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Strategic central bank communication: discourse and game-theoretic analyses of the Bank of Japan's Monthly Report

Author

Listed:
  • Kohei Kawamura
  • Yohei Kobashi
  • Masato Shizume
  • Kozo Ueda

Abstract

We conduct a discourse analysis of the Bank of Japan's Monthly Report and examine its characteristics in relation to business cycles. We find that the difference between the number of positive and negative expressions in the reports leads the leading index of the economy by approximately three months, which suggests that the central bank' reports have some superior information about the state of the economy. Moreover, ambiguous expressions tend to appear more frequently with negative expressions. Using a simple persuasion game, we argue that the use of ambiguity in communication by the central bank can be seen as strategic information revelation when the central bank has an incentive to bias the reports (and hence beliefs in the market) upwards.

Suggested Citation

  • 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.
    • Handle: RePEc:een:camaaa:2016-11
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    References listed on IDEAS

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    1. Scott Hendry, 2012. "Central Bank Communication or the Media’s Interpretation: What Moves Markets?," Staff Working Papers 12-9, Bank of Canada.
    2. Scott Hendry & Alison Madeley, 2010. "Text Mining and the Information Content of Bank of Canada Communications," Staff Working Papers 10-31, Bank of Canada.
    3. 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.
    4. Eijffinger, Sylvester C.W. & Geraats, Petra M., 2006. "How transparent are central banks?," European Journal of Political Economy, Elsevier, vol. 22(1), pages 1-21, March.
    5. Fujiwara, Ippei, 2005. "Is the central bank's publication of economic forecasts influential?," Economics Letters, Elsevier, vol. 89(3), pages 255-261, December.
    6. George Morgan & Karen Morgan & Alan Parker, 1990. "Analysis," Challenge, Taylor & Francis Journals, vol. 33(5), pages 55-57, September.
    7. Carl E. Walsh, 2010. "Monetary Theory and Policy, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262013770, April.
    8. Li, Feng, 2008. "Annual report readability, current earnings, and earnings persistence," Journal of Accounting and Economics, Elsevier, vol. 45(2-3), pages 221-247, August.
    9. Paul R. Milgrom, 1981. "Good News and Bad News: Representation Theorems and Applications," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 380-391, Autumn.
    10. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    11. Stein, Jeremy C, 1989. "Cheap Talk and the Fed: A Theory of Imprecise Policy Announcements," American Economic Review, American Economic Association, vol. 79(1), pages 32-42, March.
    12. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
    13. Apel, Mikael & Blix Grimaldi, Marianna, 2012. "The Information Content of Central Bank Minutes," Working Paper Series 261, Sveriges Riksbank (Central Bank of Sweden).
    14. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
    15. Jennifer Brown & Tanjim Hossain & John Morgan, 2010. "Shrouded Attributes and Information Suppression: Evidence from the Field," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 859-876.
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    Cited by:

    1. Giuseppe Bruno, 2017. "Central Bank Communications: information extraction and semantic analysis," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Big Data, volume 44, Bank for International Settlements.
    2. repec:spo:wpmain:info:hdl:2441/jpcu0knbl80rpibin9slrlrlb is not listed on IDEAS
    3. Donato Masciandaro & Davide Romelli, 2016. "From Silence to Voice: Monetary Policy, Central Bank Governance and Communication," BAFFI CAREFIN Working Papers 1627, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Donato Masciandaro & Davide Romelli & Gaia Rubera, 2021. "Monetary policy and financial markets: evidence from Twitter traffic," BAFFI CAREFIN Working Papers 21160, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Irving Fisher Committee, 2017. "Big Data," IFC Bulletins, Bank for International Settlements, number 44.
    6. Donato Masciandaro & Oana Peia & Davide Romelli, 2024. "Central bank communication and social media: From silence to Twitter," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 365-388, April.
    7. Donato Masciandaro & Davide Romelli & Gaia Rubera, 2021. "Monetary policy, Twitter and financial markets: evidence from social media traffic," BAFFI CAREFIN Working Papers 21160, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    8. repec:hal:spmain:info:hdl:2441/jpcu0knbl80rpibin9slrlrlb is not listed on IDEAS
    9. Mario Gonzalez & Raul Cruz Tadle, 2021. "Monetary Policy Press Releases: An International Comparison," Working Papers Central Bank of Chile 912, Central Bank of Chile.
    10. Eisl, Andreas, 2020. "The ambiguous consensus on fiscal rules: How ideational ambiguity has facilitated social democratic parties' support of structural deficit rules in the eurozone," MaxPo Discussion Paper Series 20/4, Max Planck Sciences Po Center on Coping with Instability in Market Societies (MaxPo).
    11. Andreas Eisl, 2020. "The Ambiguous Consensus on Fiscal Rules," Working Papers hal-03053976, HAL.
    12. Donato Masciandaro & Davide Romelli & Gaia Rubera, 2020. "Tweeting on Monetary Policy and Market Sentiments: The Central Bank Surprise Index," BAFFI CAREFIN Working Papers 20134, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.

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    More about this item

    Keywords

    Monetary policy; transparency; natural language processing; modality; latent Dirichlet allocation (LDA); verifiable disclosure model;
    All these keywords.

    JEL classification:

    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • 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

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