Systems of ergodic BSDEs arising in regime switching forward performance processes
Ying Hu, Gechun Liang, Shanjian Tang

TL;DR
This paper introduces ergodic BSDE systems on an infinite horizon, linking them to forward performance processes, optimal trading strategies, and long-term utility maximization in regime switching markets.
Contribution
It develops a new class of quadratic ergodic BSDE systems and connects their solutions to long-term growth rates and PDE systems with quadratic Hamiltonians.
Findings
Established existence and uniqueness of solutions to ergodic BSDE systems.
Connected ergodic BSDE solutions to utility maximization and long-term growth.
Analyzed the large-time behavior of PDE systems with quadratic growth Hamiltonians.
Abstract
We introduce and solve a new type of quadratic backward stochastic differential equation systems defined in an infinite time horizon, called \emph{ergodic BSDE systems}. Such systems arise naturally as candidate solutions to characterize forward performance processes and their associated optimal trading strategies in a regime switching market. In addition, we develop a connection between the solution of the ergodic BSDE system and the long-term growth rate of classical utility maximization problems, and use the ergodic BSDE system to study the large time behavior of PDE systems with quadratic growth Hamiltonians.
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