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The Effect of ENSO Shocks on Commodity Prices: A Multi-Time Scale Approach

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  • Gilles Dufrénot

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • William Ginn

    (Adidas AG)

  • Marc Pourroy

    (CRIEF [Poitiers] - Centre de recherche sur l'intégration économique et financière - UP - Université de Poitiers = University of Poitiers)

Abstract

We investigate the effect of changing ENSO patterns on global commodity prices, including energy, metals/minerals and agriculture real commodity price subsets, while controlling for global economic output and interest rate via a global factor local projections (GFALP) model. We study the responses to climate shocks using a nonlinear multivariate model to assess differential effects across ENSO climate regimes. We find that commodity inflation is reactive to El Niño and La Niña events, but that this sensitivity can occur either in the short-or long-term depending on the commodity under investigation. For commodities in agriculture, we uncover an asymmetric influence of El Niño and La Niña shocks. More central banks are questioning whether climate change is part of their mission to stabilize prices. Our results indicate the existence of a direct link between weather anomalies and commodity inflation, one that should be integrated into the central banks' inflation targeting framework.

Suggested Citation

  • Gilles Dufrénot & William Ginn & Marc Pourroy, 2021. "The Effect of ENSO Shocks on Commodity Prices: A Multi-Time Scale Approach," Working Papers halshs-03225070, HAL.
    • Handle: RePEc:hal:wpaper:halshs-03225070
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03225070
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    2. Ventosa-Santaulària, Daniel & Tapia, Edwin & Pérez-Peña, Anna Karina, 2024. "Inflation dynamics under different weather regimes: Evidence from Mexico," Ecological Economics, Elsevier, vol. 220(C).

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    More about this item

    Keywords

    ENSO; Weather; Commodity Price; Agriculture; Energy;
    All these keywords.

    JEL classification:

    • 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
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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