Efficient Simulation of Optimal Investment Strategies in Competitive Financial Markets with Heterogeneous Agents

The core message of this paper is to propose an efficient deep learning-based method for computing the equilibrium strategies and utilities in a graphon game formulation of a utility maximization problem under relative performance concern among a large population of heterogeneous financial agents.