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刘茜娅 · 2023年01月03日

我有点迷糊CV和COV的区别

NO.PZ2021062201000003

问题如下:

A two-stock portfolio includes stocks with the following characteristics:


What is the standard deviation of portfolio returns?

选项:

A.

14.91%

B.

18.56%

C.

21.10%

解释:

B is correct. The covariance between the returns for the two stocks is

Cov (R1,R2) = ρ (R1,R2) σ (R1) σ(R2) = 0.20 (12) (25) = 60.

The portfolio variance is:

σ2Rp=w12σ2(R1)+w22σ2(R2)+2w1w2Cov(R1,R2){\sigma ^2}{R_p} = w_1^2{\sigma ^2}({R_1}) + w_2^2{\sigma ^2}({R_2}) + 2{w_1}{w_2}Cov({R_1},{R_2})

=(0.30)2(12)2+(0.7)2(25)2+2(0.30)(0.70)(60)

=12.96 +306.25 +25.2

=344.41

The portfolio standard deviation is:

σ2(RP)=344.411/2=18.56%{\sigma ^2}({R_P}) = {344.41^{1/2}} = 18.56\%

知识点:Probability Concepts

我有点迷糊CV和COV的区别,可以麻烦解释下吗?

2 个答案

星星_品职助教 · 2023年01月04日

@刘茜娅

1)这一组公式针对的样本的情况,即样本协方差和样本相关系数。


2)这一组公式和抽样无关。

Cov中的E为根据概率做加权平均。correlation中,上面的r为样本相关系数,这里的ρ为总体相关系数。

星星_品职助教 · 2023年01月03日

同学你好,

CV是描述单个变量的离散程度的指标,和方差/标准差,range,MAD这些是一类的,衡量的是变量自身的风险;

Covariance / correlation是描述两个变量共同变化的指标,所以使用的范围多数都是资产组合,衡量变量之间组合在一起如何实现分散化,改善组合的风险。

刘茜娅 · 2023年01月03日

是因为一个是Sxy和rxy采样的,而cov和p的表达是总体吗?

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