Using a novel database, we show that the stock-price impact of analyst trade ideas is at least as large as the impact of stock recommendation, target price, and earnings forecast changes, and that investors following trade ideas can earn significant abnormal returns. Trade ideas triggered by...

This study constructs a novel measure that aims to capture face-to-face private communications between firm managers and sell-side analysts by mapping detailed, large-volume taxi trip records from New York City to the GPS coordinates of companies and brokerages. Consistent with earnings releases...

This paper examines the impact of teamwork on sell-side analysts' performance. Using a hand-collected sample of over 50,000 analyst research reports, we find that analyst teams issue more than 70% of annual earnings forecasts. In contrast, most prior research implicitly assumes that forecasts...

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,...

This study examines whether key characteristics of analysts' forecasts — timeliness, accuracy, and informativeness — change when investor demand for information is likely to be especially high, i.e., during periods of high uncertainty. Findings reveal that when uncertainty is high, analysts'...

Variance after-effect is a perceptual bias in the dynamic assessment of variance. Experimental evidence shows that perceived variance is decreased after prolonged exposure to high variance and increased after exposure to low variance. We introduce this effect in an otherwise standard financial...