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Predicting recessions, depth of recessions and monetary policy pivots: a new approach

Author

Listed:
  • Azhar Iqbal

    (Wells Fargo Corporate & Investment Banking)

  • Sam Bullard

    (Wells Fargo Corporate & Investment Banking)

  • Nicole Cervi

    (Wells Fargo Corporate & Investment Banking)

Abstract

We present a novel framework to predict recessions, the depth of recessions (mild or severe) and monetary policy pivots. The first phase introduces three ways to predict recessions. The first method evaluates the effectiveness of a few inverted U.S. Treasury yield curves. The second approach identifies a threshold between the federal funds rate and the 10-year Treasury yield. The final tool employs Probit modeling. The second phase of our analysis utilizes the 10-year/1-year Treasury yield spread to predict the duration of a recession. Historically, 12 consecutive months of a negative 10-year/1-year spread is associated with deeper recessions. When evaluating the tools using data going back to 1955, the 10-year/1-year spread has predicted all 10 recessions with an average lead time of 12 months. The 10-year/FFR threshold has predicted all recessions and monetary policy pivots with an average lead time of 18 months. At present, all three tools are signaling that a recession and/or Fed policy pivot is more likely than not within the next year. Through June 2023, the 10-year/1-year spread has remained negative for 12 consecutive months, which highlights the risk that an upcoming recession may not be mild. Given the historical accuracy of our framework, decision-makers may consider a possibility that the upcoming recession may be severe.

Suggested Citation

  • Azhar Iqbal & Sam Bullard & Nicole Cervi, 2023. "Predicting recessions, depth of recessions and monetary policy pivots: a new approach," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 58(4), pages 224-236, October.
  • Handle: RePEc:pal:buseco:v:58:y:2023:i:4:d:10.1057_s11369-023-00338-y
    DOI: 10.1057/s11369-023-00338-y
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    References listed on IDEAS

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    1. Hamilton, James D & Kim, Dong Heon, 2002. "A Reexamination of the Predictability of Economic Activity Using the Yield Spread," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 340-360, May.
    2. Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2003. "How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 629-644, August.
    3. Kajal Lahiri & Cheng Yang, 2022. "ROC approach to forecasting recessions using daily yield spreads," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 57(4), pages 191-203, October.
    4. Azhar Iqbal & Sam Bullard & John Silvia, 2019. "Are yield-curve/monetary cycles’ approaches enough to predict recessions?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 54(1), pages 61-68, January.
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    More about this item

    Keywords

    Business cycles; Duration of recessions; Monetary policy pivots;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

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