A Note on Utility Maximization with Unbounded Random Endowment
Abstract
This paper addresses the applicability of the convex duality method for utility maximization, in the presence of random endowment. When the price process is a locally bounded semimartingale, we show that the fundamental duality relation holds true, for a wide class of utility functions and unbounded random endowments. We show this duality by exploiting Rockafellar's theorem on integral functionals, to a random utility function.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Springer in its journal Asia-Pacific Financial Markets.
Volume (Year): 18 (2011)
Issue (Month): 1 (March)
Pages: 89-103
Contact details of provider:
Web page: http://springerlink.metapress.com/link.asp?id=102851
Related research
Keywords: Utility maximization; Convex duality method; Martingale measures;Other versions of this item:
- Keita Owari, 2009. "A Note on Utility Maximization with Unbounded Random Endowment," Global COE Hi-Stat Discussion Paper Series gd09-091, Institute of Economic Research, Hitotsubashi University.
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- Mark P. Owen & Gordan Žitković, 2009. "Optimal Investment With An Unbounded Random Endowment And Utility-Based Pricing," Mathematical Finance, Wiley Blackwell, vol. 19(1), pages 129-159.
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Keita Owari, 2011. "ON ADMISSIBLE STRATEGIES IN ROBUST UTILITY MAXIMIZATION (Forthcoming in "Mathematics and Financial Economics")," CARF F-Series CARF-F-257, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Keita Owari, 2011. "On Admissible Strategies in Robust Utility Maximization," Papers 1109.5512, arXiv.org, revised Mar 2012.
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