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China Securities Hedge Portfolio Returns Fitting Based on Asymmetric GARCH Model

机译:中国证券对冲产品组合基于非对称加油模型返回拟合

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In this paper, Asymmetric GARCH model such as TARCH, EGARCH, PARCH, respectively assume that the residuals obey a normal distribution, Student t distribution, the generalized error distribution, and fit the returns volatility sequence of conditional probability distribution of the five different styles of investment portfolio and stock index futures. The results showed that different investment styles portfolio return series applies to the corresponding GARCH model, the VaR calculation and the formation of hedge portfolio should be contingent in selecting the appropriate GARCH model.
机译:在本文中,诸如Tarch,Egarch,PARCH等的非对称加粗模型,分别假设残差遵守正态分布,学生T分布,广义误差分布,并拟合五种不同风格的条件概率分布的返回挥发性序列投资组合和股指期货。结果表明,不同的投资风格产品组合返回系列适用于相应的GARCH模型,VAR计算和对冲组合的形成应取决于选择适当的加粗模型。

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