We find that firms with insider sales executed under Rule 10b5-1 plans exhibit a higher likelihood of meeting or beating analysts' earnings expectations (MBE). This relation between MBE and plan sales is more pronounced for the plan sales of chief executive officers (CEOs) and chief financial officers (CFOs) and is nonexistent for other key insiders. The market reactions to firms that successfully meet or beat expectations are relatively positive compared with their peers that fail to do so. One interpretation of our results is that CEOs and CFOs who sell under these plans may be more likely to engage in strategic behavior to meet or beat expectations in an effort to maximize their proceeds from plan sales. However, readers should exercise caution in making inferences, because the potential presence of limit order transactions makes it difficult to unambiguously determine the direction of causality of the relation we document. This paper was accepted by Mary Barth, accounting.

Abstract We develop parametric estimates of the imitation‐driven herding propensity of analysts and their earnings forecasts. By invoking rational expectations, we solve an explicit analyst optimization problem and estimate herding propensity using two measures: First, we estimate analysts’ posterior beliefs using actual earnings plus a realization drawn from a mean‐zero normal distribution. Second, we estimate herding propensity without seeding a random error, and allow for nonorthogonal information signals. In doing so, we avoid using the analyst's prior forecast as the proxy for his posterior beliefs, which is a traditional criticism in the literature. We find that more than 60 percent of analysts herd toward the prevailing consensus, and herding propensity is associated with various economic factors. We also validate our herding propensity measure by confirming its predictive power in explaining the cross‐sectional variation in analysts’ out‐of‐sample herding behavior and forecast accuracy. Finally, we find that forecasts adjusted for analysts’ herding propensity are less biased than the raw forecasts. This adjustment formula can help researchers and investors obtain better proxies for analysts’ unbiased earnings forecasts.