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Large Language Models and Information Frictions in Corporate Bonds

Shows that large-language-model scores of default risk from earnings calls predict bond rating migration one year ahead where analysts disagreed, capturing information not yet priced in spreads.

Featured in No. 134 on 9 Oct 2026 · 2 days after release

Released
7 Oct 2026
First featured
No. 134 · 9 Oct 2026
Published in
Not yet, as far as Semantic Scholar knows
Fanfare
2 of 5
Identifier
SSRN 7577906
Authors
Moazzam Khoja

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

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