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SSRNRisk, Credit & Banking

Machine Learning-Based Variable Selection for Clustered Credit Risk Modeling

The piece proposes a machine learning-based method for selecting variables in clustered credit risk modeling, using the most influential risk drivers as clustering variables.

Featured in No. 7 on 12 Jul 2023 · 1 day after release · 5 citations today

Released
11 Jul 2023
First featured
No. 7 · 12 Jul 2023
Citations (Semantic Scholar)
5
Influential citations
0
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
3
Identifier
SSRN 4506537

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

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