Ergodic distribution dependent BSDE and application to long-time behavior of finite horizon distribution dependent BSDE
Kaplan Desbouis, Adrien Richou

TL;DR
This paper establishes the existence and uniqueness of ergodic distribution dependent BSDEs under dissipativity conditions and applies these results to analyze long-time behavior in McKean--Vlasov stochastic control problems.
Contribution
It introduces a new framework for ergodic distribution dependent BSDEs and applies it to long-time analysis of finite horizon distribution dependent BSDEs and control problems.
Findings
Existence and uniqueness of ergodic distribution dependent BSDEs
Long-time behavior characterization of finite horizon distribution dependent BSDEs
Application to ergodic McKean--Vlasov stochastic control problems
Abstract
After proving existence and uniqueness of ergodic distribution dependent backward stochastic differential equations (BSDEs) under strong and weak dissipativity regimes for the underlying McKean--Vlasov SDE, we leverage this new framework to investigate the long-time behavior of distribution dependent BSDEs on a finite-time horizon. Finally, we apply our results to solve an ergodic McKean--Vlasov stochastic control problem and study the long-time behavior of the value function of a finite-horizon McKean--Vlasov stochastic control problem.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Risk and Portfolio Optimization · Financial Risk and Volatility Modeling
