颜同学2018-04-25 11:38:59
麻烦老师可以解释下这道题么,Positive parameter estimate 怎么判断的还有VAR 值的大小怎么区分的 谢谢老师 51. Extreme value theory (EVT) can assist with value at risk (VaR) calculations by providing better probability estimates of observing extreme losses than that indicated by a standard normal distribution because empirical distributions exhibit fat tails. If one uses the generalized Pareto distribution (GPD method to generate parameter estimates for the shape parameter, fat tails will indicate a: A. positive parameter estimate and VaR calculations that are too large B. negative parameter estimate and VaR calculations that are too small C. positive parameter estimate and VaR calculations that are too small D. negative parameter estimate and VaR calculations that are too large
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金程教育吴老师2018-04-25 14:19:34
学员你好。ξ是尾部形状参数,厚尾该形状参数>0,因为是厚尾,所以标准正态分布与之相比,分位数取得较小,根据标准正态分布的分位数计算出来的VAR较小。
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