
Financial Risk Manager Part 1
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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?
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TTanishq
Explanation:
Calculation 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:
- Variance of X (σ²_X) = 650
- Variance of Y (σ²_Y) = 450
- Covariance between X and Y = 120
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.
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