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基于Copula理论的宏观经济与股票市场相关性研究
引用本文:张妮,杨一文.基于Copula理论的宏观经济与股票市场相关性研究[J].价值工程,2014,33(33):3-6.
作者姓名:张妮  杨一文
作者单位:西北工业大学管理学院,西安,710129
基金项目:国家社会科学基金一般项目,教育部人文社会科学研究基金规划项目
摘    要:为了刻画宏观经济与股票市场波动间的相关性,在静态Copula模型的基础上,应用了一种全新的条件动态Copula(DCC-Copula)技术,它可以捕捉到经济变量间动态的相关结构。结合Gaussian-GARCH模型和DCC-Copula函数,建立了DCC Copula-GARCH模型全面对宏观经济变量与股票市场之间相关性进行了分析。结果说明,随着时间的变化,宏观经济与股票市场波动之间存在着较稳定的正相关关系。

关 键 词:宏观经济  股票市场  相关性  DCC-Copula

The Correlation between Macro-economy and Stock Market Based on the Copula Model
ZHANG Ni , YANG Yi-wen.The Correlation between Macro-economy and Stock Market Based on the Copula Model[J].Value Engineering,2014,33(33):3-6.
Authors:ZHANG Ni  YANG Yi-wen
Institution:ZHANG Ni; YANG Yi-wen ( School of Management, Northwestern Polytechnical University, Xi ran 710129, China )
Abstract:In order to depict the correlation between macro economy and volatility of stock .market. This paper applies a new kind of dynamic conditional correlation-Copula technology based on the model of static Copula. And this DCC-Copula model can capture the dynamic correlation structure between the economic variables. Combining Gaussian-GARCH model with DCC-Copula function, the paper builds DCC Copula-GARCH model and makes a full correlation analysis of macro-economic variables and stock market. The result shows that there has been a relatively stable positive correlation ship as the time gone.
Keywords:macro-economy  stock market  correlation  DCC-Copula
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