Prior research concludes that financial analysts do not process public information efficiently in generating their earnings forecasts. The OLS regression-based tests used in prior studies assume implicitly that analysts face a quadratic loss function, or that analysts minimize their squared...

Prior research concludes that financial analysts do not process public information efficiently in generating their earnings forecasts. The OLS regression-based tests used in prior studies assume implicitly that analysts face a quadratic loss function. In contrast, we argue that analysts likely...

We examine whether financial analysts fully incorporate expected inflation in their earnings forecasts for individual stocks. We find that expected inflation proxies, such as lagged inflation and inflation forecasts from the Michigan Survey of Consumers, predict the future earnings change of a...

Earnings announcement days on average provide more information to the stock market than any other days in each quarter. In particular, the proportions of the variation in annual returns explained by returns on days with dividend announcements, management forecasts, preannouncements, or 10-K and...

In a competitive information market, a single information source can only dominate other sources individually, not collectively. We explore whether earnings announcements constitute such a dominant source using Ball and Shivakumar's (2008) R2 metric: the proportion of the variation in annual...