---
title: Bond Defaults in China: Prediction using Machine Learning
url: https://www.ml-quant.com/papers/ssrn/5030065/
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 5030065
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5030065
featured: 2024-11-27
citations: 0
topic: Risk, Credit & Banking
---


# Bond Defaults in China: Prediction using Machine Learning

A machine learning model has been developed that can predict credit bond defaults in the Chinese market with over 90% accuracy, surpassing traditional methods.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5030065
- Identifier: SSRN 5030065
- Released: 2024-11-21
- First featured: Quant Letter No. 76 (2024-11-27): https://www.ml-quant.com/issues/2024-11-27/
- Citations (Semantic Scholar): 0
- Published in: not yet
- Topic: Risk, Credit & Banking

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