Skip to content

Covariance from variances of sum and difference

Question

For random variables XX and YY, the variance of X−YX-Y is 1010 and the variance of X+YX+Y is 1818. What is Cov(X,Y)\text{Cov}(X,Y)?

Short answer

22. Expanding both variances, the Var(X)\text{Var}(X) and Var(Y)\text{Var}(Y) terms cancel in the difference: Var(X+Y)−Var(X−Y)=4 Cov(X,Y)\text{Var}(X+Y)-\text{Var}(X-Y)=4\,\text{Cov}(X,Y), so Cov(X,Y)=8/4=2\text{Cov}(X,Y)=8/4=2.

Adapted from QuantQuestions.io; question and answer rewritten by SelfMadeQuant.com.

See the hint and the full worked solution in the question bank (free account).

Open the worked solution

Lessons behind this question

Start with a free lesson: Expectation, Variance and Covariance is part of a free topic. Create a free account, no card needed, to read it in full with worked solutions.

Read it free