教学项目
教师与研究
学生发展
国际合作
校友
合作伙伴
研究机构
关于我们

耶鲁管理学院副教授炎宏军:异常发现模型

时间: 2014-09-17 10:34 来源: 作者: 浏览量:2704 字号: 打印

主题:A Model of Anomaly Discovery异常发现模型

主讲人:炎宏军,耶鲁管理学院副教授

日期:2014917日(周三)

时间:下午1:30-3:00 (本学期学术研讨会时间统一调整为1:30-3:00,特殊情况另行通知

地点清华五道口金融学院4号楼101教室

语言:英文

摘要:

This paper analyzes the consequences of the discovery of anomalies. It shows that consistent with existing evidence, the discovery of an anomaly reduces its magnitude and makes it more correlated with other existing anomalies. One new prediction is that the discovery reduces the correlation between the two portfolios in the anomaly (e.g., the value and growth portfolios in the value anomaly). We empirically test this prediction for value, size, and momentum anomalies, and find clear evidence consistent with this prediction. Our model also sheds light on how to distinguish risk- and mispricing-based anomalies.

主讲人简介:

Hongjun Yan is an Associate Professor of Finance at Yale School of Management. He received his Ph.D. in Finance from London Business School in 2005. The focus of professor Yan’s research is to better understand financial markets in the presence of frictions, which include imperfections both in markets and in investors (i.e., bounded rationality). His research has been published in several leading journals, such as Review of Financial Studies, Review of Economic Studies and Management Science.