60 Pages Posted: 23 Nov 2016 Last revised: 4 Jul 2017
Date Written: July 1, 2017
We show theoretically that when Bayesian investors face time-series uncertainty about assets' risk exposures, differences in their priors affect the pricing of risk in the cross-section: different priors for the same asset can generate differences in perceived risk exposures, and thereby differences in required returns. The main testable implication is that the relation between required return and risk factor betas is steeper under a low-beta prior than under a high-beta prior. Using novel proxies for investors' priors about assets' exposures to risk factors, we find strong empirical support for our main prediction. Our results have important implications for understanding how prior-induced parameter uncertainty affects asset returns.
Keywords: Parameter uncertainty, Risk factors, 10-K, Item 1a, Currency risk, Commodity risk, Interest rate risk, Recession risk, Bayesian
JEL Classification: D80, D83, G10, G12, G14, G30, M41
Suggested Citation: Suggested Citation
Hu, Shuting (Sophia) and Johnson, Shane A. and Liu, Yan, Asset Pricing Under Prior-Induced Beta Uncertainty (July 1, 2017). Available at SSRN: https://ssrn.com/abstract=2874056 or http://dx.doi.org/10.2139/ssrn.2874056