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Oil price shocks in real time

Author

Listed:
  • Gazzani, Andrea
  • Venditti, Fabrizio
  • Veronese, Giovanni

Abstract

Oil prices contain information on global shocks of key relevance for monetary policy decisions. We propose a novel approach to identify these shocks at the daily frequency in a Structural Vector Autoregression (SVAR). Our method is devised to be used in real time to interpret the developments in the oil market and their implications for the macroeconomy, circumventing the problem of publication lags that plagues monthly data used in workhorse SVAR models. It proves particularly valuable for monetary policymakers at times when macroeconomic conditions evolve rapidly, like during the COVID-19 pandemic or the invasion of Ukraine by Russia.

Suggested Citation

  • Gazzani, Andrea & Venditti, Fabrizio & Veronese, Giovanni, 2024. "Oil price shocks in real time," Journal of Monetary Economics, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:moneco:v:144:y:2024:i:c:s0304393223001630
    DOI: 10.1016/j.jmoneco.2023.12.005
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