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基于pair copula的多维股市尾部相关性分析
引用本文:秦晓宇,王筱萍,高慧敏.基于pair copula的多维股市尾部相关性分析[J].嘉兴学院学报,2012,24(5):58-64.
作者姓名:秦晓宇  王筱萍  高慧敏
作者单位:1. 太原科技大学经济与管理学院,山西太原,030024
2. 嘉兴学院商学院,浙江嘉兴,314001
3. 嘉兴学院机电工程学院,浙江嘉兴,314001
基金项目:教育部人文社会科学研究规划基金项目(10YJA630182);山西省软科学项目(2011041001-02);山西省自然科学基金(2009011011-3);山西省回国留学人员科研资助项目(2011-078)
摘    要:采用pair copula模型对多维情形下的尾部相关性进行了分析,以中国内地及周边国家和地区的股市周收盘价为研究对象,采用经验分布拟合边缘分布,引入藤结构,并结合t-copula、Clayton copula和Joe-Clayton copula分解多维密度函数,结果表明,pair copula模型可以很好地解决多维情况下的尾部相关性分析。

关 键 词:pair  copula  尾部相关性  藤结构  股市

Analysis on Tail Dependence of Multivariate Stock Market Based on Pair copula
QIN Xiao-Yu , WANG Xiao-ping , GAO Hui-min.Analysis on Tail Dependence of Multivariate Stock Market Based on Pair copula[J].Journal of Jiaxing College,2012,24(5):58-64.
Authors:QIN Xiao-Yu  WANG Xiao-ping  GAO Hui-min
Institution:1.School of Economics and Management,Taiyuan University of Science and Technology,Taiyuan 030024; 2.Business School,Jiaxing University,Jiaxing,314001; 3.Mechanical and Electrical Engineering College,Jiaxing University,Jiaxing,314001)
Abstract:Adopting pair copula model and taking the weekly-closing-price of the mainland of China and neighboring countries and regions as the research object,this paper analyzes the tail dependence in multi-dimensional case.Empirical distribution function is applied to fit marginal distribution,and vine structure is introduced to decompose the multivariate density function with t-copula,Clayton copula and Joe-Clayton copula.The results show that pair copula methodology can solve the tail dependence in multi-dimensional case efficiently.
Keywords:pair copula  tail dependence  vine structure  stock market
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