摘要
本文构建了我国行业创新效率与行业股票收益率的面板回归模型,依据政府国民经济行业划分和证监会行业划分标准,采用我国制造业细分行业2005-2012年的面板数据进行实证分析,结果表明:在我国国情下,行业创新效率和行业股票收益率之间存在显著正相关关系。且反映未来前景的增量信息指标行业创新效率和反映目前运营状况的公共信息指标行业市值规模对行业股票收益率存在交互影响。该实证结果有利于投资者更好地制定股票投资行业选择决策,并能够为国家制定行业发展、技术创新等政策提供参考依据。
This paper constructs a panel regression model on Chinese industry innovative effi- ciency and stock returns, and makes empirically analysis using the panel data of Chinese manufac- turing industries from 2005 to 2012 based on industry division standards of the Government Sector and the Securities Regulatory Commission. The results show that there is a significant positive cor- relation between industry innovative efficiency and stock returns in China. Moreover, the incremen- tal information index, industry innovative efficiency which reflects prospects for the future, the public information index, industry market size which reflects the current operational status have an interactive effects on industry stock returns. The empirical results will help investors make better industry selection decisions while investing equity, and will also provide a reference to formulate in dustry development, technological innovation and other policies.
出处
《现代财经(天津财经大学学报)》
CSSCI
北大核心
2014年第11期3-12,共10页
Modern Finance and Economics:Journal of Tianjin University of Finance and Economics
基金
中国工程院重大战略咨询项目(2012-ZD-15)
关键词
行业创新效率
行业市值规模
行业股票收益率
面板回归模型
industry innovative efficiency
industry market size
industry stock returns
panel regression model
作者简介
肖智,男,重庆大学经济与工商管理学院教授,博士生导师,主要从事数理金融和数量经济学研究;
翟小冰,女,重庆大学数量经济学硕士,主要从事数理金融和证券分析研究;
周明,男,重庆大学经济与工商管理学院教授,主要从事产业技术创新研究。