Abstract:
We study the mean field games equations consisting of the coupled Kolmogorov–Fokker–Planck and Hamilton–Jacobi–Bellman equations. The equations are supplemented with initial and terminal conditions. It is shown that for a certain specific choice of data this problem can be reduced to solving a quadratically nonlinear ODE system. This situation occurs naturally in economic applications. As an example, the problem of forming an investor's opinion on an asset is considered.
Key words:mean field games theory, Riccati equations, exact solutions, portfolio selection.