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Quantifying Credit Portfolio sensitivity to asset correlations with in

Publication: Quantifying Credit Portfolio sensitivity to asset correlations with interpretable generative neural networks. Published Sep 15, 2023.

arxiv.orgPublished Sep 15, 2023
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Overview

Publication: Quantifying Credit Portfolio sensitivity to asset correlations with interpretable generative neural networks. Published Sep 15, 2023.

Publication information

Publication title
Quantifying Credit Portfolio sensitivity to asset correlations with interpretable generative neural networks
Authors
Sergio Caprioli, Emanuele Cagliero, Riccardo Crupi
Published
Sep 15, 2023
Last publication revision
Nov 14, 2023
Subject areas
q-fin.RM, cs.CE, cs.LG
Publication source
arxiv.org · abs/2309.08652v2 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2309.08652 ↗

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

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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