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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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    Citations

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    Cited by:

    1. Ricardo J. Caballero & Alp Simsek, 2022. "Monetary Policy with Opinionated Markets," American Economic Review, American Economic Association, vol. 112(7), pages 2353-2392, July.
    2. 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).

    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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