Existence of solutions in non-convex dynamic programming and optimal investment

Teemu August Pennanen, Ari-Pekka Perkkiö, Miklos Rasonyi

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
156 Downloads (Pure)

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 languageEnglish
Number of pages16
JournalMathematics and Financial Economics
Early online date29 Jun 2016
DOIs
Publication statusE-pub ahead of print - 29 Jun 2016

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