In this paper we deal with chance-constrained optimization problems, a class of problems which arise naturally in practical applications in finance, engingeering, transportation and scheduling, where decisions are made in presence of uncertainty. After giving its deterministic equivalent formulation we construct a conjugate dual problem to it and give sufficient conditions which ensure strong duality. In this way we generalize some results recently given in the literature. We also
treat as an application a portfolio optimization problem for which we derive necessary and sufficient optimality conditions by means of the duality theory.