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Modelling the dynamics of unconventional monetary policies’ impact on professionals’ forecasts

Author

Listed:
  • Dimitris Kenourgios

    (NKUA - National and Kapodistrian University of Athens)

  • Stephanos Papadamou

    (University of Thessaly [Lamia])

  • Dimitrios Dimitriou

    (NKUA - National and Kapodistrian University of Athens)

  • Constantin Zopounidis

    (TUC - Technical University of Crete [Chania], Audencia Business School)

Abstract

This study quantifies the effects of the Fed’s quantitative easing (QE) and tapering programs’ announcements on professionals’ consensus forecasts of U.S. macroeconomic and financial variables at different forecast horizons. The results of a vector autoregression (VAR) analysis show that the first QE (QE1) program is more effective in terms of significantly affecting the variability of near and medium term forecasts on GDP, inflation and short-term interest rates. This is not the case for these variables of long forecast horizons across all QE/tapering announcements, the forecasts of U.S. currency and long-term rates present significant short-lived responses, while the tapering displays a dominant effect on the volatility of long-term rates across long-term forecast horizons. A dynamic correlation analysis among different horizon forecasts also reveals that the Fed successfully anchor inflation and real economic growth expectations during the expansionary policy (QE) periods. Additional findings show the anchoring of the expectations across different horizons on short-term rates, as opposed to long-term rates, during the QE1 program. During the contractionary (tapering) period, the decrease in the correlations among different horizons for the short-term rates’ forecasts is a sign that the Fed increases the range of possible outcomes and highlights a signal of a monetary policy change.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Dimitris Kenourgios & Stephanos Papadamou & Dimitrios Dimitriou & Constantin Zopounidis, 2020. "Modelling the dynamics of unconventional monetary policies’ impact on professionals’ forecasts," Post-Print hal-02880071, HAL.
  • Handle: RePEc:hal:journl:hal-02880071
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    Cited by:

    1. Anh Nguyet Vu, 2025. "The impact of conventional and unconventional monetary policies on loan default risk—Evidence from UK peer‐to‐peer lending platforms," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 242-260, January.
    2. Sophie Brana & Quentin Bro de Comères & Anne-Gaël Vaubourg, 2025. "How Do Analyst Recommendations on Banks Respond to Monetary Policy News? An Application to the Eurozone," Post-Print hal-04986898, HAL.
    3. Demetrio Lacava & Giampiero M. Gallo & Edoardo Otranto, 2022. "Unconventional policies effects on stock market volatility: The MAP approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1245-1265, November.
    4. Eiji Ogawa & Pengfei Luo, 2024. "Macroeconomic effects of global policy and financial risks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 177-205, January.
    5. Wan Wei & Susan Pozo & Evan Lau, 2021. "The effects of conventional and unconventional monetary policy on exchange rate volatility," Cogent Economics & Finance, Taylor & Francis Journals, vol. 9(1), pages 1997425-199, January.

    More about this item

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G01 - Financial Economics - - General - - - Financial Crises

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