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The covariance matrix of two stocks is given in the following exhibit.
Exhibit: Covariance Matrix
| Stock | X | Y |
|---|---|---|
| X | 650 | 120 |
| Y | 120 | 450 |
What is the correlation of returns for stocks X and Y?
A
0.45
B
0.22
C
0.37
D
0.33
Explanation:
To calculate the correlation between stocks X and Y, we use the formula:
[\rho_{X,Y} = \frac{\text{Cov}(X,Y)}{\sigma_X \cdot \sigma_Y}]
From the covariance matrix:
Step 1: Calculate standard deviations [\sigma_X = \sqrt{650} = 25.50] [\sigma_Y = \sqrt{450} = 21.21]
Step 2: Calculate correlation [\rho_{X,Y} = \frac{120}{25.50 \times 21.21} = \frac{120}{540.855} = 0.22]
Therefore, the correlation coefficient between stocks X and Y is 0.22, which corresponds to option B.