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Monetary Policy Communication Shocks and the Macroeconomy

Author

Listed:
  • Goodhead, Robert

    (Central Bank of Ireland)

  • Kolb, Benedikt

    (Deutsche Bundesbank)

Abstract

Using federal funds futures data, we show the importance of suprise communication as a component of monetary policy for U.S. macro variables, both before and after 2008. We distinguish between monetary policy action and "communication shocks" (suprise announcements about future policy moves) by decomposing futures price movements across contract maturities. Our results indicate that it is mainly communication shocks- as opposed to actual rate-change suprises- that affect production in the ways traditionally associated with monetary policy shocks between 1994 and 2008. Covering the zero-lower bound period using Eurodollar futures, we find strong effects of long-horizon communication on inflation.

Suggested Citation

  • Goodhead, Robert & Kolb, Benedikt, 2018. "Monetary Policy Communication Shocks and the Macroeconomy," Research Technical Papers 15/RT/18, Central Bank of Ireland.
    • Handle: RePEc:cbi:wpaper:15/rt/18
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    References listed on IDEAS

    as
    1. Christina D. Romer & David H. Romer, 2004. "A New Measure of Monetary Shocks: Derivation and Implications," American Economic Review, American Economic Association, vol. 94(4), pages 1055-1084, September.
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    3. Michael W. McCracken & Serena Ng, 2016. "FRED-MD: A Monthly Database for Macroeconomic Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 574-589, October.
    4. Forni, Mario & Gambetti, Luca, 2014. "Sufficient information in structural VARs," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 124-136.
    5. Gelper, Sarah & Croux, Christophe, 2007. "Multivariate out-of-sample tests for Granger causality," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3319-3329, April.
    6. Thapar, Aditi, 2008. "Using private forecasts to estimate the effects of monetary policy," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 806-824, May.
    7. 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.
    8. Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
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    Cited by:

    1. Parle, Conor, 2022. "The financial market impact of ECB monetary policy press conferences — A text based approach," European Journal of Political Economy, Elsevier, vol. 74(C).
    2. Ricardo J. Caballero & Alp Simsek, 2022. "Monetary Policy with Opinionated Markets," American Economic Review, American Economic Association, vol. 112(7), pages 2353-2392, July.

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    More about this item

    Keywords

    Federal Funds Futures; FOMC; Monetary Policy; VAR Model;
    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
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • 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

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