截断乐观:I/B/E/S共识估计中的预测移除不对称性

Truncating Optimism

Journal of Accounting Research · 2021
被引 20
人大 AFT50UTD24ABS 4*

中文导读

研究发现I/B/E/S在计算共识估计时,会不对称地移除乐观预测(比悲观预测更频繁),尤其是在移除能帮助企业达到或超过共识时,且这一现象在管理层激励更强时更显著。

Abstract

ABSTRACT Consensus estimates, formed by taking an average of analyst forecasts, play an important role in capital markets (e.g., provide investors with a proxy for earnings expectations). We show I/B/E/S, a prominent information intermediary, removes 6% of one‐quarter‐ahead earnings forecasts before calculating the consensus, and among the 23% of firm‐quarters with at least one forecast removed, this figure rises to 16%. We provide evidence suggesting that I/B/E/S subjectively applies policies that govern its removal decisions and accepts feedback from firms that contributes to this subjectivity. Specifically, we find optimistic forecasts are removed more frequently than pessimistic forecasts, and such asymmetry increases further when removals allow firms to meet or beat the consensus. Furthermore, we find that these effects are more pronounced when managers’ incentives to just meet or beat the consensus are stronger (i.e., higher subsequent insider sales or higher compensation delta), or managers have greater ability to influence I/B/E/S. Lastly, we demonstrate that these subjective removals benefit I/B/E/S by improving consensus accuracy, explaining why I/B/E/S is willing to be influenced by firms.

分析师预测共识预测预测删除