Covariance of X with Y squared

Let (X,Y)(X, Y) be bivariate normal with XX and YY each standard normal and Corr⁡(X,Y)=ρ\operatorname{Corr}(X, Y) = \rho. Compute Cov⁡(X,Y2)\operatorname{Cov}(X, Y^2).

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  1. Cov⁡(X,Y2)=E[XY2]\operatorname{Cov}(X,Y^2)=\mathbb{E}[XY^2] (since E[X]=0\mathbb{E}[X]=0).
  2. Write X=ρY+1−ρ2ZX=\rho Y+\sqrt{1-\rho^2}Z; the terms are ρ E[Y3]\rho\,\mathbb{E}[Y^3] and E[Z]E[Y2]\mathbb{E}[Z]\mathbb{E}[Y^2], both 00.

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