SSRNLLMs & Text
LLM-Based Semantic Surprises in FOMC Communication: Asset Prices and Financial-Market Stress
Semantic surprises extracted from Federal Reserve statements predict subsequent financial-stress dynamics and reduce forecast error by up to 23%, particularly when initial stress is high or during recessions.
Featured in No. 132 on 25 Sep 2026 · 1 day after release
- Released
- 24 Sep 2026
- First featured
- No. 132 · 25 Sep 2026
- Published in
- Not yet, as far as Semantic Scholar knows
- Fanfare
- 3 of 5
- Identifier
- SSRN 7519200
- Authors
- Fengtian Yang et al.
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).