We correlate analysts' forecast errors with temporal variation in investor sentiment. We find that when sentiment is … “uncertain” or “difficult to value” firms. Adding these forecast errors to a regression of stock returns on sentiment absorbs a …

initial erroneous forecast, they are less prone to over-adjustment when the correction is later received. Implications for …

' earnings forecasts. We find that forecast optimism is associated with higher brokerage volume, even controlling for forecast … generate more volume. Finally, analysts strategically adjust forecast optimism based on expected volume impact. Analysts become …

in private debt contracts. We find greater proximity between the analysts' consensus earnings forecast and the future …

We find that individual analysts following the same firm and quarter forecast different underlying street performance … metrics. Relative to analysts whose street forecast is based on generally accepted accounting principles (GAAP), analysts who … forecast street earnings using a non-GAAP performance metric identify less persistent GAAP earnings and issue more accurate …

affecting firms under coverage. We find that temporarily distracted analysts achieve lower forecast accuracy, revise forecasts … less frequently, and publish less informative forecast revisions relative to non-distracted analysts. Further, at the firm …

We propose a novel method to forecast corporate earnings, which combines the accuracy of analysts' forecasts with the … their long-term performance. Our model outperforms the most popular methods from the literature in terms of forecast …

We estimate the effect of information and ability spillovers on sell-side analysts' quarterly EPS forecast accuracy …. Using a model that relates mean peer group ability along with the analyst's own ability to the analyst's forecast accuracy … when determining earnings forecast accuracy. We additionally estimate a 20 percent marginal effect ratio of increasing peer …