The sampling properties of the mean-variance decision vector are studied. We sho,v that, when the parameters of yield distributions are uncertain, risk in estimation causes bias in these decisions and large variances. Especially with small samples, decisions based on estimated parameters can be very poor estimates of optimal behavior.