---
title: Bias in Credit Ratings
url: https://www.ml-quant.com/papers/ssrn/4478090/
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 4478090
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4478090
featured: 2025-12-28
citations: unknown
topic: Risk, Credit & Banking
---


# Bias in Credit Ratings

Subscription-based credit rating agencies may have biases that lead to overly optimistic ratings, complicating conflict resolution.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4478090
- Identifier: SSRN 4478090
- Released: 2023-05-01
- First featured: Quant Letter No. 124 (2025-12-28): https://www.ml-quant.com/issues/2025-12-28/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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