ML-QuantSubscribe

SSRNLLMs & Text

Large Language Models in Asset Pricing: A Literature Review

Surveys applications of large language models to return prediction, risk measurement, and investor beliefs from financial text, highlighting look-ahead bias and evaluation pitfalls in existing research.

Featured in No. 139 on 13 Nov 2026 · 3 days after release

Released
10 Nov 2026
First featured
No. 139 · 13 Nov 2026
Published in
Not yet, as far as Semantic Scholar knows
Fanfare
3 of 5
Identifier
SSRN 7683739
Authors
Mohammad Gheidi

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page