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还是星宇好 · 2020年08月14日

问一道题:NO.PZ2016070201000046

问题如下:

Suppose a risk manager creates a copula function, C, defined by the equation:

C[G1(u1),...,Gn(un)]=Fn[F11(G1(u1)),...,Fn1(Gn(un));ρF]C{\lbrack G_1{(u_1)},...,G_n{(u_n)}\rbrack}=F_n{\lbrack F_1^{-1}{(G_1{(u_1)})},...,F_n^{-1}{(G_n{(u_n)})};\rho_F\rbrack}

Which of the following statements does not accurately describe this copula function?

选项:

A.

Gi(ui)G_i{(u_i)}are standard normal univariate distributions.

B.

Fn is the joint cumulative distribution function.

C.

F11F_1^{-1} is the inverse function of Fn that is used in the mapping process.

D.

ρF\rho_Fis the correlation matrix structure of the joint cumulative function Fn

解释:

 Gi(ui)G_i{(u_i)}are marginal distributions that do not have well-known distribution properties.

老师,看到好多题都出现了这个玩意。。“correlation matrix”,这是个啥玩意,能简单描述下么,我记得Gaussian copula里面老师说只有个一个rho嘛。。总之啥意思。。不知道这个问题您能不能领会,麻烦了

1 个答案

品职答疑小助手雍 · 2020年08月15日

嗨,从没放弃的小努力你好:


emmm这个我觉得词都不用记,你可以结合风险评级那个矩阵联想一下~

其实就是两个分布画在两个维度上组成一个二维的平面,在平面里两两对应的感觉

只是这里的两两对应的是分布~


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