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基于时变Copula GARCH模型的金融风险度量
引用本文:刘娟,王沁,刘曦,昌春艳.基于时变Copula GARCH模型的金融风险度量[J].西华大学学报(自然科学版),2014(3):81-84,90.
作者姓名:刘娟  王沁  刘曦  昌春艳
作者单位:[1]湖南科技学院数学与计算科学系计算数学研究所,湖南永州425199 [2]西南交通大学数学学院,四川成都610031
基金项目:中央高校基本科研业务费专项资金资助(SWJTU12CX057); 2009教育部人文社会科学研究项目基金资助(09YJCZH104); 西南交通大学“希望之星”资助
摘    要:以GARCH(1,1)-Norm模型为边缘分布,以Kenddall tau为工具,采取滑动窗口的方法,建立了GARCH-时变-Copula模型,在此基础上利用蒙特卡洛技术度量了不同权重下的组合资产风险。通过对金发科技和ST国农两支股票的数据进行实证分析,利用失败天数的检验方法,验证了基于Kenddall tau与时间序列分析模型相结合的时变Copula模型在度量组合资产风险上的可行性与准确性。

关 键 词:时变Copula  kenddall  tau  GARCH(1  1)-Norm  金融风险

Estimation of Financial Risk Based on Time-Varying Copula Garch Model
LIU Juan,WANG Qin,LIU Xi,CHANG Chun-yan.Estimation of Financial Risk Based on Time-Varying Copula Garch Model[J].Journal of Xihua University:Natural Science Edition,2014(3):81-84,90.
Authors:LIU Juan  WANG Qin  LIU Xi  CHANG Chun-yan
Affiliation:1. Institute of Computational Mathematics ,Department of mathematics and Computational Science ,Hunan University of Science and Engineering, Yongzhou 425199 China ; 2. School of Mathematics, Southwest Jiaotong University, Chengdu 610031 China )
Abstract:Taking GARCH( 1,1)-Norm model for marginal distribution,by tool of Kendall tau,adopting slip window method, GARCH-Time Varying-Copula model is constructed. Using Monte-Carlo simulation combination assets risk is measured with different weights. Through blond technology and ST-country agricultural stock index empirical analysis,Using failure days test,the feasibility and veracity of measure portfolio assets risk are tested through Kendall tau and the time-varying Copula from time series analysis model.
Keywords:time-varying Copula  Kendall tau  tail dependence  financial risk
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