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基于非对称GARCH的铜期货市场风险度量研究
引用本文:陈宴祥,罗健英,杨建康.基于非对称GARCH的铜期货市场风险度量研究[J].成都理工大学学报(社会科学版),2011,19(2):7-14.
作者姓名:陈宴祥  罗健英  杨建康
作者单位:成都理工大学,管理科学学院,成都,610059
基金项目:教育部人文社科基金青年项目"中国与国际金融市场极值风险传导机理实证研究"
摘    要:针对金融时间序列普遍存在自相关性、杠杆效应、尖峰厚尾等典型事实,运用基于杠杆效应的GARCH模型,构建铜期货市场收益序列具有典型事实的动态风险测度模型:VaR-AR(m)-EGARCH(p,q)和VaR-AR(m)-TGARCH(p,q),再通过上海期货交易所(SHFE)铜期货对所建模型进行实证分析,并运用Back-testing中的LRT(Likelihood Ratio Test)方法,对铜期货市场风险测度模型准确性和可靠性进行实证检验。实证结果表明,基于非对称GARCH的铜期货市场动态风险度量模型,能够有效捕获铜期货市场的典型事实,同时还能够准确测度具有杠杆效应的铜期货市场的动态风险,也能加强对金融市场动态风险预测能力。

关 键 词:杠杆效应  波动率  EGARCH  TGARCH  动态风险VaR测度  LRT检验

A Study of Copper Future Market's VaR Measurement Based on Asymmetric GARCH Model
CHEN Yan-xiang,LUO Jian-ying,YANG Jian-kang.A Study of Copper Future Market's VaR Measurement Based on Asymmetric GARCH Model[J].Journal of Chengdu University of Technology:Social Sciences,2011,19(2):7-14.
Authors:CHEN Yan-xiang  LUO Jian-ying  YANG Jian-kang
Institution:CHEN Yan-xiang,LUO Jian-ying,YANG Jian-kang(College of Management Sciences,Chengdu University of Technology.Chengdu 610059,China)
Abstract:In this article,we consider the financial time series' style facts-autocorrelation,leverage effect,leptokurtic and fated tail,so we choose AR(1)-EGARCH(1,1) and AR(1)-TGARCH(1,1) model to measure copper future market's dynamic VaR,both of them are based on leverage effect.Furthermore,we use Likelihood Ratio Test(LRT) method to Back-test the accuracy of these two models.The result shows that both of them could capture the style facts of copper futures,and also measure the copper future market's dynamic VaR a...
Keywords:EGARCH  TGARCH
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