Disclosure Dynamics and Investor Learning

被引:19
|
作者
Zhou, Frank S. [1 ]
机构
[1] Univ Penn, Wharton Sch, Dept Accounting, Philadelphia, PA 19104 USA
关键词
persistence of disclosure decisions; earnings forecasts; Investor learning; parameter uncertainty; Bayesian estimation; dynamics of disclosures; EARNINGS; UNCERTAINTY; MANAGEMENT; PREDICTABILITY; FORECASTS;
D O I
10.1287/mnsc.2020.3638
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper examines whether investor learning about profitability (i.e., the mean of earnings distribution) leads to persistence in disclosure decisions. A repeated single-period model shows that persistent investor beliefs about profitability lead to persistent disclosure decisions. Using earnings forecast data, I structurally estimate the model and perform several counterfactual analyses. I find that, when investors are assumed to know profitability, the persistence of management forecast decisions significantly declines by 17%-27%. About 24% of firms would have disclosed differently, resulting in 3.9% net change in the amount of information (i.e., posterior variance) provided to the capital market. Collectively, the results indicate the importance of learning profitability in understanding disclosure decisions and the capital market consequences of disclosures.
引用
收藏
页码:3429 / 3446
页数:19
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