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坏呼呼嘿嘿 · 2023年06月16日

不是要以市值为权重反算return吗?这好像也没用上啊

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NO.PZ201803130100000402

问题如下:

Contrast, using the information provided above, the results of a reverse optimization approach with that of the MVO approach for each of the following:

ii. The values of the expected returns for US equities and global bonds. Justify your response.

选项:

解释:

The values of the expected returns for US equities and global bonds
For the reverse optimization approach, the expected returns of asset classes are the outputs of optimization with the market capitalization weights, covariances, and the risk aversion coefficient used as inputs.
In contrast, for the MVO approach, the expected returns of asset classes are inputs to the optimization, with the expected returns generally estimated using historical data.
The computed values for the expected returns for global bonds and US equities using the reverse optimization method are 5.3% and 9.7%, respectively.
In contrast, the expected return estimates used in the MVO approach from Exhibit 1 for global bonds and US equities are 4.7% and 8.6%, respectively.


The output of the reverse optimization method are optimized returns which are viewed as unobserved equilibrium or imputed returns. The equilibrium returns are essentially long-run capital market returns provided by each asset class and are strongly linked to CAPM. In contrast, the expected returns in the MVO approach are generally forecasted based on historical data and are used as inputs along with covariances and the risk aversion
  coefficient in the optimization. The reverse-optimized returns are calculated using a CAPM approach. The return on an asset class using the CAPM approach is calculated as follows:
Return on Asset Class = Risk-Free Rate + (Beta) (Market Risk Premium)


Therefore, the implied returns for global bonds and US equities are calculated as follows:
Return on Global Bonds = 2.0% + (0.6) (5.5%) = 5.3%
Return on US Equities = 2.0% + (1.4) (5.5%) = 9.7%


The implied equilibrium returns for global bonds and US equities are 5.3% and 9.7%, respectively. These implied returns are above the forecasted returns based on historical data (from Exhibit 1) used as inputs in the MVO approach for global bonds and US equities of 4.7% and 8.6%, respectively.

如题

1 个答案

lynn_品职助教 · 2023年06月18日

嗨,爱思考的PZer你好:


不是要以市值为权重反算return吗?这好像也没用上啊


用上了的。


这道题如此计算是因为题目考点是MVO与reverse optimization的对比,比较新颖的考法。这是原版书课后题R13第15题,可以听一下相关讲解


对比来看一下:


正向MVO需要的输入变量分别是历史数据估计得出的E(R)、standard deviations、以及pair-wise correlations。答案中提到的covariances that are forecasted using historical data包含了standard deviations、以及pair-wise correlations。




MVO方法用的是historical data,所以expected return就是题干表格中的数字。reverse optimization方法用的是 implied returns ,所以要用CAPM分别计算资产的return。


The MVO approach, the expected returns of asset classes are inputs to the optimization, with the expected returns generally estimated using historical data.


正向MVO输入变量E(r), σ, ρ,给定公式 U= E(R) – 0.005 λσ2,交给电脑去做 U的最大化求解。


reverse optimization第一步是根据市场组合基金的权重反求出暗含的E(r),简单说就是以市值权重作为输入变量,然后得到implied return。


第二步跟MVO的过程是一样的,根据第一步求出的E(r)和历史统计得来的标准差和correlation进行正向最优化。


权重是用来算E(r)的,到了第二步还是和正向MVO一样。


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虽然现在很辛苦,但努力过的感觉真的很好,加油!

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