---
title: Machine Learning in Banking
url: https://www.ml-quant.com/papers/repec/kap-compec-v-64-y-2024-i-3-d-10-1007-s10614-023-10514-z/
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:kap:compec:v:64:y:2024:i:3:d:10.1007_s10614-023-10514-z
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10614-023-10514-z%3Bh%3Drepec%3Akap%3Acompec%3Av%3A64%3Ay%3A2024%3Ai%3A3%3Ad%3A10.1007_s10614-023-10514-z
featured: 2024-11-06
citations: unknown
topic: Risk, Credit & Banking
---


# Machine Learning in Banking

Machine learning was used to predict default risk in financial institutions, with bailout probability, market share, and market-to-book ratio being key variables.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10614-023-10514-z%3Bh%3Drepec%3Akap%3Acompec%3Av%3A64%3Ay%3A2024%3Ai%3A3%3Ad%3A10.1007_s10614-023-10514-z
- Identifier: RePEc:kap:compec:v:64:y:2024:i:3:d:10.1007_s10614-023-10514-z
- Released: 2024-11-06
- First featured: Quant Letter No. 73 (2024-11-06): https://www.ml-quant.com/issues/2024-11-06/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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