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中国股市收益率与异质波动性关系研究
引用本文:王春峰,张驰,房振明.中国股市收益率与异质波动性关系研究[J].运筹与管理,2015,24(5):222-227.
作者姓名:王春峰  张驰  房振明
作者单位:1.天津大学管理与经济学部,天津300072;2.渤海证券股份有限公司,天津300381
基金项目:国家自然科学基金项目(噪音条件下的资产价格行为分析与投资组合管理研究71271146);教育部长江学者和创新团队发展计划资助项目(复杂社会经济系统的计算实验研究IRT1028)
摘    要:本文研究了中国股票市场的异质波动性问题。主要从异质波动性的识别与分布,异质波动性与股票收益率之间的关系,以及异质波动性是否被充分定价等三方面进行探讨。研究的目的在于分析股票异质波动性问题在中国股票市场中的特殊地位,这其中也包括异质波动性对股票收益影响问题。结合中国股票市场的数据,采用广义矩估计(GMM)的数量方法,显著地得到了中国股票市场中异质波动性水平,并以此分析了异质波动性与股票收益之间的关系,证明股票异质波动性水平是投资者进行决策时需要考虑的重要因素之一。

关 键 词:金融工程  异质波动性  广义矩估计  股票收益率  风险溢价  
收稿时间:2014-02-13

A Study on the Relationship between the Chinese Stock MarketReturns and Idiosyncratic Volatility
WANG Chun-feng,ZHANG Chi,FANG Zhen-ming.A Study on the Relationship between the Chinese Stock MarketReturns and Idiosyncratic Volatility[J].Operations Research and Management Science,2015,24(5):222-227.
Authors:WANG Chun-feng  ZHANG Chi  FANG Zhen-ming
Institution:1.College of Management and Economics, Tianjin University, Tianjin 300072, China; 2.Bohai Securities Co.,Ltd., Tianjin 300381, China
Abstract:This paper studies the problem of idiosyncratic volatility in Chinese stock market. There are three problems discussed in this paper. They are the identification of an idiosyncratic volatility, the relationship between the idiosyncratic volatility and stock returns and pricing problem. The purpose of this study is to find the status of the idiosyncratic volatility in Chinese stock market, including the pricing and stock return two problems. In the empirical research, combined with Chinese stock market data, we use the statistical method of generalized moment estimation(GMM)to get the idiosyncratic volatility and we analyze the relationship between the stock returns and idiosyncratic volatility. At last we find that the idiosyncratic volatility is not priced in Chinese stock market. Moreover, there is no correlation between the idiosyncratic volatility and stock return. Thus, when the investors want to make a decision, they should consider the influence of idiosyncratic volatility adequately.
Keywords:financial engineering  idiosyncratic volatility  GMM  stock returns  risk premium  
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