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.