  We assume that the forecast error follows a probability distribution which is
symmetric and monotonically non-increasing on non-negative real numbers, and if
there is a mismatch between observed and predicted value, then we suffer a
loss. Under the assumptions, we solve a minimization problem with an asymmetric
loss function. In addition, we give an inequality for the variance of the loss.
