Robust utility maximization with limited downside risk in incomplete markets

被引:21
|
作者
Gundel, Anne [2 ]
Weber, Stefan [1 ]
机构
[1] Cornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY 14853 USA
[2] Humboldt Univ, Berlin, Germany
关键词
robust utility maximization; optimal portfolio choice; utility-based shortfall risk; convex risk measures; semimartingales;
D O I
10.1016/j.spa.2007.03.014
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article we consider the portfolio selection problem of an agent with robust preferences in the sense of Gilboa and Schmeidler [Itzhak Gilboa, David Schmeidler, Maxmin expected utility with non-unique prior, Journal of Mathematical Economics 18 (1989) 141-153] in an incomplete market. Downside risk is constrained by a robust version of utility-based shortfall risk. We derive an explicit representation of the optimal terminal wealth in terms of certain worst case measures which can be characterized as minimizers of a dual problem. This dual problem involves a three-dimensional analogue of f-divergences which generalize the notion of relative entropy. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:1663 / 1688
页数:26
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