AI RESEARCH
Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models
arXiv CS.CL
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ArXi:2603.14313v1 Announce Type: new Federal Open Market Committee (FOMC) statements are a major source of monetary-policy information, and even subtle changes in their wording can move global financial markets. A central task is therefore to measure the hawkish--dovish stance conveyed in these texts. Existing approaches typically treat stance detection as a standard classification problem, labeling each statement in isolation.