Abstract
We establish the existence of minimizers in a rather general setting of dynamic stochastic optimization in finite discrete time without assuming either convexity or coercivity of the objective function. We apply this to prove the existence of optimal investment strategies for non-concave utility maximization problems in financial market models with frictions, a first result of its kind. The proofs are based on the dynamic programming principle whose validity is established under quite general assumptions.
Original language | English |
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Number of pages | 16 |
Journal | Mathematics and Financial Economics |
Early online date | 29 Jun 2016 |
DOIs | |
Publication status | E-pub ahead of print - 29 Jun 2016 |