Research paper / RESOURCE PROFILE

Sharp Large Deviations and Gibbs Conditioning for Threshold Models in

Publication: Sharp Large Deviations and Gibbs Conditioning for Threshold Models in Portfolio Credit Risk. Published Sep 23, 2025.

arxiv.orgPublished Sep 23, 2025
Visit source website ↗

Overview

Publication: Sharp Large Deviations and Gibbs Conditioning for Threshold Models in Portfolio Credit Risk. Published Sep 23, 2025.

Publication information

Publication title
Sharp Large Deviations and Gibbs Conditioning for Threshold Models in Portfolio Credit Risk
Authors
Fengnan Deng, Anand N. Vidyashankar, Jeffrey F. Collamore
Published
Sep 23, 2025
Last publication revision
Oct 17, 2025
Subject areas
math.PR, math.ST, q-fin.MF, q-fin.PM, q-fin.RM
Publication source
arxiv.org · abs/2509.19151v2 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2509.19151 ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

Explore related resources

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

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
96 Authority 96 / 100 Cited by 2 resources in this directory 2 discovery sources Directory record updated: 2026-10-11 How scoring works →

Sign In

Register

Reset Password

Please enter your username or email address, you will receive a link to create a new password via email.