Contents Online
Statistics and Its Interface
Volume 9 (2016)
Number 1
An application of stochastic control theory to a bank portfolio choice problem
Pages: 69 – 77
DOI: https://dx.doi.org/10.4310/SII.2016.v9.n1.a7
Authors
Abstract
This paper presents an application of stochastic control theory to a bank portfolio choice problem. By applying a dynamic programming principle, we find a closed form solution for the CRRA utility function. A case study is given to illustrate our results and analyze the effect of the parameters on the optimal asset allocation strategy.
Keywords
bank portfolio, stochastic optimal control, dynamic programming principle, CRRA utility
Published 22 October 2015