Mean-variance portfolio selection with dynamic attention behavior in a hidden Markov model
Optimization and Control
2022-05-19 v1 Portfolio Management
Abstract
In this paper, we study closed-loop equilibrium strategies for mean-variance portfolio selection problem in a hidden Markov model with dynamic attention behavior. In addition to the investment strategy, the investor's attention to news is introduced as a control of the accuracy of the news signal process. The objective is to find equilibrium strategies by numerically solving an extended HJB equation by using Markov chain approximation method. An iterative algorithm is constructed and its convergence is established. Numerical examples are also provided to illustrate the results.
Keywords
Cite
@article{arxiv.2205.08743,
title = {Mean-variance portfolio selection with dynamic attention behavior in a hidden Markov model},
author = {Y. Zhang and Z. Jin and J. Wei and G. Yin},
journal= {arXiv preprint arXiv:2205.08743},
year = {2022}
}
Comments
15 pages, 4 figures