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Risk Management-Driven Policy Rate Gap

Author

Listed:
  • Giovanni Caggiano
  • Efrem Castelnuovo
  • Gabriela Nodari

Abstract

We employ real-time data available to the US monetary policy makers to estimate a Taylor rule augmented with a measure of financial uncertainty over the period 1969-2008. We find evidence in favor of a systematic response to financial uncertainty over and above that to expected inflation, output gap, and output growth. However, this evidence regards the Greenspan-Bernanke period only. Focusing on this period, the “risk-management” approach is found to be responsible for monetary policy easings for up to 75 basis points of the federal funds rate.

Suggested Citation

  • Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2018. "Risk Management-Driven Policy Rate Gap," CAMA Working Papers 2018-34, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2018-34
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    File URL: https://crawford.anu.edu.au/sites/default/files/2025-01/34_2018_caggiano_castelnuovo_nodari.pdf
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    Citations

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    Cited by:

    1. Efrem Castelnuovo, 2023. "Uncertainty before and during COVID‐19: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(3), pages 821-864, July.
    2. Martin Seneca, 2020. "Risk Shocks and Monetary Policy in the New Normal," International Journal of Central Banking, International Journal of Central Banking, vol. 16(6), pages 185-232, December.
    3. Caggiano, Giovanni & Castelnuovo, Efrem & Kima, Richard, 2020. "The global effects of Covid-19-induced uncertainty," Economics Letters, Elsevier, vol. 194(C).
    4. Efrem Castelnuovo & Guay Lim, 2019. "What Do We Know About the Macroeconomic Effects of Fiscal Policy? A Brief Survey of the Literature on Fiscal Multipliers," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 52(1), pages 78-93, March.
    5. Caggiano, Giovanni & Castelnuovo, Efrem & Delrio, Silvia & Kima, Richard, 2021. "Financial uncertainty and real activity: The good, the bad, and the ugly," European Economic Review, Elsevier, vol. 136(C).
    6. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2022. "Uncertainty and monetary policy in good and bad times: A replication of the vector autoregressive investigation by Bloom (2009)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 210-217, January.
    7. Thomas Gomez & Giulia Piccillo, 2023. "Does U.S. Monetary Policy Respond to Macroeconomic Uncertainty?," CESifo Working Paper Series 10407, CESifo.
    8. Long, Shaobo & Zuo, Yulan & Tian, Hao, 2023. "Asymmetries in multi-target monetary policy rule and the role of uncertainty: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 278-296.
    9. Poilly, Céline & Tripier, Fabien, 2025. "Regional trade policy uncertainty," Journal of International Economics, Elsevier, vol. 155(C).
    10. Rangan Gupta & Mark Wohar, 2019. "The role of monetary policy uncertainty in predicting equity market volatility of the United Kingdom: evidence from over 150 years of data," Economics and Business Letters, Oviedo University Press, vol. 8(3), pages 138-146.

    More about this item

    Keywords

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    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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