creation: Feb 2012
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Publication status: published as "The 'out of sample' Performance of Long-run Risk Models," with Biqin Xie and Suresh Nallareddy, 2013, Journal of Financial Economics 107 (3) 537-556.
Handle: RePEc:nbr:nberwo:17848

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Cited by:
  1. Bakshi, Gurdip & Chabi-Yo, Fousseni, 2011. "Variance Bounds on the Permanent and Transitory Components of Stochastic Discount Factors," Working Paper Series 2011-11, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
  2. Ravi Jagannathan & Srikant Marakani, 2011. "Price Dividend Ratio Factors : Proxies for Long Run Risk," NBER Working Papers 17484, National Bureau of Economic Research, Inc.

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