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How Far Do Shocks Move Across Borders? Examining Volatility Transmission in Major Agricultural Futures Markets

  • Manuel A. Hernández
  • Raúl Ibarra-Ramírez
  • Danilo R. Trupkin

This paper examines the level of interdependence and volatility transmission in global agricultural futures markets. We follow a multivariate GARCH approach to explore the dynamics and cross-dynamics of volatility across major exchanges of corn, wheat, and soybeans between the United States, Europe, and Asia. We account for the potential bias that may arise when considering exchanges with different closing times. The results indicate that agricultural markets are highly interrelated and there are both own- and cross- volatility spillovers and dependence among most of the exchanges. The results also show the major role Chicago plays in terms of spillover effects over the other markets, particularly for corn and wheat. Additionally, the level of interdependence between exchanges has only increased in recent years for some of the commodities.

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File URL: http://www.banxico.org.mx/publicaciones-y-discursos/publicaciones/documentos-de-investigacion/banxico/%7B16E9C6B5-B4F3-26DE-390D-1C31FBF1A6C9%7D.pdf
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Paper provided by Banco de México in its series Working Papers with number 2011-15.

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Date of creation: Dec 2011
Handle: RePEc:bdm:wpaper:2011-15
Contact details of provider: Web page: http://www.banxico.org.mx

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  1. Manuel A. Hernández & Raúl Ibarra-Ramírez & Danilo R. Trupkin, 2011. "How Far Do Shocks Move Across Borders? Examining Volatility Transmission in Major Agricultural Futures Markets," Working Papers 2011-15, Banco de México.
  2. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
  3. BAUWENS, Luc & LAURENT, Sébastien & ROMBOUTS, Jeroen, 2003. "Multivariate GARCH models: a survey," CORE Discussion Papers 2003031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  4. Schroeder, Ted C. & Goodwin, Barry K., 1990. "Price Dynamics in International Wheat Markets," Staff Papers 118178, Kansas State University, Department of Agricultural Economics.
  5. Carrasco, Marine & Chen, Xiaohong, 2002. "Mixing And Moment Properties Of Various Garch And Stochastic Volatility Models," Econometric Theory, Cambridge University Press, vol. 18(01), pages 17-39, February.
  6. Protopapadakis, Aris & Stoll, Hans R, 1983. " Spot and Futures Prices and the Law of One Price," Journal of Finance, American Finance Association, vol. 38(5), pages 1431-1455, December.
  7. Robert F. Engle & José Gonzalo Rangel, 2009. "High and Low Frequency Correlations in Global Equity Markets," Working Papers 2009-17, Banco de México.
  8. I. D. Vrontos & P. Dellaportas & D. N. Politis, 2003. "A full-factor multivariate GARCH model," Econometrics Journal, Royal Economic Society, vol. 6(2), pages 312-334, December.
  9. Jian Yang & Jin Zhang & David J. Leatham, 2003. "Price and Volatility Transmission in International Wheat Futures," Annals of Economics and Finance, Society for AEF, vol. 4(1), pages 37-50, May.
  10. Garbade, Kenneth D & Silber, William L, 1983. "Price Movements and Price Discovery in Futures and Cash Markets," The Review of Economics and Statistics, MIT Press, vol. 65(2), pages 289-297, May.
  11. Hernandez, Manuel & Torero, Maximo, 2010. "Examining the dynamic relationship between spot and future prices of agricultural commodities," IFPRI discussion papers 988, International Food Policy Research Institute (IFPRI).
  12. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
  13. Andrew Worthington & Helen Higgs, 2004. "Transmission of equity returns and volatility in Asian developed and emerging markets: a multivariate GARCH analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 71-80.
  14. Tse, Yiuman & Lee, Tae-Hwy & Booth, G. Geoffrey, 1996. "The international transmission of information in Eurodollar futures markets: a continuously trading market hypothesis," Journal of International Money and Finance, Elsevier, vol. 15(3), pages 447-465, June.
  15. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
  16. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 11-25, January.
  17. Guillermo Benavides & Carlos Capistrán, 2009. "A Note on the Volatilities of the Interest Rate and the Exchange Rate Under Different Monetary Policy Instruments: Mexico 1998-2008," Working Papers 2009-10, Banco de México.
  18. Roy van der Weide, 2002. "GO-GARCH: a multivariate generalized orthogonal GARCH model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 549-564.
  19. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
  20. John Galbraith & Aman Ullah & Victoria Zinde-Walsh, 2002. "Estimation Of The Vector Moving Average Model By Vector Autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 205-219.
  21. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425.
  22. Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-542, May.
  23. Lee, