reliance does not translate into an increased impact per unit of each non-fundamental factor on forecast bias. Finally, our …

' earnings forecasts. We show that measures of prior consensus and individual analyst forecast pessimism are predictive of both … with a relatively high probability of forecast pessimism experience significantly higher announcement returns than those … difficulty investors have in identifying differences in expected forecast pessimism. Overall, we conclude that market prices do …

Studying the determinants of management forecast precision is important because a better understanding of the factors … affecting management’s choice of forecast precision can provide investors and other users with cues about the characteristics of … disclosures, they need to better understand how managers choose among forecast precision disclosure alternatives. Using 16 …

We examine the adoption effect of ASC 606 on revenue informativeness, analyst forecast dispersion, and forecast errors … forecast accuracy and consensus. Such adoption effects are mainly temporary and focused in firms that are more affected by the … informativeness and lower analyst forecast error than firms using the modified retrospective method …

We substantially improve cross-sectional earnings forecast models, such as Hou, van Dijk, and Zhang (2012), by …

) we show in a practical manner that models converge to the same results based on real data of analysts forecast consensus …