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Deconstructing monetary policy surprises: the role of information shocks

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  • Jarociński, Marek
  • Karadi, Peter

Abstract

Central bank announcements simultaneously convey information about monetary policy and the central bank’s assessment of the economic outlook. This paper disentangles these two components and studies their effect on the economy using a structural vector autoregression. It relies on the information inherent in high-frequency comovement of interest rates and stock prices around policy announcements: a surprise policy tightening raises interest rates and reduces stock prices, while the complementary positive central bank information shock raises both. These two shocks have intuitive and very different effects on the economy. Ignoring the central bank information shocks biases the inference on monetary policy non-neutrality. We make this point formally and offer an interpretation of the central bank information shock using a New Keynesian macroeconomic model with financial frictions. JEL Classification: E32, E52, E58

Suggested Citation

  • Jarociński, Marek & Karadi, Peter, 2018. "Deconstructing monetary policy surprises: the role of information shocks," Working Paper Series 2133, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20182133
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    References listed on IDEAS

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    1. Ben S. Bernanke & Kenneth N. Kuttner, 2005. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, June.
    2. Karel Mertens & Morten O. Ravn, 2013. "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States," American Economic Review, American Economic Association, vol. 103(4), pages 1212-1247, June.
    3. Corsetti, Giancarlo & Duarte, Joao B. & Mann, Samuel, 2018. "One money, many markets: a factor model approach to monetary policy in the Euro Area with high-frequency identification," LSE Research Online Documents on Economics 87182, London School of Economics and Political Science, LSE Library.
    4. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    5. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    6. Robert B. Litterman, 1979. "Techniques of forecasting using vector autoregressions," Working Papers 115, Federal Reserve Bank of Minneapolis.
    7. Philippe Andrade & Filippo Ferroni, 2016. "Delphic and Odyssean monetary policy shocks: Evidence from the euro-area," School of Economics Discussion Papers 1216, School of Economics, University of Surrey.
    8. Giancarlo Corsetti & Joao B. Duarte & Samuel Mann, 2018. "One Money, Many Markets," Discussion Papers 1805, Centre for Macroeconomics (CFM).
    9. Lakdawala, Aeimit & Schaffer, Matthew, 2016. "Federal Reserve Private Information and the Stock Market," MPRA Paper 77608, University Library of Munich, Germany.
    10. Paul, Pascal, 2017. "The Time-Varying Effect of Monetary Policy on Asset Prices," Working Paper Series 2017-9, Federal Reserve Bank of San Francisco, revised 02 Jan 2018.
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    Cited by:

    1. Dedola, Luca & Georgiadis, Georgios & Grab, Johannes & Mehl, Arnaud, 2018. "Does a Big Bazooka Matter? Central Bank Balance-Sheet Policies and Exchange Rates," Globalization Institute Working Papers 350, Federal Reserve Bank of Dallas.
    2. Giancarlo Corsetti & Joao B. Duarte & Samuel Mann, 2018. "One Money, Many Markets," Discussion Papers 1805, Centre for Macroeconomics (CFM).
    3. Corsetti, G. & Duarte, J. B. & Mann, S., 2018. "One Money, Many Markets - A Factor Model Approach to Monetary Policy in the Euro Area with High-Frequency Identification," Cambridge Working Papers in Economics 1816, Faculty of Economics, University of Cambridge.
    4. Oinonen, Sami & Paloviita, Maritta & Viren, Matti, 2018. "Effects of monetary policy decisions on professional forecasters’ expectations and expectations uncertainty," Research Discussion Papers 24/2018, Bank of Finland.

    More about this item

    Keywords

    central bank private information; high-frequency identification; monetary policy shock; structural VAR;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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

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