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The financial market impact of ECB monetary policy press conferences - a text based approach

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  • Parle, Conor

    (Central Bank of Ireland)

Abstract

Using methods from natural language processing I create two measures of the monetary policy tilt of the ECB entitled the “Hawk-Dove Indices”, that outline the beliefs of the ECB on the current state of the economy and the outlook for growth and inflation. These measures closely track interest rate expectations over the tightening and loosening cycle, and can provide a useful measure of monetary policy tilt at zero lower bound episodes and contains information about the state of the economy. I exploit the time lag between decision announcements and the ECB’s monetary policy press conference to assess the immediate financial market impact of changes in communication within the press conference, free from the effects of the shock from the monetary policy decision. Consistent with the literature on the information channel of monetary policy, I find a non-negligible positive (negative) effect on stock prices of a more hawkish (dovish) tone in the press conference, indicating that the ECB reveals “private information” during these press conferences, and that market participants internalise this as good (bad) news regarding the future state of the economy, rather than internalising a future potential increase (decrease) in interest rates. This effect is stronger prior to the introduction of formal forward guidance, suggesting that since then ECB communication has been less surprising to markets in recent times.

Suggested Citation

  • Parle, Conor, 2021. "The financial market impact of ECB monetary policy press conferences - a text based approach," Research Technical Papers 4/RT/21, Central Bank of Ireland.
  • Handle: RePEc:cbi:wpaper:4/rt/21
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    1. Cieslak, Anna & Schrimpf, Andreas, 2019. "Non-monetary news in central bank communication," Journal of International Economics, Elsevier, vol. 118(C), pages 293-315.
    2. Benjamin Born & Michael Ehrmann & Marcel Fratzscher, 2014. "Central Bank Communication on Financial Stability," Economic Journal, Royal Economic Society, vol. 124(577), pages 701-734, June.
    3. Altavilla, Carlo & Brugnolini, Luca & Gürkaynak, Refet S. & Motto, Roberto & Ragusa, Giuseppe, 2019. "Measuring euro area monetary policy," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 162-179.
    4. Stephen Hansen & Michael McMahon, 2016. "Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication," NBER Chapters, in: NBER International Seminar on Macroeconomics 2015, National Bureau of Economic Research, Inc.
    5. Istrefi, Klodiana & Odendahl, Florens & Sestieri, Giulia, 2023. "Fed communication on financial stability concerns and monetary policy decisions: Revelations from speeches," Journal of Banking & Finance, Elsevier, vol. 151(C).
    6. Picault, Matthieu & Renault, Thomas, 2017. "Words are not all created equal: A new measure of ECB communication," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 136-156.
    7. Yuriy Gorodnichenko & Tho Pham & Oleksandr Talavera, 2023. "The Voice of Monetary Policy," American Economic Review, American Economic Association, vol. 113(2), pages 548-584, February.
    8. Stephen Hansen & Michael McMahon & Andrea Prat, 2018. "Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 801-870.
    9. Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2023. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 355-387, July.
    10. Stefano Nardelli & David Martens & Ellen Tobback, 2017. "Between hawks and doves: measuring Central Bank Communication," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Big Data, volume 44, Bank for International Settlements.
    11. Hayo, Bernd & Henseler, Kai & Steffen Rapp, Marc & Zahner, Johannes, 2022. "Complexity of ECB communication and financial market trading," Journal of International Money and Finance, Elsevier, vol. 128(C).
    12. Hayo, Bernd & Neuenkirch, Matthias, 2015. "Self-monitoring or reliance on media reporting: How do financial market participants process central bank news?," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 27-37.
    13. Tobback, Ellen & Nardelli, Stefano & Martens, David, 2017. "Between hawks and doves: measuring central bank communication," Working Paper Series 2085, European Central Bank.
    14. Rosa, Carlo & Verga, Giovanni, 2007. "On the consistency and effectiveness of central bank communication: Evidence from the ECB," European Journal of Political Economy, Elsevier, vol. 23(1), pages 146-175, March.
