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Commodities' common factor: An empirical assessment of the markets' drivers

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  • Lübbers, Johannes
  • Posch, Peter N.

Abstract

Using a generalized dynamic factor model, we identify a latent common factor in a broad sample of thirty-one commodity futures’ returns between 1996 and 2015. An investigation of sub-periods reveals an increasing correlation between the common factor and changes in gold and oil prices during the financial crisis. We also consider whether the common factors of commodity subsectors give an advantage to the pricing of commodity futures’ returns. In the cross-section of individual futures’ returns we suggest that two- or three-factor models that include energy's or agriculture's common factors can explain commodity returns. Thus, our results indicate an increasing homogeneity of the commodity markets in recent years.

Suggested Citation

  • Lübbers, Johannes & Posch, Peter N., 2016. "Commodities' common factor: An empirical assessment of the markets' drivers," Journal of Commodity Markets, Elsevier, vol. 4(1), pages 28-40.
  • Handle: RePEc:eee:jocoma:v:4:y:2016:i:1:p:28-40
    DOI: 10.1016/j.jcomm.2016.10.002
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    6. Fabio Gaetano Santeramo & Emilia Lamonaca & Francesco Contò & Gianluca Nardone & Antonio Stasi, 2018. "Drivers of grain price volatility: a cursory critical review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(8), pages 347-356.

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    More about this item

    Keywords

    Commodity-specific common factor; Generalized dynamic factor models; Co-movement;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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