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Extremal Mean-Variance Functionals over Wasserstein Balls: Application

Publication: Extremal Mean-Variance Functionals over Wasserstein Balls: Applications to Risk Sharing. Published Sep 20, 2026.

arxiv.orgPublished Sep 20, 2026
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Overview

Publication: Extremal Mean-Variance Functionals over Wasserstein Balls: Applications to Risk Sharing. Published Sep 20, 2026.

Publication information

Publication title
Extremal Mean-Variance Functionals over Wasserstein Balls: Applications to Risk Sharing
Authors
Wenjun Jiang, Yiying Zhang, Zhenfeng Zou
Published
Sep 20, 2026
Last publication revision
Sep 20, 2026
Subject areas
q-fin.MF
Publication source
arxiv.org · abs/2609.23571v1 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2609.23571 ↗

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Screenshot unavailableResource information and source links remain available. DeepIntoStreams/TSFM_Finance — reviewed source website screenshot
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github.com

the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.

GitHub stars
31
Language
Jupyter Notebook
Code license
Apache-2.0
foundation-modeltime-seriesresearch-lab
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