Robust Optimal Investment in Discrete Time for Unbounded Utility Function
Laurence Carassus and
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This paper investigates the problem of maximizing expected terminal utility in a discrete-time financial market model with a finite horizon under non-dominated model uncertainty. We use a dynamic programming framework together with measurable selection arguments to prove that under mild integrability conditions, an optimal portfolio exists for an unbounded utility function defined on the half-real line.
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Date: 2016-09, Revised 2017-10
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1609.09205
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