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Time-Inconsistent Stochastic Linear--Quadratic Control
Hu Y., Jin H., Zhou X. Y.
SIAM Journal on Control and Optimization 50, 3 (2012) 1548-1572 - http://hal.archives-ouvertes.fr/hal-00691816
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Mathématiques/Optimisation et contrôle
Mathématiques/Systèmes dynamiques
Mathématiques/Probabilités
Économie et finance quantitative/Gestion de portefeuilles
Time-Inconsistent Stochastic Linear--Quadratic Control
Ying Hu () 1, Hanqing Jin, Xun Yu Zhou
1 :  Institut de Recherche Mathématique de Rennes (IRMAR)
http://irmar.univ-rennes1.fr/
CNRS : UMR6625 – Université de Rennes 1 – École normale supérieure de Cachan - ENS Cachan – Institut National des Sciences Appliquées (INSA) : - RENNES – Université de Rennes II - Haute Bretagne
France
Processus stochastiques
In this paper, we formulate a general time-inconsistent stochastic linear--quadratic (LQ) control problem. The time-inconsistency arises from the presence of a quadratic term of the expected state as well as a state-dependent term in the objective functional. We define an equilibrium, instead of optimal, solution within the class of open-loop controls, and derive a sufficient condition for equilibrium controls via a flow of forward--backward stochastic differential equations. When the state is one dimensional and the coefficients in the problem are all deterministic, we find an explicit equilibrium control. As an application, we then consider a mean-variance portfolio selection model in a complete financial market where the risk-free rate is a deterministic function of time but all the other market parameters are possibly stochastic processes. Applying the general sufficient condition, we obtain explicit equilibrium strategies when the risk premium is both deterministic and stochastic.
Anglais
03/11/2011

SIAM Journal on Control and Optimization
Publisher Society for Industrial and Applied Mathematics
ISSN 0363-0129 
internationale
2012
50
3
1548-1572

time-inconsistency – stochastic linear-quadratic control – equilibriumcontrol – forward-backward stochastic differential equation – mean-variance portfolio selection
93E99, 60H10, 91B28

Lien vers le texte intégral : 
http://fr.arXiv.org/abs/1111.0818