FRM Part I · FRM Exam Part I · Multivariate Random Variables
Two asset returns X and Y are jointly bivariate normal. X has mean 4% and standard deviation 10%, Y has mean 6% and standard deviation 20%, and the correlation is 0.5. Which statement about the distribution of the portfolio return P = X + Y is correct?
The portfolio return is normal with a mean of 10% and a standard deviation of about 26.5%. Linear combinations of jointly normal variables stay normal, and the variance is 0.01 + 0.04 + 2(0.5)(0.1)(0.2) = 0.07, whose square root is about 26.46%.
- AP is normal with mean 10% and standard deviation 30%
- BP is normal with mean 10% and standard deviation about 26.5%Correct
- CP is normal with mean 10% and standard deviation about 22.4%
- DP is not normal because X and Y are correlated
Explanation
Any linear combination of jointly normal variables is normal. Variance = 0.01 + 0.04 + 2(0.5)(0.10)(0.20) = 0.07, so the standard deviation is sqrt(0.07) = 26.46%. Option A ignores diversification (assumes correlation of 1); option C assumes zero correlation (sqrt(0.05)).
Did you get it right without looking?
One question tells you little. A timed set on Multivariate Random Variables shows your real accuracy, how long you take and where you lose marks.
More Multivariate Random Variables questions
- X takes values 1, 2 and 3. Given X=1, Y has mean 4; given X=2, mean 6; given X=3, mean 10. The marginal probabilities of X are P(1)=0.20, P(…
- X takes values 1 or 2 and Y takes values 10 or 20 with joint probabilities: P(1,10)=0.30, P(1,20)=0.20, P(2,10)=0.10, P(2,20)=0.40. What is …
- Two discrete variables X and Y have the joint pmf: P(0,0)=0.20, P(0,1)=0.20, P(1,0)=0.30, P(1,1)=0.30. Which statement is correct?
- Which feature distinguishes a multivariate Student's t distribution from a multivariate normal distribution with the same correlation matrix…
- A portfolio holds 60% in asset X and 40% in asset Y. The returns are jointly normal with standard deviations of 10% for X and 20% for Y, and…
- X and Y are standardized bivariate normal variables with correlation ρ = 0.5. Using the cokurtosis definition K(X,X,Y,Y) = E[X^2 Y^2] for ze…