Do errors in earnings expectations explain cross-sectional stock return spreads?
Core argument: The authors construct firm-level Expectations Based Returns from analyst forecast errors and revisions, shutting down cross-sectional differences in required returns, and find that variation in these returns accounts for a large share of return spreads in value, investment, size, and momentum factors.
We address the joint hypothesis problem [rational expectations conjunction with a model of risk] 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 alarge 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. Third, firm characteristics typically viewed as capturing risk predict disappointment of expectations (and of EBRs). Overall, return spreads typically attributed to exoticrisk factors are explained by predictable movements in non-rational expectations of firms’ earnings growth. Growth stocks do worse when optimism for them drops relative to that for value stocks, and similarly for big stocks relative to small ones.Growth stocks do worse on average because such optimism happens more than its reverse, not because growth stocks are less risky.



