In: Finance
| Mean | 8.00% | 11.00% | |||
| Variance | 1.71% | 2.67% | |||
| Standard deviation | 13.08% | 16.34% | |||
| Covariance | 0.20% | ||||
| Correlation | 0.09360 | ||||
|
Proportion of stocok A in portfolio |
Portfolio Variance |
Portfolio standard deviation |
Portfolio mean |
||
| 0% | 2.67% | ||||
| 10% | |||||
| 20% | |||||
| 30% | |||||
| 40% | |||||
| 50% | |||||
| 60% | |||||
| 70% | |||||
| 80% | |||||
| 90% | |||||
| 100% | |||||
1) Given the data, figure out the correlation between two stocks.
2) Fill out the table for the mean, variance, and standard deviation for the portfolio
3) Draw a plot for the relationship between risk and return, as shown below.
a) correlation is calculated as follows:

b) Portfolio Expected return is calculated by solving the following equation:
r is the mean of the stock
Portfolio standard deviation is calculated by solving the following equation:


Variance is the square of standard deviation
Now for different weights the data table can be created by substituting the values in the above equations, for example if weight of A is 10% and that of B is 90% then the above equations will give the following values:



Variance = 14.89 x 14.89 = 2.22%
Now we can create the data table
| Weight of A | Variance | Standard deviation | Mean |
| 0.00% | 2.67% | 16.34% | 11.00% |
| 10.00% | 2.22% | 14.89% | 10.70% |
| 20.00% | 1.84% | 13.57% | 10.40% |
| 30.00% | 1.55% | 12.43% | 10.10% |
| 40.00% | 1.33% | 11.54% | 9.80% |
| 50.00% | 1.20% | 10.93% | 9.50% |
| 60.00% | 1.14% | 10.67% | 9.20% |
| 70.00% | 1.16% | 10.78% | 8.90% |
| 80.00% | 1.27% | 11.25% | 8.60% |
| 90.00% | 1.45% | 12.04% | 8.30% |
| 100.00% | 1.71% | 13.08% | 8.00% |
c) Below is the plot of portfolio mean and standard deviation
