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'...

An analysis of about 300000 earnings forecasts, created by 18000 individual forecasters for earnings of over 300 S&P listed firms, shows that these forecasts are predictable to a large extent using a statistical model that includes publicly available information. When we focus on the...

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...