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Forecasting in turbulent times

Author

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  • Nikolaos Giannellis
  • Stephen G. Hall
  • Georgios P. Kouretas
  • George S. Tavlas

Abstract

Since the beginning of this century, the global economy has been hit by a series of unforeseen shocks, including the Global Financial Crisis, the euro area's sovereign debt crisis, and most recently, the global inflation surge. To motivate this special issue, we provide a brief overview of recent methods that have been proposed to improve the ability of forecast models to predict shocks and to capture their effects once they have occurred. We also propose a method that may allow central banks to respond more quickly to the kind of inflationary surge that occurred from 2020 to 2022 so that those banks would not have misdiagnosed the surge as a temporary phenomenon.

Suggested Citation

  • Nikolaos Giannellis & Stephen G. Hall & Georgios P. Kouretas & George S. Tavlas, 2024. "Forecasting in turbulent times," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 819-826, July.
  • Handle: RePEc:wly:jforec:v:43:y:2024:i:4:p:819-826
    DOI: 10.1002/for.3062
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    References listed on IDEAS

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    1. Lars Peter Hansen & Thomas J Sargent, 2014. "Beliefs, Doubts and Learning: Valuing Macroeconomic Risk," World Scientific Book Chapters, in: UNCERTAINTY WITHIN ECONOMIC MODELS, chapter 10, pages 331-377, World Scientific Publishing Co. Pte. Ltd..
    2. Inoue, Atsushi & Jin, Lu & Rossi, Barbara, 2017. "Rolling window selection for out-of-sample forecasting with time-varying parameters," Journal of Econometrics, Elsevier, vol. 196(1), pages 55-67.
    3. Lars Peter Hansen & Thomas J Sargent, 2014. "Fragile Beliefs and the Price of Uncertainty," World Scientific Book Chapters, in: UNCERTAINTY WITHIN ECONOMIC MODELS, chapter 9, pages 293-330, World Scientific Publishing Co. Pte. Ltd..
    4. Carola Conces Binder & Rodrigo Sekkel, 2024. "Central bank forecasting: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 342-364, April.
    5. Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014. "Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
    6. Carlos A. Medel & Michael Pedersen & Pablo M. Pincheira, 2016. "The Elusive Predictive Ability of Global Inflation," International Finance, Wiley Blackwell, vol. 19(2), pages 120-146, June.
    7. Lars Peter Hansen, 2007. "Beliefs, Doubts and Learning: Valuing Economic Risk," NBER Working Papers 12948, National Bureau of Economic Research, Inc.
    8. Lars Peter Hansen, 2014. "Nobel Lecture: Uncertainty Outside and Inside Economic Models," Journal of Political Economy, University of Chicago Press, vol. 122(5), pages 945-987.
    9. Pesaran, M. Hashem & Timmermann, Allan, 2007. "Selection of estimation window in the presence of breaks," Journal of Econometrics, Elsevier, vol. 137(1), pages 134-161, March.
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    Cited by:

    1. Gloria González‐Rivera & C. Vladimir Rodríguez‐Caballero & Esther Ruiz, 2024. "Expecting the unexpected: Stressed scenarios for economic growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 926-942, August.

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