Distributionally Robust Profit Opportunities
Portfolio Management
2020-06-23 v1
Abstract
This paper expands the notion of robust profit opportunities in financial markets to incorporate distributional uncertainty using Wasserstein distance as the ambiguity measure. Financial markets with risky and risk-free assets are considered. The infinite dimensional primal problems are formulated, leading to their simpler finite dimensional dual problems. A principal motivating question is how does distributional uncertainty help or hurt the robustness of the profit opportunity. Towards answering this question, some theory is developed and computational experiments are conducted. Finally some open questions and suggestions for future research are discussed.
Keywords
Cite
@article{arxiv.2006.11279,
title = {Distributionally Robust Profit Opportunities},
author = {Derek Singh and Shuzhong Zhang},
journal= {arXiv preprint arXiv:2006.11279},
year = {2020}
}
Comments
arXiv admin note: text overlap with arXiv:2004.09432