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SSRNRisk, Credit & Banking

Credit Risk Modeling

The article discusses the use of normalizing flows and invertible neural networks in credit risk modeling to enhance default time estimation and portfolio risk assessment.

Featured in No. 82 on 15 Jan 2025 · 4 days after release

Released
11 Jan 2025
First featured
No. 82 · 15 Jan 2025
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
28
Identifier
SSRN 5093887

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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