A numerical scheme for a singular control problem: Investment–consumption under proportional transaction costs

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This paper concerns the numerical solution of a fully nonlinear parabolic double obstacle problem arising from a finite portfolio selection with proportional transaction costs. We consider optimal allocation of wealth among multiple stocks and a bank account in order to maximize the finite horizon discounted utility of consumption. The problem is mainly governed by a time-dependent Hamilton–Jacobi–Bellman equation with gradient constraints. We propose a numerical method which is composed of Monte Carlo simulation to take advantage of the high-dimensional properties and finite difference method to approximate the gradients of the value function. Numerical results illustrate behaviors of the optimal trading strategies and also satisfy all qualitative properties proved in Dai et al. (2009) and Chen and Dai (2013).

论文关键词:Hamilton–Jacobi–Bellman equation,Stochastic control,Monte Carlo approximation,Backward stochastic differential equations,Portfolio optimization,Transaction costs

论文评审过程:Received 29 April 2017, Revised 20 October 2017, Accepted 29 October 2017, Available online 8 November 2017, Version of Record 21 November 2017.

论文官网地址:https://doi.org/10.1016/j.cam.2017.10.035