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人民币汇率厚尾特征及VAR估计
引用本文:吴慧慧.人民币汇率厚尾特征及VAR估计[J].重庆工商大学学报(自然科学版),2017,34(2):41-47.
作者姓名:吴慧慧
作者单位:岭南师范学院 数学与计算科学学院,广东 湛江 524048
摘    要:针对人民币汇率收益率序列的厚尾性特征,基于EGARCH模型得到标准化的收益率序列,建立GPD模型对标准化收益率序列的尾部进行拟合,并得到相应的VAR估计值;结论证明:人民币收益率序列存在双厚尾特征,故对于人民币汇率的投资者,无论做多头还是空头,都面临着较大的自身风险和交易对手风险。

关 键 词:人民币汇率收益率  EGARCH模型  GPD模型  风险价值  失败率检验

Heavy Tail Characteristics and VAR Estimation of RMB Exchange Rate
WU Hui hui.Heavy Tail Characteristics and VAR Estimation of RMB Exchange Rate[J].Journal of Chongqing Technology and Business University:Natural Science Edition,2017,34(2):41-47.
Authors:WU Hui hui
Abstract:The paper aimed at the heavy tailed characteristic of the RMB exchange rate sequence,based on the EGARCH model to get the standard rate of return sequence, established a GPD model to fit the tail of the normalized yield sequence, and got the corresponding estimation of VAR. The results showed that the sequence of RMB returns had the characteristic of bilateral heavy tail. Thus, for the investors of RMB exchange rate, they would face a greater risk of their own and counterparty whether to do long or short.
Keywords:RMB exchange rate return  EARCH model  GPD model  value at risk  test of failure rate
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