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Central Bank Communication or the Media’s Interpretation: What Moves Markets?

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  • Scott Hendry

Abstract

The goal of this paper is to investigate what type of information from Bank of Canada communication statements or the market commentary based on these statements has a significant effect on the volatility or level of returns in a short-term interest rate market. Two different text mining methods are used to extract interpretable themes from the document set. Bank FAD press release themes emphasizing the balance of risks, effects on GDP, labour, investment, and the CPI, the terrorist attacks of 2001, and the economic effects of SARS, BSE, blackouts, and other shocks all tended to significantly reduce short-term BAX market volatility. In contrast, discussions of oil prices, the Canadian dollar, the inflation projection and whether the economy is at capacity, and certain forward looking statements significantly increased volatility. Market news stories often offset the effects of the Bank’s communication statements and were much more likely to increase market volatility while the Bank reduced it. Market stories were also more likely to have significant effects the greater the difference from the Bank news they covered but could still be important when largely replicating the original information.

Suggested Citation

  • Scott Hendry, 2012. "Central Bank Communication or the Media’s Interpretation: What Moves Markets?," Staff Working Papers 12-9, Bank of Canada.
  • Handle: RePEc:bca:bocawp:12-9
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    Cited by:

    1. Beaupain, Renaud & Girard, Alexandre, 2020. "The value of understanding central bank communication," Economic Modelling, Elsevier, vol. 85(C), pages 154-165.
    2. Ehrmann, Michael & Talmi, Jonathan, 2020. "Starting from a blank page? Semantic similarity in central bank communication and market volatility," Journal of Monetary Economics, Elsevier, vol. 111(C), pages 48-62.
    3. 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.
    4. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.
    5. Munday, Tim & Brookes, James, 2021. "Mark my words: the transmission of central bank communication to the general public via the print media," Bank of England working papers 944, Bank of England.
    6. Ancil Crayton, 2018. "Central Bank Communication and the Yield Curve: A Semi-Automatic Approach using Non-Negative Matrix Factorization," Papers 1809.08718, arXiv.org.
    7. Saskia Ter Ellen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "Narrative Monetary Policy Surprises and the Media," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1525-1549, August.
    8. Hamza Bennani, 2016. "Media Coverage and ECB Policy-Making: Evidence from a New Index," EconomiX Working Papers 2016-38, University of Paris Nanterre, EconomiX.
    9. Angelo M. Fasolo & Flávia M. Graminho & Saulo B. Bastos, 2021. "Seeing the Forest for the Trees: using hLDA models to evaluate communication in Banco Central do Brasil," Working Papers Series 555, Central Bank of Brazil, Research Department.
    10. Kohei Kawamura & Yohei Kobashi & Masato Shizume & Kozo Ueda, 2016. "Strategic central bank communication: discourse and game-theoretic analyses of the Bank of Japan's Monthly Report," CAMA Working Papers 2016-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. 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.
    12. Lüdering, Jochen & Tillmann, Peter, 2020. "Monetary policy on twitter and asset prices: Evidence from computational text analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    13. André Binette & Dmitri Tchebotarev, 2019. "Canada’s Monetary Policy Report: If Text Could Speak, What Would It Say?," Staff Analytical Notes 2019-5, Bank of Canada.
    14. Jochen Lüdering & Peter Tillmann, 2016. "Monetary Policy on Twitter and its Effect on Asset Prices: Evidence from Computational Text Analysis," MAGKS Papers on Economics 201612, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. 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.
    16. Kumar, Rahul & Deb, Soumya Guha & Mukherjee, Shubhadeep, 2020. "Do words reveal the latent truth? Identifying communication patterns of corporate losers," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    17. Kawamura, Kohei & Kobashi, Yohei & Shizume, Masato & Ueda, Kozo, 2019. "Strategic central bank communication: Discourse analysis of the Bank of Japan’s Monthly Report," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 230-250.
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    More about this item

    Keywords

    Financial markets; Asset pricing;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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