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What is that noise? Analysing sentiment-based variation in central bank communication

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  • Hayo, Bernd
  • Zahner, Johannes

Abstract

To which degree can variation in sentiment-based indicators of central bank communication be attributed to changes in macroeconomic, financial, and monetary variables; idiosyncratic speaker effects; sentiment persistence; and random ‘noise’? Using the Loughran and McDonald (2011) dictionary on a text corpus containing more than 10,000 speeches and press statements, we construct sentiment-based indicators for the ECB and the Fed. An analysis of variance (ANOVA) shows that sentiment is strongly persistent and influenced by speaker-specific effects. With about 80% of the variation in sentiment being due to noise, our findings cast doubt on the reliability of conclusions based on variation in dictionary-based indicators.

Suggested Citation

  • Hayo, Bernd & Zahner, Johannes, 2023. "What is that noise? Analysing sentiment-based variation in central bank communication," Economics Letters, Elsevier, vol. 222(C).
  • Handle: RePEc:eee:ecolet:v:222:y:2023:i:c:s0165176522004360
    DOI: 10.1016/j.econlet.2022.110962
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    References listed on IDEAS

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    1. Alan Blinder & Michael Ehrmann & Jakob de Haan & David-Jan Jansen, 2022. "Central Bank Communication with the General Public: Promise or False Hope?," Working Papers 744, DNB.
    2. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    3. Tillmann, Peter & Walter, Andreas, 2019. "The effect of diverging communication: The case of the ECB and the Bundesbank," Economics Letters, Elsevier, vol. 176(C), pages 68-74.
    4. Baranowski, Paweł & Doryń, Wirginia & Łyziak, Tomasz & Stanisławska, Ewa, 2021. "Words and deeds in managing expectations: Empirical evidence from an inflation targeting economy," Economic Modelling, Elsevier, vol. 95(C), pages 49-67.
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    6. Baranowski, Pawel & Bennani, Hamza & Doryń, Wirginia, 2021. "Do the ECB's introductory statements help predict monetary policy? Evidence from a tone analysis," European Journal of Political Economy, Elsevier, vol. 66(C).
    7. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    8. Martin Baumgaertner & Johannes Zahner, 2021. "Whatever it takes to understand a central banker - Embedding their words using neural networks," MAGKS Papers on Economics 202130, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    9. Apel Mikael & Grimaldi Marianna Blix, 2014. "How Informative Are Central Bank Minutes?," Review of Economics, De Gruyter, vol. 65(1), pages 53-76, April.
    10. repec:pri:cepsud:161blinder is not listed on IDEAS
    11. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
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    Cited by:

    1. Ge Gao & Alex Nikolsko‐Rzhevskyy & Oleksandr Talavera, 2023. "Can central banks be heard over the sound of gunfire?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(S1), pages 183-203, December.

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    More about this item

    Keywords

    Sentiment analysis; Monetary policy; Central banks; Loughran and McDonald (2011) dictionary; Information content of sentiment indices;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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