Does the pricing of financial reporting quality change around dividend changes?
成果类型:
Article
署名作者:
Chen, Shuping; Shevlin, Terry; Tong, Yen H.
署名单位:
University of Washington; University of Washington Seattle; Nanyang Technological University
刊物名称:
JOURNAL OF ACCOUNTING RESEARCH
ISSN/ISSBN:
0021-8456
DOI:
10.1111/j.1475-679X.2007.00225.x
发表日期:
2007
页码:
1-40
关键词:
earnings
tests
INITIATIONS
INFORMATION
parameter
accruals
FUTURE
MARKET
COSTS
ask
摘要:
We examine whether accrual earnings quality is a priced information risk factor in a dividend change setting. We define information risk as the probability that firm-specific financial statement information pertinent to investor pricing decisions is of low precision, and use the factor-mimicking portfolio returns formed on the Dechow-Dichev [2002] accrual quality (AQ) metric to proxy for the information risk (IR) factor returns. We augment the Fama-French three-factor model with this IR factor, and find that dividend initiation and increase firms exhibit a decrease in the factor loadings on the IR factor while dividend decrease firms exhibit an increase in the corresponding factor loadings, but such changes in the factor loadings occur months prior to the dividend change announcements. The results are robust to further controls for operating risk and using an alternative measure of information risk. Further analysis on changes in information characteristics such as AQ, the probability of informed trading score (PIN), forecast dispersion, and return volatility surrounding dividend change events are consistent with the asset pricing results. Overall, we interpret our results as being consistent with investors treating the information risk associated with the precision of financial statement information as a priced risk factor, with both the precision and pricing changing in predictable directions around dividend changes. However, while we attempt to control for operating risk changes in additional tests, we cannot completely rule out changes in operating risk as a competing alternative explanation for our observed results.
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