The ability to make predictions based on online searches in various contexts is gaining substantial interest in both research and practice. This study investigates a novel application of correlated online searches in predicting stock performance across supply chain partners. If two firms are...

We find that forecast revisions by analysts with more favorable surnames elicit stronger market reactions. The effect is stronger among firms with lower institutional ownership and for analysts with non-American first names. Following the 9/11 terrorist attacks, and France and Germany's...

The paper finds that firms' exposure to temperature changes predicts stock returns. We use the sensitivity of stock returns to abnormal temperature changes to measure firm-level climate sensitivity. Stocks with higher climate sensitivity forecast lower stock returns. A trading strategy that...

Using a novel dataset containing the forecasts of both buy-side and sell-side analysts, and individual investors, we find that crowdsourced earnings forecasts are more accurate than expert forecasts of sell-side analysts. Examining the economic mechanisms that generate superior crowd forecasts,...

This study shows that shifts in political climate influence stock prices. As the party in power changes, there are systematic changes in the industry-level composition of investor portfolios, which weaken arbitrage forces and generate predictable patterns in industry returns. A trading strategy...

We examine whether exogenous and extremely negative events such as terrorist attacks and mass shootings influence the sentiment and forecasts of sell-side equity analysts. We find that analysts who are local to these attacks issue forecasts that are relatively more pessimistic than the consensus...