We assess the impact of Regulation Fair Disclosure (Reg FD) on the trading behavior of transient institutional investors in the quarter prior to a bad news break in a string of consecutive earnings increases. Bad news breaks are defined as breaks that are by growth firms, preceded by longer strings of consecutive earnings increases, followed by longer strings of consecutive earnings decreases, and associated with larger declines in earnings. Pre–Reg FD transient institutions have abnormal selling of stocks in the quarter immediately preceding a bad news break. This abnormal selling is confined to firms that hold conference calls in the pre–Reg FD period. However, in the post–Reg FD period transient institutions do not exhibit similar abnormal selling of stocks in the quarter before a bad news break. Furthermore, after Reg FD transient institutions allocate less of their stock portfolios to conference call firms relative to non–conference call firms in the quarters prior to a bad news break. These results demonstrate that Reg FD has had an impact on management's selective disclosure behavior and significantly changed the trading behavior of transient institutions.

Large earnings surprises and negative earnings surprises represent more egregious errors in analysts' earnings forecasts. We find evidence consistent with our expectation that egregious forecast errors motivate analysts to work harder to develop or acquire relatively more private information in an effort to avoid future forecasting failures. Specifically, we find that after large or negative earnings surprises there is a greater reduction in the error in individual analysts' forecasts of future earnings, and these individual forecasts are based more heavily on individual analysts' private information. This increased reliance on private information reduces the error in the mean forecast of upcoming earnings (even after controlling for the effect of reduced error in individual forecasts). As reliance on private information increases, more of each individual forecast error is idiosyncratic, and thus averaged out in the computation of the mean forecast.