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金融民工阿聪 · 2022年02月13日

Inverse transformation

NO.PZ2021101401000018

问题如下:

In an effort to make Galic fully aware of the risks inherent in GWP’s strategies, Rom describes a recent study that investigated the return distributions of value and momentum factors that GWP uses to construct portfolios. The study found that these distributions were non-normal based on their negative skewness, excess kurtosis, and tail dependence. Rom indicated that investment strategies based on this type of data are prone to significantly higher downside risk.

Based on the statistical study performed by GWP, which of the following represents a suggested course of action if GWP were to conduct Monte Carlo simulation analyses on the factor strategies?

选项:

A.

Inverse transformation

B.

Bootstrapping

C.

Sensitivity analysis

解释:

C is correct. Performing sensitivity analysis represents best practice given these characteristics, because the user could test different probability distributions that relax the assumptions of the normal distribution, for example.

A is incorrect. Inverse transformation is a method of random observation generation, often used in simulation.

B is incorrect. Bootstrapping refers to random sampling with replacement, often used in historical simulation.

Inverse transformation这个选项是什么意思,是如何运行的

1 个答案

星星_品职助教 · 2022年02月13日

同学你好,

这是个凑选项的。简单里了解一下就可以。

在蒙特卡洛模拟发射随机数时。随机数往往是通过uniform distribution产生的,需要经过转化才能转化为服从正态分布的随机数。这个转化的过程中涉及到取反函数。这个得到正态分布随机数的过程就是inverse transformation。过程不用掌握。

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