---
title: Quantum Credit Default Prediction
url: https://www.ml-quant.com/papers/ssrn/5273166/
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 5273166
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5273166
featured: 2025-05-30
citations: unknown
topic: Risk, Credit & Banking
---


# Quantum Credit Default Prediction

A new model combining quantum and classical machine learning has been proposed to improve the accuracy of credit default predictions in emerging markets.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5273166
- Identifier: SSRN 5273166
- Released: 2025-05-28
- First featured: Quant Letter No. 99 (2025-05-30): https://www.ml-quant.com/issues/2025-05-30/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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