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教授   博士生导师   硕士生导师

性别: 男

毕业院校: 大连理工大学

学位: 博士

所在单位: 金融与会计研究所

学科: 管理科学与工程. 投资学. 会计学

办公地点: 大连理工大学经济管理学院D座535室

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电子邮箱: chigt@dlut.edu.cn

email : chigt@dlut.edu.cn

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基于Copula的最小方差套期保值比率

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发表时间: 2009-01-01

发表刊物: 系统工程理论与实践

期号: 8

页面范围: 1-10

ISSN号: 1000-6788

摘要: On the base of minimum variance hedge ratio, this paper put forward principle of nonlinear matching of futures and cashes, and the one of return variance anticipation, using Copula model to calculate the nonlinear correlation, and using GARCH and EWMA model to anticipate the standard deviation of futures' and cashes' return rate, so the hedge efficiency will be enhanced. The character of the model is firstly that using the copula to calculate the correlation parameter to matching the futures' and cashes' return rate nonlinearly, so the calculation of correlation parameter in extreme condition will be guaranteed. Secondly, through the principle of return variance anticipation, we use GARCH and EWMA model to anticipate the standard deviation of futures' and cashes' return rate, thus we can solve efficiency distortion when the return rate of futures and cashes structure changing. Empirical test shows that, the efficiency of this model is higher than present ones. Using the this paper's model to hedge can effectively averse cash risk.

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