Duality in Robust Utility Maximization with Unbounded Claim via a Robust Extension of Rockafellar's Theorem
AbstractWe study the convex duality method for robust utility maximization in the presence of a random endowment. When the underlying price process is a locally bounded semimartingale, we show that the fundamental duality relation holds true for a wide class of utility functions on the whole real line and unbounded random endowment. To obtain this duality, we prove a robust version of Rockafellar's theorem on convex integral functionals and apply Fenchel's general duality theorem.
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Bibliographic InfoPaper provided by arXiv.org in its series Papers with number 1101.2968.
Date of creation: Jan 2011
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- Keita Owari, 2011. "On Admissible Strategies in Robust Utility Maximization," Papers 1109.5512, arXiv.org, revised Mar 2012.
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