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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/138690

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Title
Robust optimal portfolio choice under Markovian regimes-switching model
Related
Methodology and computing in applied probability, Vol. 11, Issue 2, (2009), p.145-157
DOI
10.1007/s11009-008-9085-3
Publisher
Springer
Date
2009
FoR/RFCD Code(s)
010400 Statistics  010300 Numerical and Computational Mathematics  080200 Computation Theory and Mathematics
Author/Creator
Elliott, Robert J
Author/Creator
Siu, Tak Kuen
Description
We investigate an optimal portfolio selection problem in a continuous-time Markov-modulated financial market when an economic agent faces model uncertainty and seeks a robust optimal portfolio strategy. The key market parameters are assumed to be modulated by a continuous-time, finite-state Markov chain whose states are interpreted as different states of an economy. The goal of the agent is to maximize the minimal expected utility of terminal wealth over a family of probability measures in a finite time horizon. The problem is then formulated as a Markovian regime-switching version of a two-player, zero-sum stochastic differential game between the agent and the market. We solve the problem by the Hamilton-Jacobi-Bellman approach.
Description
13 page(s)
Subject Keyword
010400 Statistics
Subject Keyword
010300 Numerical and Computational Mathematics
Subject Keyword
080200 Computation Theory and Mathematics
Subject Keyword
Robust optimal portfolio
Subject Keyword
Utility maximization
Subject Keyword
Model uncertainty
Subject Keyword
Stochastic differential game
Subject Keyword
Change of measures
Resource Type
journal article
Organisation
Macquarie University. Dept. of Actuarial Studies

Identifier
http://hdl.handle.net/1959.14/138690
Identifier
ISSN:1387-5841
Identifier
mq-rm-2009002171
Language
eng
Reviewed
Reviewed
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Citation Format
E-mail Address
Subject
"Methodology and computing in applied probability"
 
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