Utility maximization in incomplete markets with random endowment
This paper solves a long-standing open problem in mathematical finance: to find a solution to the problem of maximizing utility from terminal wealth of an agent with a random endowment process, in the general, semimartingale model for incomplete markets, and to characterize it via the associated dua...
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SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business
2000
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ndltd-VIENNA-oai-epub.wu-wien.ac.at-epub-wu-01_f02015-04-02T05:03:17Z Utility maximization in incomplete markets with random endowment Cvitanic, Jaksa Schachermayer, Walter Wang, Hui JEL G11 utility maximization / incomplete markets / random endowment / duality This paper solves a long-standing open problem in mathematical finance: to find a solution to the problem of maximizing utility from terminal wealth of an agent with a random endowment process, in the general, semimartingale model for incomplete markets, and to characterize it via the associated dual problem. We show that this is indeed possible if the dual problem and its domain are carefully defined. More precisely, we show that the optimal terminal wealth is equal to the inverse of marginal utility evaluated at the solution to the dual problem, which is in the form of the regular part of an element of(L∞)* (the dual space of L∞). (author's abstract) SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business 2000 Paper NonPeerReviewed en application/pdf http://epub.wu.ac.at/518/1/document.pdf Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science" http://epub.wu.ac.at/518/ |
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JEL G11 utility maximization / incomplete markets / random endowment / duality |
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JEL G11 utility maximization / incomplete markets / random endowment / duality Cvitanic, Jaksa Schachermayer, Walter Wang, Hui Utility maximization in incomplete markets with random endowment |
description |
This paper solves a long-standing open problem in mathematical finance: to find a solution to the problem of maximizing utility from terminal wealth of an agent with a random endowment process, in the general, semimartingale model for incomplete markets, and to characterize it via the associated dual problem. We show that this is indeed possible if the dual problem and its domain are carefully defined. More precisely, we show that the optimal terminal wealth is equal to the inverse of marginal utility evaluated at the solution to the dual problem, which is in the form of the regular part of an element of(L∞)* (the dual space of L∞). (author's abstract) === Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science" |
author |
Cvitanic, Jaksa Schachermayer, Walter Wang, Hui |
author_facet |
Cvitanic, Jaksa Schachermayer, Walter Wang, Hui |
author_sort |
Cvitanic, Jaksa |
title |
Utility maximization in incomplete markets with random endowment |
title_short |
Utility maximization in incomplete markets with random endowment |
title_full |
Utility maximization in incomplete markets with random endowment |
title_fullStr |
Utility maximization in incomplete markets with random endowment |
title_full_unstemmed |
Utility maximization in incomplete markets with random endowment |
title_sort |
utility maximization in incomplete markets with random endowment |
publisher |
SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business |
publishDate |
2000 |
url |
http://epub.wu.ac.at/518/1/document.pdf |
work_keys_str_mv |
AT cvitanicjaksa utilitymaximizationinincompletemarketswithrandomendowment AT schachermayerwalter utilitymaximizationinincompletemarketswithrandomendowment AT wanghui utilitymaximizationinincompletemarketswithrandomendowment |
_version_ |
1716799917251362816 |