---
title: The Financial Impact of Non-Financial Beliefs in Large Language Models
url: https://www.ml-quant.com/papers/ssrn/7679880/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-11-06
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 7679880
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7679880
featured: 2026-11-06
citations: unknown
topic: LLMs & Text
---


# The Financial Impact of Non-Financial Beliefs in Large Language Models

Following AI adoption, financial analysts revise high-ESG forecasts upward and become more bullish, but forecast accuracy deteriorates and errors rise for top-ESG firms.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7679880
- Identifier: SSRN 7679880
- Released: 2026-11-05
- First featured: Quant Letter No. 138 (2026-11-06): https://www.ml-quant.com/issues/2026-11-06/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: LLMs & Text
- Authors: Tong Li, Dragon Yongjun Tang, Luping Yu

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