
doi: 10.2139/ssrn.352900
We analyze a problem of maximization of expected terminal wealth and consumption under constraints in a general financial framework, which includes models with constrained portfolios, labor income and large investor models. By introducing the new finite probability space, as well as a new utility function, the considered problem is converted to the one studied by Pham and Mnif (2002) [48]. By using general optional decomposition under constraints, we can develop a dual formulation under minimal assumption modeled as in Pham and Mnif (2002) [48]. We then are able to prove an existence and uniqueness of an optimal solution to primal problem. Under the assumption that there exists a solution to the corresponding dual problem, an optimal consumption plan can be found by convex duality.
Stochastic Optimization, Consumption and Investment Optimization, Duality Theory, Convex and State Constraints, Utility Maximization, Optional Decomposition, Minimax Theorem}, jel: jel:G
Stochastic Optimization, Consumption and Investment Optimization, Duality Theory, Convex and State Constraints, Utility Maximization, Optional Decomposition, Minimax Theorem}, jel: jel:G
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