Abstract:
The investment portfolio optimization problem in the Heston model is solved via several reductions. Namely, we reduce the original problem to the Cauchy problem for a new fully nonlinear parabolic equation and construct its probabilistic representation via solution of a forward–backward stochastic differential equation (FBSDE). Next we reduce solution of the FBSDE to a new optimization problem and construct its numerical solution applying the neural network technique.
Key words and phrases:optimal portfolio, fully nonlinear parabolic equations, forward and backward stochastic differential equations, neural networks.