题目: Is the Value Relevance of Earnings Information Really Decreasing Over Time?
演讲者：Chunlin Mao, Assistant Professor in finance, University of Hong Kong
时间: 2010年12月24日（星期五）3:00—4:30PM
地点: 嘉庚二501
参加者: 对财务研究有兴趣的广大师生
主持人： 沈哲老师
论文简介：
Previous studies state that the value relevance of earnings information has declined over time, based on decreasing ERCs and R2s. This paper demonstrates that measurement error bias is a major factor that drives these results when using earnings changes as a proxy for unexpected earnings. The variance of measurement error in earnings changes as a proxy for unexpected earnings is found to increase over time using a latent variable model. After controlling for the impact of measurement error, trends of ERCs and R2s estimated using the model are significantly closer to zero and in fact not significantly different from zero. Consistent with the evidence of the latent variable model, OLS ERCs estimated with analyst forecasts, which have less measurement error bias, have not decreased significantly either. Overall, this paper finds no evidence of declining value relevance of earnings information over time.
This paper provides an explanation for the low magnitude of OLS ERCs observed in previous literature by showing substantial measurement errors in using either earnings changes or analyst forecasts to calculate unexpected earnings. After controlling for measurement errors with a latent variable model, this paper considerably improves ERC estimation and makes it economically more reasonable.
By “observing” the properties of (unoervable) market earnings expectations, future research, using the latent variable model, allows analysis of a number of accounting research topics from new perspectives.
论文作者简介：
Dr. Chunlin Mao is Assistant Professor in finance from University of Hong Kong. She got her PhD and BA from Penn State University and Peking University respectively. Her research interests include financial reporting, analyst forecasts, equity valuation and disclosure.
下载：chunlin's paper.pdf