Volatility Ambiguity, Portfolio Decisions, and Equilibrium Asset Pricing
提出一种新的波动率模糊性度量方法，基于参考模型的统计置信度，并研究其对均衡消费、投资组合和资产价格的影响，发现合理的模糊性水平能解释美国数据的股权溢价和消费增长。
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 .