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Monetary Policy and Bubbles in G7 Economies: Evidence from a Panel VAR Approach

Author

Listed:
  • Petre Caraiani

    (Institute for Economic Forecasting, Romanian Academy, Romania)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • Jacobus Nel

    (Department of Statistics, University of Florida, 230 Newell Drive, Gainesville, FL, 32601, USA)

  • Joshua Nielsen

    (Boulder Investment Technologies, LLC, 1942 Broadway Suite 314C, Boulder, CO, 80302, USA)

Abstract

We use the LPPLS Multi-Scale Confidence Indicator approach to detect both positive and negative bubbles at short-, medium- and long-run for the stock markets of the G7 countries. We were able to detect major crashes and rallies in the seven stock markets over the monthly period of 1973:02 to 2020:09. We also observed similar timing of strong (positive and negative) LPPLS indicator values across the G7 countries, suggesting synchronized extreme movements in these stock markets. Given this, to obtain an overall picture of the G7, we used a panel VAR model to analyze the impact of monetary policy shocks on the six indicators of bubbles. We found that monetary policy not only impact the bubble indicators, but also responds to them, with the nature of the underlying responses contingent on whether bubbles are positive or negative in nature, as well as the time-scale we are analyzing. In light of these findings, our results have serious implications for monetary authorities of these developed markets. But in general, we can conclude that central banks of the G7 can indeed ``lean against the wind", and they have also been doing so under both conventional and unconventional monetary policy periods.

Suggested Citation

  • Petre Caraiani & Rangan Gupta & Jacobus Nel & Joshua Nielsen, 2022. "Monetary Policy and Bubbles in G7 Economies: Evidence from a Panel VAR Approach," Working Papers 202230, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:202230
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    References listed on IDEAS

    as
    1. André, Christophe & Caraiani, Petre & Călin, Adrian Cantemir & Gupta, Rangan, 2022. "Can monetary policy lean against housing bubbles?," Economic Modelling, Elsevier, vol. 110(C).
    2. Antonakakis, Nikolaos, 2012. "Business cycle synchronization during US recessions since the beginning of the 1870s," Economics Letters, Elsevier, vol. 117(2), pages 467-472.
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    Cited by:

    1. Gupta, Rangan & Nel, Jacobus & Nielsen, Joshua, 2023. "US monetary policy and BRICS stock market bubbles," Finance Research Letters, Elsevier, vol. 51(C).

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    More about this item

    Keywords

    Multi-Scale Bubbles; Panel VAR; Monetary Policy; G7 Countries;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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