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...

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...

Crowdsourcing — when a task normally performed by employees is outsourced to a large network of people via an open call — is making inroads into the investment research industry. We shed light on this new phenomenon by examining the value of crowdsourced earnings forecasts. Our sample...

We investigate to what extent the market uses information that is predictive of whether earnings will meet or beat the analyst consensus forecast of earnings (MBE henceforth): measures of a firm's incentives to engage in MBE behavior, measures of constraints on MBE, measures of past MBE...

We describe the challenges of forecasting earnings in a globally interconnected marketplace, and we document inefficient use of information regarding foreign country exposures and expected country GDP growth at the consensus and individual forecast levels. A country's proximity to the US,...

Crowdsourcing — when a task normally performed by employees is outsourced to a large network of people via an open call — is making inroads into the investment research industry. We shed light on this new phenomenon by examining the value of crowdsourced earnings forecasts. Our sample...