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Uncertainty diffusion across commodity markets

Author

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  • Jacques Minlend

    (Univ Rennes, CNRS, CREM - UMR 6211, F-35000 Rennes, France)

  • Isabelle Cadoret

    (Univ Rennes, CNRS, CREM - UMR 6211, F-35000 Rennes, France)

  • Tovonony Razafindrabe

    (Univ Rennes, CNRS, CREM - UMR 6211, F-35000 Rennes, France)

Abstract

While there exist numerous studies on volatility transmission across commodity markets, particularly across oil and agricultural markets, uncertainty diffusion across commodity markets remains absent from the literature. This situation is mainly due to the lack of an appropriate measure of commodity price uncertainty, which is known to be different from volatility. This study focuses on the measure of commodity price uncertainty and how it is transferred from one commodity market to another. Our contribution is twofold: (i) we construct, for each group of commodity markets and different maturities, an aggregate predictability-based measure of uncertainty, and (ii) we analyze uncertainty diffusion across different commodity markets using a vector autoregressive model. Our findings show that: first, there is a bi-causal uncertainty transfer between agriculture, energy and industry markets, except for precious metals markets. Second, the industrial commodity market is also assumed to be the transmission channel of commodity uncertainty spread, given its close link with the global economic activity. Notably, we discuss the fact that industrial uncertainty can be used as a proxy for macroeconomic uncertainty. Finally, precious metals insensitivity to other markets’ shocks reinforces its nature of safe haven.

Suggested Citation

  • Jacques Minlend & Isabelle Cadoret & Tovonony Razafindrabe, 2021. "Uncertainty diffusion across commodity markets," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 2021-02, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
  • Handle: RePEc:tut:cremwp:2021-02
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    Keywords

    Commodity uncertainty; vector autoregressive model; macroeconomic uncertainty;
    All these keywords.

    JEL classification:

    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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