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This paper develops a new approach to volatility ambiguity and studies its implications for equilibrium consumption, portfolio choice, and asset prices. Our approach does not require equivalence between priors. The measure of ambiguity is based on the statistical confidence in the reference model that can be assessed with sample statistics. The approach is analytically tractable and amenable to empirical/calibration analysis. A stochastic discount pricing formula is given. At sensible levels of volatility ambiguity, the empirical regularity of equity premium and consumption growth in U.S. data can be the equilibrium outcome of our model featuring a relative risk aversion (RRA) coefficient within a reasonable range. This paper was accepted by Will Cong, finance. Funding: H. Wang received financial support from the Tsinghua University Initiative Scientific Research Program 2023THZWJC20. L. Zhang received financial support from the Tsinghua University Initiative Scientific Research Program 2021THZWJC28 and The National Natural Science Foundation of China Grant 72473079. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2022.02902 .
Liu et al. (Thu,) studied this question.
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