Two Stochastic Control Methods for Mean-Variance Portfolio Selection of Jump Diffusions and Their Relationship
Portfolio Management
2025-08-05 v1 Optimization and Control
Abstract
This paper is concerned with the maximum principle and dynamic programming principle for mean-variance portfolio selection of jump diffusions and their relationship. First, the optimal portfolio and efficient frontier of the problem are obtained using both methods. Furthermore, the relationship between these two methods is investigated. Specially, the connections between the adjoint processes and value function are given.
Keywords
Cite
@article{arxiv.2508.01138,
title = {Two Stochastic Control Methods for Mean-Variance Portfolio Selection of Jump Diffusions and Their Relationship},
author = {Qiyue Zhang and Jingtao Shi},
journal= {arXiv preprint arXiv:2508.01138},
year = {2025}
}
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13 pages