This paper studies a two-stage stochastic programming model with the mean-CVaR objective function in the second stage.

The model only requires certain knowledge on moments of the underlying random variables.

A class of easy problems is identified.

A scheme to handle the hard problem is proposed.

Numerical results on two-stage portfolio optimization material order and other two problems are presented.