smq/directoryAn evolving quant resource archive
Paper / 2026SMQ / 4046165327205
Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market
fixed income / large language modelsResource overview

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market

Paper2026

by Jing Chen, John Cartlidge, Mingxuan Yi, Vidal Mehra

Tags
fixed incomelarge language modelsmachine learningnatural language processingtime series

Continue on SelfMadeQuant

Understand this paper

Suggested foundations for text and language models in finance and financial time series. Specialist prerequisites vary by paper.

Before you read

Go further

Explore a related reading path

Keep exploring