# Question

1. Consequence of positive covariance

2. Covariance between X and Y.

3. Property of uncorrelated random variables

4. Weighted sum of two random variables

5. Sharpe ratio of a random variable

6. Implies X and Y are independent random variables

7. Implies X and Y are identically distributed

8. Symbol for the correlation between random variables

9. Symbol for a joint probability distribution

10. Sequence of iid random variables

(a) p(x, y)

(b) ρ

(c) p(x, y) = p(x)p(y)

(d) ρσx σ3

(e) Var(X + Y) > Var(X) + Var(Y)

(f) p(x) = p(y)

(g) X1, X2, X3

(h) Var(X + Y) = Var(X) + Var(Y)

(i) S(Y)

(j) 3X - 2Y

2. Covariance between X and Y.

3. Property of uncorrelated random variables

4. Weighted sum of two random variables

5. Sharpe ratio of a random variable

6. Implies X and Y are independent random variables

7. Implies X and Y are identically distributed

8. Symbol for the correlation between random variables

9. Symbol for a joint probability distribution

10. Sequence of iid random variables

(a) p(x, y)

(b) ρ

(c) p(x, y) = p(x)p(y)

(d) ρσx σ3

(e) Var(X + Y) > Var(X) + Var(Y)

(f) p(x) = p(y)

(g) X1, X2, X3

(h) Var(X + Y) = Var(X) + Var(Y)

(i) S(Y)

(j) 3X - 2Y

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