Title
Mean-field backward stochastic differential equations and applications
Abstract
In this paper we study the linear mean-field backward stochastic differential equations (mean-field BSDE) of the form (0.1)dY(t)=−[α1(t)Y(t)+β1(t)Z(t)+∫R0η1(t,ζ)K(t,ζ)ν(dζ)+α2(t)E[Y(t)]+β2(t)E[Z(t)]+∫R0η2(t,ζ)E[K(t,ζ)]ν(dζ)+γ(t)]dt+Z(t)dB(t)+∫R0K(t,ζ)Ñ(dt,dζ),t∈0,T,Y(T)=ξ.where (Y,Z,K) is the unknown solution triplet, B is a Brownian motion, Ñ is a compensated Poisson random measure, independent of B. We prove the existence and uniqueness of the solution triplet (Y,Z,K) of such systems. Then we give an explicit formula for the first component Y(t) by using partial Malliavin derivatives. To illustrate our result we apply them to study a mean-field recursive utility optimization problem in finance.
Year
DOI
Venue
2022
10.1016/j.sysconle.2022.105196
Systems & Control Letters
Keywords
DocType
Volume
Mean-field backward stochastic differential equations,Existence and uniqueness,Linear mean-field BSDE,Explicit solution,Mean-field recursive utility problem
Journal
162
ISSN
Citations 
PageRank 
0167-6911
2
0.64
References 
Authors
0
3
Name
Order
Citations
PageRank
N. Agram1173.27
Yaozhong Hu2278.83
Bernt Oksendal38915.84