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On the drivers of commodity co-movement: evidence from biofuels

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  • Peñaranda, Francisco
  • Micola, Augusto

Abstract

We use the recent introduction of biofuels to study the effect of industry factors on the relationships between wholesale commodity prices. Correlations between agricultural products and oil are strongest in the 2005-09 period, coinciding with the boom of biofuels, and remain substantial until 2011. We disentangle three possible drivers for the linkage: substitution, energy costs, and financialization. The timing and magnitude of the biofuels-to-oil relationships are different to those of other commodities, and far higher than can be justified by costs and financialization. Substitution and costs drive the monthly correlations of long-term futures, and each of the three contribute equally to the daily co-movement of the short-term ones. The findings survive many robustness checks and appear in the stock market.

Suggested Citation

  • Peñaranda, Francisco & Micola, Augusto, 2011. "On the drivers of commodity co-movement: evidence from biofuels," LSE Research Online Documents on Economics 119057, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:119057
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    File URL: http://eprints.lse.ac.uk/119057/
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    References listed on IDEAS

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    1. Amani Elobeid & Simla Tokgoz, 2006. "Removal of U.S. Ethanol Domestic and Trade Distortions: Impact on U.S. and Brazilian Ethanol Markets," Center for Agricultural and Rural Development (CARD) Publications 06-wp427, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. Martin Banse & Hans van Meijl & Andrzej Tabeau & Geert Woltjer, 2008. "Will EU biofuel policies affect global agricultural markets?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 35(2), pages 117-141, June.
    3. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    4. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    5. Alberto Salvo & Cristian Huse, 2011. "Is Arbitrage Tying the Price of Ethanol to that of Gasoline? Evidence from the Uptake of Flexible-Fuel Technology," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 119-148.
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    More about this item

    Keywords

    biofuels; commodities; co-movement; ethanol; oil; structural breaks;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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