一、主题：Chinese Stock Market Return Predictability: Adaptive Complete Subset Regressions

二🙌🏼𓀌、主讲人🤟🏽：陈珂琪，凯发平台2012级金融学专业本科生，现已保送清华大学五道口凯发平台直博

三⚉、时间： 2015年11月18日（周三）13:00-14:00

四📡、地点：北京K8凯发平台娱乐开户官方网站沙河校区丁香园1号楼301会议室

五、点评人：陈锐👨🏿‍💼，凯发平台金融工程系讲师

文章摘要：

We provide one of the first comprehensive studies on out-of-sample stock returns predictability in China. This paper proposes a new combination framework to explore theChinese stock market return predictability. While most well-known predictor variables andsimple combinations fail to beat the historical average benchmark, our trimmed subset regressions delivers statistically and economically significant out-of-sample performance. Thesubset where each regression includes four predictors produces significant R2OS statistic of5.14% for 2006:01-2014:09. A mean-variance investor who uses the trimmed subset regressions forecasts instead of the historical average forecasts can obtain sizable utility gains of 5.24% per annum. The results are robust in sub-samples.