DocumentCode :
2382449
Title :
A Markovian regime-switching stochastic differential game for portfolio risk minimization
Author :
Elliott, Robert J. ; Siu, Tak Kuen
Author_Institution :
Haskayne Sch. of Bus., Univ. of Calgary, Calgary, AB
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
1017
Lastpage :
1022
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.
Keywords :
Markov processes; banking; continuous time systems; risk management; stochastic games; Hamilton-Jacobi-Bellman solution; Markovian regime-switching financial model; banking; continuous-time system; finite-state Markov chain; risk minimization problem; stochastic differential game; Density measurement; Finance; Financial management; Game theory; Mathematics; Motion measurement; Portfolios; Reactive power; Risk management; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4586625
Filename :
4586625
Link To Document :
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