More than words: Fed Chairs’ communication during congressional testimonies

Michelle Alexopoulos, Xinfen Han, Oleksiy Kryvtsov and Xu Zhang

Journal of Monetary Economics, 2024, vol. 142, issue C

Abstract: We study soft information contained in congressional testimonies by the Federal Reserve Chairs and analyze its effects on financial markets. Using machine learning, we construct high-frequency measures of Fed Chair’s and Congress members’ emotions expressed via their words, voice and face. Increases in the Chair’s text-, voice-, or face-emotion indices during the testimony generally raise the S&P500 index and lower the VIX. Stock prices are particularly sensitive to the Fed Chair’s answers to questions directly related to monetary policy. The effects during the testimony add up and propagate after the testimony, reaching magnitudes comparable to those after a policy rate cut. Our findings resonate with the view in psychology that communication is much more than words and underscore the need for a holistic approach to central bank communication.

Keywords: Central bank communication; Financial market; High-frequency identification; Facial emotion recognition; Vocal signal processing; Textual analysis (search for similar items in EconPapers)
JEL-codes: E52 E58 E71 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:moneco:v:142:y:2024:i:c:s0304393223001022

DOI: 10.1016/j.jmoneco.2023.09.002

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