---
title: ML and IRB Capital Requirements: Advantages, Risks, and Recommendations
url: https://www.ml-quant.com/papers/ssrn/4654659/
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: SSRN 4654659
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4654659
featured: 2023-12-06
citations: unknown
topic: Risk, Credit & Banking
---


# ML and IRB Capital Requirements: Advantages, Risks, and Recommendations

Advantages, Risks, and Recommendations: The article explores the potential of machine learning in improving bank capital requirements and enhancing financial inclusion through better credit risk measurement.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4654659
- Identifier: SSRN 4654659
- Released: 2023-06-25
- First featured: Quant Letter No. 28 (2023-12-06): https://www.ml-quant.com/issues/2023-12-06/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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