Does Smooth Ambiguity Matter for Asset Pricing?

A. Ronald Gallant, Mohammad R. Jahan-Parvar, Hening Liu

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


We use the Bayesian method introduced by Gallant and McCulloch (2009) to estimate consumption-based asset pricing models featuring smooth ambiguity preferences. We rely on semi-nonparametric estimation of a flexible auxiliary model in our structural estimation. Based on the market and aggregate consumption data, our estimation provides statistical support for asset pricing models with smooth ambiguity. Statistical model comparison shows that models with ambiguity, learning, and time-varying volatility are preferred to the long-run risk model. We also analyze asset pricing implications of the estimated models. Received April 12, 2016; editorial decision September 11, 2018 by Editor Stijn Van Nieuwerburgh. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Original languageEnglish (US)
Pages (from-to)3617-3666
Number of pages50
JournalReview of Financial Studies
Issue number9
StatePublished - Sep 1 2019

All Science Journal Classification (ASJC) codes

  • Accounting
  • Finance
  • Economics and Econometrics


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