A Markovian regime-switching stochastic differential game for portfolio risk minimization

Robert J. Elliott, Tak Kuen Siu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)
63 Downloads (Pure)

Abstract

A risk minimization problem is considered in a continuous-time Markovian regime-switching financial model modulated by a continuous-time, finite-state Markov chain. We interpret the states of the chain as different market regimes. A convex risk measure is used as a measure of risk and an optimal portfolio is determined by minimizing the convex risk measure of the terminal wealth. We explore the state of the art of the stochastic differential game to formulate the problem as a Markovian regime-switching version of a two-player, zero-sum stochastic differential game. A verification theorem for the Hamilton-Jacobi-Bellman (HJB) solution of the game is provided.

Original languageEnglish
Title of host publicationProceedings of the 2008 American Control Conference
Subtitle of host publicationSeattle, WA, USA, July 11-13, 2008
EditorsNaira Hovakimyan
Place of PublicationNew York
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1017-1022
Number of pages6
ISBN (Print)9781424420797
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: 11 Jun 200813 Jun 2008

Other

Other2008 American Control Conference, ACC
Country/TerritoryUnited States
CitySeattle, WA
Period11/06/0813/06/08

Bibliographical note

Copyright 2008 IEEE. Reprinted from Proceedings of the 2008 American Control Conference. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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