沪深300行业的相依结构突变性分析——基于动态R-Vine Copula  

Analysis on the Sudden Change of Dependency Structure of CSI 300 Industries—Based on Dynamic R-Vine Copula

作　　者：陈晨[1] 王辉 曹洁[2] 

机构地区：[1]南京信息工程大学,江苏 南京 [2]盐城师范学院,江苏 盐城

出　　处：《应用数学进展》2022年第11期7659-7667,共9页Advances in Applied Mathematics

摘　　要：本文结合滚动窗口技术构建高维动态R-Vine Copula模型,通过识别动态R-Vine Copula模型的结构突变点来判断高维变量间相依结构的动态变化,以此研究沪深300的10个一级行业在2015年至2022年的相依结构突变性。实证结果表明:2015年至2022年行业间的相依结构在2018年1月与2019年12月发生结构突变,将整体划分为3个突变区间,两次突变发生的原因受中美贸易战与新冠疫情影响的可能较大;三个突变区间内,沪深300行业间相依结构有较大变化,行业中心点由工业与可选消费转移至工业,再转移至可选消费;突变区间1内行业间多呈上下尾不对称的相依结构,而突变区间2内行业间大多表现出上下尾对称的相依结构,同时相依性有所增大,突变区间3内行业间多呈上下尾不对称的相依结构,且相依性有所降低。此外,新冠疫情期间沪深300行业投资组合的风险价值(VaR)与期望损失(ES)的绝对值相较于疫情前有所增大,但随着疫情影响的减弱,行业投资组合VaR与ES的值在2021年6月逐渐趋于与突变点前一致。This paper uses the rolling window technology to build a high-dimensional dynamic R-Vine Copula model. By identifying the structural mutation points of the dynamic R-Vine Copula model, we can judge the dynamic changes of the dependence structure among high-dimensional variables, so as to study the dependent structure mutation of ten primary industries of CSI 300 from 2015 to 2022. The empirical results are obtained as follows: 1) from 2015 to 2022, the inter-industry dependence structure undergoes structural mutation in January 2018 and December 2019.The whole is divided into three mutation intervals ,and the reason for this mutation is likely to be affected by Sino US trade war and COVID-19;2) within the three sudden change intervals, the dependency structure of CSI 300 industries has changed significantly, the industry center has shifted from industry and op-tional consumption to industry and then to optional consumption;3) most of the industries in mu-tation interval 1 have an asymmetric dependency structure with upper and lower tails, while most of the industries in mutation interval 2 have an asymmetric dependency structure with upper and lower tails, and the dependency has increased. Most of the industries in mutation interval 3 have an asymmetric dependency structure with upper and lower tails, and the dependency has decreased. In addition, the absolute value of the value at risk (VaR) and the expected loss (ES) of CSI 300 sector portfolios during the COVID-19 are increasing compared with that before the mutation point. How-ever, with the weakening of the impact of the epidemic, the values of VaR and ES have gradually become consistent with that before the mutation point in June 2021.

关 键 词：动态R-Vine Copula 结构突变点 风险价值 期望损失 

分 类 号：F832[经济管理—金融学]