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Testing for speculative bubbles in agricultural commodity prices: a regime switching approach

Author

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  • Xiaoliang Liu
  • Guenther Filler
  • Martin Odening

Abstract

Purpose - The authors' paper aims to deal with the question whether speculative bubbles are present in agricultural commodity prices. Design/methodology/approach - The authors apply a regime switching regression model to test the hypothesis that agricultural prices contain periodically collapsing bubbles. Using daily futures prices for six agricultural commodities, the authors calculate net convenience yields from which price fundamentals are derived. Findings - The authors discover pronounced deviations between observed prices and their fundamental values. However, they do not find evidence for the presence of periodically and partially collapsing speculative bubbles for five of six commodities. Except for soybeans, the signs and the significance of the estimated coefficients are not entirely in line with the predictions of the theoretical model. Originality/value - The authors' study adds to the heated discussion on the impact of speculative behavior on agricultural commodity prices. So far, most contributions in the literature either use theoretical arguments for the (non-) existence of bubbles or apply indirect tests which are plagued by low statistical reliability. In contrast, the authors apply a direct test. They find that the outcome of empirical bubble tests depends on the considered bubble type and on the testing procedure. In view of these ambiguities, definite statements on the presence of speculative bubbles as well as demands for limitations of speculative positions in commodity futures markets should be carefully reconsidered.

Suggested Citation

  • Xiaoliang Liu & Guenther Filler & Martin Odening, 2013. "Testing for speculative bubbles in agricultural commodity prices: a regime switching approach," Agricultural Finance Review, Emerald Group Publishing, vol. 73(1), pages 179-200, May.
  • Handle: RePEc:eme:afrpps:v:73:y:2013:i:1:p:179-200
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    Citations

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    Cited by:

    1. Jeanne Diesteldorf & Sarah Meyer & Jan Voelzke, 2016. "New evidence for explosive behavior of commodity prices," CQE Working Papers 5016, Center for Quantitative Economics (CQE), University of Muenster.
    2. Areal, Francisco José & Balcombe, Kevin & Rapsomanikis, George, 2016. "Testing for bubbles in agriculture commodity markets," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 16(01), June.
    3. López Cabrera, Brenda & Schulz, Franziska, 2016. "Volatility linkages between energy and agricultural commodity prices," Energy Economics, Elsevier, vol. 54(C), pages 190-203.
    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. Fatima, Hira & Ahmed, Mumtaz, 2019. "Testing for Exuberance Behavior in Agricultural Commodities of Pakistan," MPRA Paper 95304, University Library of Munich, Germany.
    6. Stephanie-Carolin Grosche, 2014. "What Does Granger Causality Prove? A Critical Examination of the Interpretation of Granger Causality Results on Price Effects of Index Trading in Agricultural Commodity Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 279-302, June.
    7. Bohl, Martin T. & Sulewski, Christoph, 2019. "The impact of long-short speculators on the volatility of agricultural commodity futures prices," Journal of Commodity Markets, Elsevier, vol. 16(C).
    8. Adämmer, Philipp & Bohl, Martin T., 2015. "Speculative bubbles in agricultural prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 67-76.
    9. Brett Olsen & Jeffrey Stokes, 2015. "Is Farm Real Estate The Next Bubble?," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 355-376, April.
    10. Benoît Guilleminot & Jean-Jacques Ohana & Steve Ohana, 2014. "The interaction of speculators and index investors in agricultural derivatives markets," Agricultural Economics, International Association of Agricultural Economists, vol. 45(6), pages 767-792, November.
    11. Martin T. Bohl & Christoph Sulewski, 2018. "The Impact of Long-Short Speculators on the Volatility of Agricultural Commodity Futures Prices," CQE Working Papers 7718, Center for Quantitative Economics (CQE), University of Muenster.
    12. Go, You-How & Lau, Wee-Yeap, 2017. "Investor demand, market efficiency and spot-futures relation: Further evidence from crude palm oil," Resources Policy, Elsevier, vol. 53(C), pages 135-146.
    13. Xi-Xi Zhang & Lu Liu & Chi-Wei Su & Ran Tao & Oana-Ramona Lobonţ & Nicoleta-Claudia Moldovan, 2019. "Bubbles in Agricultural Commodity Markets of China," Complexity, Hindawi, vol. 2019, pages 1-7, December.

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    More about this item

    Keywords

    Agricultural commodity markets; Speculative bubbles; Regime switching; Fundamental values; Agriculture; Commodity markets;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

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