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Mind Your Language: Market Responses to Central Bank Speeches

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  • Ahrens, Maximilian
  • Erdemlioglu, Deniz
  • Mcmahon, Michael
  • Neely, Christopher J
  • Yang, Xiye
Abstract
Researchers have carefully studied post-meeting central bank communication and have found that it often moves markets, but they have paid less attention to the more frequent central bankers’ speeches. We create a novel dataset of US Federal Reserve speeches and use supervised multimodal natural language processing methods to identify how monetary policy news affect financial volatility and tail risk through implied changes in forecasts of GDP, inflation, and unemployment. We find that news in central bankers’ speeches can help explain volatility and tail risk in both equity and bond markets. We also find that markets attend to these signals more closely during abnormal GDP and inflation regimes. Our results challenge the conventional view that central bank communication primarily resolves uncertainty.

Suggested Citation

  • Ahrens, Maximilian & Erdemlioglu, Deniz & Mcmahon, Michael & Neely, Christopher J & Yang, Xiye, 2023. "Mind Your Language: Market Responses to Central Bank Speeches," CEPR Discussion Papers 18191, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:18191
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    Cited by:

    1. Ehrmann, Michael & Gnan, Phillipp & Rieder, Kilian, 2023. "Central Bank Communication by ??? The Economics of Public Policy Leaks," CEPR Discussion Papers 18152, C.E.P.R. Discussion Papers.
    2. Jean-Charles Bricongne & Baptiste Meunier & Raquel Caldeira, 2024. "Should Central Banks Care About Text Mining? A Literature Review," Working papers 950, Banque de France.
    3. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2023. "An unconventional FX tail risk story," LSE Research Online Documents on Economics 120052, London School of Economics and Political Science, LSE Library.
    4. Carlos Cañon & Eddie Gerba & Alberto Pambira & Evarist Stoja, 2023. "An Unconventional FX Tail Risk Story," CESifo Working Paper Series 10629, CESifo.
    5. Cañon, Carlos & Gerba, Eddie & Pambira, Alberto & Stoja, Evarist, 2024. "An unconventional FX tail risk story," Bank of England working papers 1068, Bank of England.

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    More about this item

    Keywords

    Central bank communication; Multimodal Machine Learning; Natural language processing; Speech analysis; High frequency data; Volatility;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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