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The ENSO Effect on World Wheat Market Dynamics: Smooth Transitions in Asymmetric Price Transmission

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  • Ubilava, David

Abstract

Climate anomalies, such as El Nino Southern Oscillation (ENSO), affect agricultural production in different parts of the world, and can impact price behavior of the internationally traded commodities. This study examines the effect of ENSO on wheat price dynamics of five major exporting regions -- USA, Canada, Australia, EU, and Argentina. While the prices are linked due to the law of one price and the arbitrage conditions, nonlinear price adjustments are expected, due to the transaction costs, the market power, derived asymmetries from supply shocks. This study addresses asymmetries in wheat price transmission in response to ENSO-related supply shocks, using univariate and multivariate smooth transition modelling frameworks. Results of this study confirm regime-dependent nonlinearities in ENSO cycles as well as the system of considered wheat prices, where regimes are conditioned on the state of nature of the ENSO anomaly. In general, positive ENSO shocks, i.e. El Nino-s, result in wheat price reduction, while negative ENSO shock, i.e. La Nina-s, results in increased wheat prices. Moreover, the asymmetric nature of the responses to ENSO shocks implies that the rates of price increases are, on average, larger as compared to the rates of price decreases.

Suggested Citation

  • Ubilava, David, 2014. "The ENSO Effect on World Wheat Market Dynamics: Smooth Transitions in Asymmetric Price Transmission," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170223, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:170223
    DOI: 10.22004/ag.econ.170223
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    References listed on IDEAS

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    1. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    2. Maximo Camacho, 2004. "Vector smooth transition regression models for US GDP and the composite index of leading indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 173-196.
    3. Allan D. Brunner, 2002. "El Niño and World Primary Commodity Prices: Warm Water or Hot Air?," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 176-183, February.
    4. Barry K. Goodwin & Nicholas E. Piggott, 2001. "Spatial Market Integration in the Presence of Threshold Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 302-317.
    5. H. Peter Boswijk & Philip Hans Franses & Dick van Dijk, 2000. "Asymmetric and Common Absorption of Shocks in Nonlinear Autoregressive Models," Econometric Society World Congress 2000 Contributed Papers 0765, Econometric Society.
    6. Rothman, Philip & van Dijk, Dick & , Philip Hans, 2001. "Multivariate Star Analysis Of Money–Output Relationship," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 506-532, September.
    7. Enders, Walter & Holt, Matthew T., 2011. "Breaks, bubbles, booms, and busts: the evolution of primary commodity price fundamentals," MPRA Paper 31461, University Library of Munich, Germany.
    8. Weise, Charles L, 1999. "The Asymmetric Effects of Monetary Policy: A Nonlinear Vector Autoregression Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(1), pages 85-108, February.
    9. Barry K. Goodwin & Ted C. Schroeder, 1991. "Price Dynamics in International Wheat Markets," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 39(2), pages 237-254, July.
    10. David A Bessler & Jian Yang & Metha Wongcharupan, 2003. "Price Dynamics in the International Wheat Market: Modeling with Error Correction and Directed Acyclic Graphs," Journal of Regional Science, Wiley Blackwell, vol. 43(1), pages 1-33, February.
    11. Cashin, Paul & McDermott, C. John & Scott, Alasdair, 2002. "Booms and slumps in world commodity prices," Journal of Development Economics, Elsevier, vol. 69(1), pages 277-296, October.
    12. Skalin, Joakim & Teräsvirta, Timo, 2002. "Modeling Asymmetries And Moving Equilibria In Unemployment Rates," Macroeconomic Dynamics, Cambridge University Press, vol. 6(2), pages 202-241, April.
    13. Samarendu Mohanty & William H. Meyers & Darnell B. Smith, 1999. "A Reexamination of Price Dynamics in the International Wheat Market," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 47(1), pages 21-29, March.
    14. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
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    Keywords

    Crop Production/Industries; Demand and Price Analysis; Research Methods/ Statistical Methods;
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