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Returns in Commodities Futures Markets and Financial Speculation: A Multivariate GARCH Approach

Author

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  • Manera, Matteo
  • Nicolini, Marcella
  • Vignati, Ilaria

Abstract

This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that financial speculation is poorly significant in modelling returns in commodities futures while macroeconomic factors help explaining returns in commodities futures. Moreover, spillovers between commodities are present and the conditional correlations among commodities are high and time-varying.

Suggested Citation

  • Manera, Matteo & Nicolini, Marcella & Vignati, Ilaria, 2012. "Returns in Commodities Futures Markets and Financial Speculation: A Multivariate GARCH Approach," Energy: Resources and Markets 122868, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemer:122868
    DOI: 10.22004/ag.econ.122868
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    1. repec:dau:papers:123456789/14980 is not listed on IDEAS
    2. Creti, Anna & Joëts, Marc & Mignon, Valérie, 2013. "On the links between stock and commodity markets' volatility," Energy Economics, Elsevier, vol. 37(C), pages 16-28.
    3. Morana, Claudio, 2013. "Oil price dynamics, macro-finance interactions and the role of financial speculation," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 206-226.
    4. Will, Matthias Georg & Prehn, Sören & Pies, Ingo & Glauben, Thomas, 2012. "Schadet oder nützt die Finanzspekulation mit Agrarrohstoffen? Ein Literaturüberblick zum aktuellen Stand der empirischen Forschung," Discussion Papers 2012-26, Martin Luther University of Halle-Wittenberg, Chair of Economic Ethics.
    5. Khan, Aftab & Masih, Mansur, 2014. "Correlation between Islamic stock and Commodity markets: An investigation into the impact of financial crisis and financialization of commodity markets," MPRA Paper 56979, University Library of Munich, Germany.
    6. Tanattrin Bunnag, 2015. "Volatility Transmission in Oil Futures Markets and Carbon Emissions Futures," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 647-659.
    7. Mensi, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Yoon, Seong-Min, 2014. "Dynamic spillovers among major energy and cereal commodity prices," Energy Economics, Elsevier, vol. 43(C), pages 225-243.

    More about this item

    Keywords

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    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
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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