摘要
选取上证指数、上证基金的日收益率数据,根据Sklar提出的Copula理论,刻画随机变量间相关性的信息,用于描述金融市场间的相关模式.首先针对二维变量,通过比较参数法与非参数法拟合的优度来确定边缘分布,从而选择合适的Copula函数来刻画二者之间的相关性,最后对模型进行评价.
In this paper,daily rate of return data for the Shanghai Composite Index and the Shanghai fund are chosen.According to the Copula theory proposed by Sklar,we describe the correlation between two random variables to show the correlation between financial markets.Firstly,for two-dimensional variables,we give the marginal distributions using comparison parameter and goodness of fit method.Then,the appropriate Copula function is proposed to describe the correlation between the Shanghai Composite Index and the Shanghai fund.Finally,the proposed model is evaluated.
作者
张笑冰
刘倩
ZHANG Xiao-bing LIU Qian(College of Science, North China University of Technology, Beijing, 100144, China School of Finance, Renmin University of China, Beijing 100872, China)
出处
《数学的实践与认识》
北大核心
2016年第20期10-17,共8页
Mathematics in Practice and Theory
关键词
COPULA函数
核估计
秩相关系数
尾部相关
欧氏距离
copula function
kernel estimation
rank correlation coefficient
tail dependence
euclidean distance