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基于VAR-GARCH模型我国外汇风险分析
引用本文:吴慧慧.基于VAR-GARCH模型我国外汇风险分析[J].伊犁师范学院学报(自然科学版),2014(2):10-13,49.
作者姓名:吴慧慧
作者单位:湛江师范学院数学与计算科学学院,广东湛江524048
摘    要:通过对美元收益率R序列的特征分析发现,序列存在非正态性、尖峰厚尾、非对称性、异方差性的特征。分别基于正态分布、T分布、GED分布和偏态T分布的GARCH类模型对R序列进行实证分析。经过VAR方法的风险度量可知,基于T分布的GARCH-M模型对多头美元市场的风险度量最为准确。

关 键 词:外汇风险  GARCH类模型  VAR方法  偏态T分布

VAR Method Based on GARCH Model Measured Foreign Exchange Risk
WU Hui-hui.VAR Method Based on GARCH Model Measured Foreign Exchange Risk[J].Journal of Ili Normal University,2014(2):10-13,49.
Authors:WU Hui-hui
Institution:WU Hui-hui (School of Mathematics and Computer Science, Zhanjiang Normal University, Zhanjiang, Guangzhou 524048, China)
Abstract:Based on the statistical characteristics we find that the dollar yield sequence of R has the characteristics of thick tail, non-normality, asymmetry, time-varying conditional variance. Do the empirical analysis of R series through the GARCH class models based on the normal distribution, T distribution,GED distribution and skewed T distribution. Through the VAR method of risk measurement, the GARCH-M model based on T distribution can predict the bull market risk most accurately.
Keywords:Foreign Exchange Risk  GARCH class models  VAR method  skewed T distribution
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