For any three real random variables $X,Y,Z$, prove or disprove that $\langle XY\rangle$, $\langle XZ\rangle$, $\langle YZ\rangle$ can't all be negative.
Here $\langle \cdot \rangle$ denotes an expectation over the joint probability distribution of the three variables.
Intuitively I think they can't all be negative, because if $X,Y$ are anticorrelated, and $X,Z$ are anticorrelated, how can $Y,Z$ also be anticorrelated? But I am not sure how to prove this, or if there is a counterexample.
It might be necessary to assume that $X,Y,Z$ have zero means.
n <- 10000; u <- rnorm(n,0,0.5); v <- rnorm(n,0,sqrt(0.75)); xyz <- data.frame(x=u+u,y=-u+v,z=-u-v); cor(xyz)– Glen_b Sep 24 '18 at 16:17