---
title: Predicting Corporate Credit Ratings with ML
url: https://www.ml-quant.com/papers/repec/eee-finlet-v-58-y-2023-i-pd-s1544612323010206/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eee:finlet:v:58:y:2023:i:pd:s1544612323010206
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1544612323010206%3Bh%3Drepec%3Aeee%3Afinlet%3Av%3A58%3Ay%3A2023%3Ai%3Apd%3As1544612323010206
featured: 2023-12-20
citations: unknown
topic: Risk, Credit & Banking
---


# Predicting Corporate Credit Ratings with ML

The research recommends restricted CART models for predicting corporate credit ratings using machine learning techniques, emphasizing the role of company size in credit rating prediction.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1544612323010206%3Bh%3Drepec%3Aeee%3Afinlet%3Av%3A58%3Ay%3A2023%3Ai%3Apd%3As1544612323010206
- Identifier: RePEc:eee:finlet:v:58:y:2023:i:pd:s1544612323010206
- Released: 2023-12-20
- First featured: Quant Letter No. 30 (2023-12-20): https://www.ml-quant.com/issues/2023-12-20/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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