    15. Hansen, Stephen & McMahon, Michael & Tong, Matthew, 2019. "The long-run information effect of central bank communication," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 185-202.
    16. Paul Whelan & Gyuri Venter & Andrea Vedolin & Matteo Leombroni, 2017. "Central Bank Communication and the Yield Curve," 2017 Meeting Papers 844, Society for Economic Dynamics.
    17. Michael Ehrmann & Marcel Fratzscher, 2009. "Explaining Monetary Policy in Press Conferences," International Journal of Central Banking, International Journal of Central Banking, vol. 5(2), pages 42-84, June.
    18. Refet S Gürkaynak & Brian Sack & Eric Swanson, 2005. "Do Actions Speak Louder Than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    19. Michael Ehrmann & Marcel Fratzscher, 2007. "Communication by Central Bank Committee Members: Different Strategies, Same Effectiveness?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 509-541, March.
    20. Hamza Bennani & Matthias Neuenkirch, 2017. "The (home) bias of European central bankers: new evidence based on speeches," Applied Economics, Taylor & Francis Journals, vol. 49(11), pages 1114-1131, March.
    21. Marek Jarociński & Peter Karadi, 2020. "Deconstructing Monetary Policy Surprises—The Role of Information Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 1-43, April.
    22. Yusuke Oshima & Yoichi Matsubayashi, 2018. "Monetary Policy Communication of the Bank of Japan: Computational Text Analysis," Discussion Papers 1816, Graduate School of Economics, Kobe University.
    23. Emi Nakamura & Jón Steinsson, 2018. "High-Frequency Identification of Monetary Non-Neutrality: The Information Effect," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1283-1330.
    24. Kerssenfischer, Mark, 2019. "Information Effects of Euro Area Monetary Policy: New evidence from high-frequency futures data," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203524, Verein für Socialpolitik / German Economic Association.
    25. Goodhead, Robert & Kolb, Benedikt, 2018. "Monetary policy communication shocks and the macroeconomy," Discussion Papers 46/2018, Deutsche Bundesbank.
    26. Matthieu Picault & Thomas Renault, 2017. "Words are not all created equal: A new measure of ECB communication," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03205121, HAL.
    27. David O. Lucca & Francesco Trebbi, 2009. "Measuring Central Bank Communication: An Automated Approach with Application to FOMC Statements," NBER Working Papers 15367, National Bureau of Economic Research, Inc.
    28. Sandra A. Cannon, 2015. "Sentiment of the FOMC: Unscripted," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 5-31.
    29. Hamza Bennani & Matthias Neuenkirch, 2017. "The (home) bias of European central bankers: new evidence based on speeches," Applied Economics, Taylor & Francis Journals, vol. 49(11), pages 1114-1131, March.
    30. 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.
    31. Jegadeesh, Narasimhan & Wu, Di, 2013. "Word power: A new approach for content analysis," Journal of Financial Economics, Elsevier, vol. 110(3), pages 712-729.
    32. Hubert, Paul & Labondance, Fabien, 2021. "The signaling effects of central bank tone," European Economic Review, Elsevier, vol. 133(C).
    33. Goodhead, Robert & Kolb, Benedikt, 2018. "Monetary Policy Communication Shocks and the Macroeconomy," Research Technical Papers 15/RT/18, Central Bank of Ireland.
    34. Mikael Apel & Marianna Blix Grimaldi & Isaiah Hull, 2022. "How Much Information Do Monetary Policy Committees Disclose? Evidence from the FOMC's Minutes and Transcripts," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1459-1490, August.
    35. Joaquin Iglesias & Alvaro Ortiz & Tomasa Rodrigo, 2017. "How do the EM Central Bank talk? A Big Data approach to the Central Bank of Turkey," Working Papers 17/24, BBVA Bank, Economic Research Department.
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    Cited by:

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    2. Maran, Raluca, 2022. "Reaction of the Philippine stock market to domestic monetary policy surprises: an event study approach," MPRA Paper 114855, University Library of Munich, Germany.
    3. Sinem Kandemir & Peter Tillmann, 2023. "Not all ECB meetings are created equal," MAGKS Papers on Economics 202312, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    4. Ferrara, Federico Maria & Angino, Siria, 2022. "Does clarity make central banks more engaging? Lessons from ECB communications," European Journal of Political Economy, Elsevier, vol. 74(C).

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    More about this item

    Keywords

    Monetary policy; communication; machine learning; natural language processing; event study; information effects;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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