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Valuation Risk Revalued

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Abstract

The recent asset pricing literature finds valuation risk is an important determinant of key asset pricing moments. Valuation risk is modelled as a time preference shock within Epstein-Zin recursive utility preferences. While this form of valuation risk appears to fit the data extremely well, we show the preference specification violates an economically meaningful restriction on the weights in the Epstein-Zin time-aggregator. The same model with the corrected preference specification performs nearly as well at matching asset pricing moments, but only if the risk aversion parameter is well above the accepted range of values used in the literature. When the corrected preference specification is combined with Bansal-Yaron long-run risk, the estimated model significantly downgrades the role of valuation risk in determining asset prices. The only significant contribution of valuation risk is to help match the volatility of the risk-free rate.

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  • Oliver de Groot & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "Valuation Risk Revalued," Working Papers 1808, Federal Reserve Bank of Dallas.
    • Handle: RePEc:fip:feddwp:1808
    DOI: 10.24149/wp1808
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    1. Martin Kliem & Alexander Meyer-Gohde, 2017. "(Un)expected Monetary Policy Shocks and Term Premia," SFB 649 Discussion Papers SFB649DP2017-015, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Oliver de Groot & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "Uncertainty Shocks in a Model of Effective Demand: Comment," Econometrica, Econometric Society, vol. 86(4), pages 1513-1526, July.
    3. Larry G. Epstein & Stanley E. Zin, 2013. "Substitution, risk aversion and the temporal behavior of consumption and asset returns: A theoretical framework," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 12, pages 207-239, World Scientific Publishing Co. Pte. Ltd..
    4. Frank Schorfheide & Dongho Song & Amir Yaron, 2018. "Identifying Long‐Run Risks: A Bayesian Mixed‐Frequency Approach," Econometrica, Econometric Society, vol. 86(2), pages 617-654, March.
    5. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    6. Ravi Bansal & Amir Yaron, 2004. "Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles," Journal of Finance, American Finance Association, vol. 59(4), pages 1481-1509, August.
    7. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    8. Walter Pohl & Karl Schmedders & Ole Wilms, 2018. "Higher Order Effects in Asset Pricing Models with Long‐Run Risks," Journal of Finance, American Finance Association, vol. 73(3), pages 1061-1111, June.
    9. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
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    More about this item

    Keywords

    Epstein-Zin Utility; Valuation Risk; Equity Premium Puzzle; Risk-Free Rate Puzzle;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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