Publications
Publications
- 2024
Finance Without Exotic Risk
By: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta and Andrei Shleifer
Abstract
We address the joint hypothesis problem in cross-sectional asset pricing by using measured analyst expectations of earnings growth. We construct a firm-level measure of Expectations Based Returns (EBRs) that uses analyst forecast errors and revisions and shuts down any cross-sectional differences in required returns. We obtain three results. First, variation in EBRs accounts for a large chunk of cross-sectional return spreads in value, investment, size, and momentum factors. Second, time variation in these spreads is predictable, and proxied by predictable time variation in EBRs. This result holds even controlling for scaled price variables, which may capture time varying required return differentials. Third, firm characteristics typically viewed as capturing risk predict disappointment of expectations (and of EBRs). Overall, return spreads typically attributed to exotic risk factors are explained by predictable movements in non-rational expectations of firms’ earnings growth.
Keywords
Citation
Bordalo, Pedro, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer. "Finance Without Exotic Risk." NBER Working Paper Series, No. 33004, September 2024.