Abstract
In this paper, we survey the stochastic programming models developed to deal with financial optimization problems.
A few methods are introduced in details to generate reasonable scenarios which are of much importance for a successful model.
Besides, computation aspects as well as some open problems in this area are addressed.
Keywords: Stochastic Programming, Financial Optimization; Risk Management; Scenarion Generation.
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