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Continuous-Time Path-Dependent Exploratory Mean-Variance Portfolio Construction

Portfolio Management 2023-03-07 v1

Abstract

In this paper, we present an extended exploratory continuous-time mean-variance framework for portfolio management. Our strategy involves a new clustering method based on simulated annealing, which allows for more practical asset selection. Additionally, we consider past wealth evolution when constructing the mean-variance portfolio. We found that our strategy effectively learns from the past and performs well in practice.

Keywords

Cite

@article{arxiv.2303.02298,
  title  = {Continuous-Time Path-Dependent Exploratory Mean-Variance Portfolio Construction},
  author = {Zhou Fang},
  journal= {arXiv preprint arXiv:2303.02298},
  year   = {2023}
}

Comments

Any constructive comment is welcomed

R2 v1 2026-06-28T09:01:01.746Z