Title
Constrained Quadratic Risk Minimization via Forward and Backward Stochastic Differential Equations
Abstract
In this paper we study a continuous-time stochastic linear quadratic control problem arising from mathematical finance. We model the asset dynamics with random market coefficients and portfolio strategies with convex constraints. Following the convex duality approach, we show that the necessary and sufficient optimality conditions for both the primal and dual problems can be written in terms of processes satisfying a system of forward and backward stochastic differential equations (FBSDEs) together with other conditions. We characterize explicitly the optimal wealth and portfolio processes as functions of adjoint processes from the dual FBSDEs in a dynamic fashion, and vice versa. We apply the results to solve quadratic risk minimization problems with cone constraints and derive the explicit representations of solutions to the extended stochastic Riccati equations for such problems.
Year
DOI
Venue
2018
10.1137/15M1052457
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
Keywords
Field
DocType
convex duality,primal and dual FBSDEs,stochastic linear quadratic control,random coefficients,control constraints
Mathematical optimization,Mathematical finance,Quadratic equation,Linear quadratic,Stochastic differential equation,Portfolio,Regular polygon,Convex duality,Minification,Mathematics
Journal
Volume
Issue
ISSN
56
2
0363-0129
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Yusong Li100.34
Harry Zheng2289.30