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,...

We investigate the implications of recommendation-forecast consistency for the informativeness of stock recommendations and earnings forecasts and the quality of analysts’ earnings forecasts. Stock recommendations and earnings forecasts are often issued simultaneously and evaluated jointly by...

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...

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...