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Speculative impacts on grains price volatility

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  • Gilbert, Christopher L.

Abstract

The paper examines the impact of changes in the positions of financial actors on the volatilities of Chicago grains and vegetable oil prices using a GARCH-X framework within which a variant of Granger-causality tests can be performed. The paper analyses both the position data in the post-2006 CFTC Commitments of Traders reports and the data on index provider positions in the Supplemental reports. A test of the Masters hypothesis that index trading increase volatility fails to find support.

Suggested Citation

  • Gilbert, Christopher L., 2012. "Speculative impacts on grains price volatility," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122540, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa123:122540
    DOI: 10.22004/ag.econ.122540
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    References listed on IDEAS

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    1. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    2. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    3. Dwight R. Sanders & Scott H. Irwin, 2010. "A speculative bubble in commodity futures prices? Cross‐sectional evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 25-32, January.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Brenner, Robin J. & Harjes, Richard H. & Kroner, Kenneth F., 1996. "Another Look at Models of the Short-Term Interest Rate," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(1), pages 85-107, March.
    6. Diba, Behzad T & Grossman, Herschel I, 1988. "The Theory of Rational Bubbles in Stock Prices," Economic Journal, Royal Economic Society, vol. 98(392), pages 746-754, September.
    7. Irwin, Scott H. & Garcia, Philip & Good, Darrel L. & Kunda, Eugene L., 2009. "Poor Convergence Performance of CBOT Corn, Soybean and Wheat Futures Contracts: Causes and Solutions," Marketing and Outlook Research Reports 183475, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
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    Cited by:

    1. Ana I. Sanjuán-López & Philip J. Dawson, 2017. "Volatility Effects of Index Trading and Spillovers on US Agricultural Futures Markets: A Multivariate GARCH Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 822-838, September.
    2. Haase, Marco & Huss, Matthias, 2018. "Guilty speculators? Range-based conditional volatility in a cross-section of wheat futures," Journal of Commodity Markets, Elsevier, vol. 10(C), pages 29-46.
    3. Pies, Ingo, 2012. "Die zivilgesellschaftliche Kampagne gegen Finanzspekulationen mit Agrarrohstoffen: Eine wirtschaftsethische Stellungnahme," Discussion Papers 2012-23, Martin Luther University of Halle-Wittenberg, Chair of Economic Ethics.
    4. Bosch, David & Pradkhan, Elina, 2015. "The impact of speculation on precious metals futures markets," Resources Policy, Elsevier, vol. 44(C), pages 118-134.
    5. Ederer, Stefan & Heumesser, Christine & Staritz, Cornelia, 2013. "The role of fundamentals and financialisation in recent commodity price developments: An empirical analysis for wheat, coffee, cotton, and oil," Working Papers 42, Austrian Foundation for Development Research (ÖFSE).
    6. 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.
    7. Haase, Marco & Seiler Zimmermann, Yvonne & Zimmermann, Heinz, 2016. "The impact of speculation on commodity futures markets – A review of the findings of 100 empirical studies," Journal of Commodity Markets, Elsevier, vol. 3(1), pages 1-15.
    8. Srivastava, Mrinalini & Rao, Amar & Parihar, Jaya Singh & Chavriya, Shubham & Singh, Surendar, 2023. "What do the AI methods tell us about predicting price volatility of key natural resources: Evidence from hyperparameter tuning," Resources Policy, Elsevier, vol. 80(C).

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