
Financial Risk Manager Part 1
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Two random variables X and Y are such that V[X] = 4V[Y] and Cov[X,Y] = V[Y]. Let E = X + Y and F = X - Y. Find Cov[E, F].
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TTanishq
Explanation:
Explanation
To find Cov[E, F], we use the covariance properties:
Cov[E, F] = Cov[X + Y, X - Y]
Using the bilinearity property of covariance: = Cov[X, X] - Cov[X, Y] + Cov[Y, X] - Cov[Y, Y]
Since:
- Cov[X, X] = V[X] (variance of X)
- Cov[Y, Y] = V[Y] (variance of Y)
- Cov[X, Y] = Cov[Y, X] (covariance is symmetric)
We get: = V[X] - Cov[X, Y] + Cov[X, Y] - V[Y] = V[X] - V[Y]
Given that V[X] = 4V[Y], we substitute: = 4V[Y] - V[Y] = 3V[Y]
Key properties used:
- Cov[X, X] = V[X]
- Cov[X, Y] = Cov[Y, X]
- Cov[aX + bY, cZ + dW] = acCov[X, Z] + adCov[X, W] + bcCov[Y, Z] + bdCov[Y, W]
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