IDEAS home Printed from https://ideas.repec.org/p/hit/hiasdp/hias-e-126.html
   My bibliography  Save this paper

Central Bank Information Effects in Japan : The Role of Uncertainty Channel

Author

Listed:
  • Matsumoto, Ryo
  • Morita, Hiroshi
  • Ono, Taiki

Abstract

Central bank information effect have been analyzed in the recent literature on monetary policy. In this study, we apply the identification method by Jarocinski and Karadi (2020) to the Japanese data to empirically examine the macroeconomic effects of central bank information shock and pure monetary policy shock. These shocks are identified by combining of high-frequency identification and sign restriction. The empirical results support the presence of central bank information effects in Japan. Particularly, the central bank information shock accompanying monetary tightening decreases economic uncertainty and increases stock prices and output, suggesting that central bank’s optimistic outlook is conveyed through contractionary monetary actions. The results of the forecast error variance decomposition indicate that the central bank’s information effect may be spread through changes in uncertainty. Finally, the total effect of monetary policy and information shocks on the variables are much larger than that of the shocks identified by the conventional Cholesky decomposition. These findings are important for evaluating the true effects of monetary actions on the economy.

Suggested Citation

  • Matsumoto, Ryo & Morita, Hiroshi & Ono, Taiki, 2022. "Central Bank Information Effects in Japan : The Role of Uncertainty Channel," Discussion paper series HIAS-E-126, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
  • Handle: RePEc:hit:hiasdp:hias-e-126
    Note: November 28, 2022
    as

    Download full text from publisher

    File URL: https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/78377/070_hiasDP-E-126.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. Silvia Miranda-Agrippino & Giovanni Ricco, 2021. "The Transmission of Monetary Policy Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(3), pages 74-107, July.
    3. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    4. De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 112(C).
    5. Pellegrino, Giovanni, 2018. "Uncertainty and the real effects of monetary policy shocks in the Euro area," Economics Letters, Elsevier, vol. 162(C), pages 177-181.
    6. Fumitaka Nakamura & Nao Sudo & Yu Sugisaki, 2021. "A Quest for Monetary Policy Shocks in Japan by High Frequency Identification," IMES Discussion Paper Series 21-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
    7. Michael D Bauer & Aeimit Lakdawala & Philippe Mueller, 2022. "Market-Based Monetary Policy Uncertainty," The Economic Journal, Royal Economic Society, vol. 132(644), pages 1290-1308.
    8. Castelnuovo, Efrem & Pellegrino, Giovanni, 2018. "Uncertainty-dependent effects of monetary policy shocks: A new-Keynesian interpretation," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 277-296.
    9. 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.
    10. 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.
    11. Leonardo Melosi, 2017. "Signalling Effects of Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 853-884.
    12. Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Dynamic effects of monetary policy shocks on macroeconomic volatility," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 262-282.
    13. De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Reprint: Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 114(C).
    14. 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.
    15. 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.
    16. Nagao, Ryoya & Kondo, Yoshihiro & Nakazono, Yoshiyuki, 2021. "The macroeconomic effects of monetary policy: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    17. Masahiko Shibamoto, 2007. "An Analysis Of Monetary Policy Shocks In Japan: A Factor Augmented Vector Autoregressive Approach," The Japanese Economic Review, Japanese Economic Association, vol. 58(4), pages 484-503, December.
    18. Hiroyuki Kubota & Mototsugu Shintani, 2022. "High-frequency identification of monetary policy shocks in Japan," The Japanese Economic Review, Springer, vol. 73(3), pages 483-513, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lakdawala, Aeimit & Schaffer, Matthew, 2019. "Federal reserve private information and the stock market," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 34-49.
    2. Cesa-Bianchi, Ambrogio & Thwaites, Gregory & Vicondoa, Alejandro, 2020. "Monetary policy transmission in the United Kingdom: A high frequency identification approach," European Economic Review, Elsevier, vol. 123(C).
    3. Pascal Paul, 2020. "The Time-Varying Effect of Monetary Policy on Asset Prices," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 690-704, October.
    4. Maximilian Ahrens & Deniz Erdemlioglu & Michael McMahon & Christopher J. Neely & Xiye Yang, 2023. "Mind Your Language: Market Responses to Central Bank Speeches," Working Papers 2023-013, Federal Reserve Bank of St. Louis, revised 28 Sep 2024.
    5. Melosi, Leonardo & Morita, Hiroshi & Rogantini Picco, Anna & Zanetti, Francesco, 2024. "The Signaling Effects of Fiscal Announcements," The Warwick Economics Research Paper Series (TWERPS) 1512, University of Warwick, Department of Economics.
    6. Andrade, Philippe & Ferroni, Filippo, 2021. "Delphic and odyssean monetary policy shocks: Evidence from the euro area," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 816-832.
    7. Jarociński, Marek, 2022. "Central bank information effects and transatlantic spillovers," Journal of International Economics, Elsevier, vol. 139(C).
    8. Jung, Alexander & Uhlig, Harald, 2019. "Monetary policy shocks and the health of banks," Working Paper Series 2303, European Central Bank.
    9. Miranda-Agrippino, Silvia & Nenova, Tsvetelina, 2022. "A tale of two global monetary policies," Journal of International Economics, Elsevier, vol. 136(C).
    10. D’Amico, Stefania & King, Thomas B., 2023. "What does anticipated monetary policy do?," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 123-139.
    11. Guo, Haifeng & Hung, Chi-Hsiou D. & Kontonikas, Alexandros, 2022. "The Fed and the stock market: A tale of sentiment states," Journal of International Money and Finance, Elsevier, vol. 128(C).
    12. Hartwig, Benny & Lieberknecht, Philipp, 2020. "Monetary policy, firm exit and productivity," Discussion Papers 61/2020, Deutsche Bundesbank.
    13. Cieslak, Anna & Pang, Hao, 2021. "Common shocks in stocks and bonds," Journal of Financial Economics, Elsevier, vol. 142(2), pages 880-904.
    14. Mody, Ashoka & Nedeljkovic, Milan, 2024. "Central bank policies and financial markets: Lessons from the euro crisis," Journal of Banking & Finance, Elsevier, vol. 158(C).
    15. McNeil, James, 2023. "Monetary policy and the term structure of inflation expectations with information frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    16. Benchimol, Jonathan & Saadon, Yossi & Segev, Nimrod, 2023. "Stock market reactions to monetary policy surprises under uncertainty," International Review of Financial Analysis, Elsevier, vol. 89(C).
    17. Leonardo Melosi & Hiroshi Morita & Anna Rogantini Picco & Francesco Zanetti, 2024. "The Signaling Effects of Fiscal Announcements," Economics Series Working Papers 1053, University of Oxford, Department of Economics.
    18. Marco Pinchetti & Andrzej Szczepaniak, 2024. "Global Spillovers of the Fed Information Effect," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(2), pages 773-819, June.
    19. Yang, Yang & Zhang, Jiqiang & Chen, Sanpan, 2023. "Information effects of monetary policy announcements on oil price," Journal of Commodity Markets, Elsevier, vol. 30(C).
    20. 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.

    More about this item

    Keywords

    Monetary policy; Information effect; High-frequency data; VAR model;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hit:hiasdp:hias-e-126. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Digital Resources Section, Hitotsubashi University Library (email available below). General contact details of provider: https://edirc.repec.org/data/ashitjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.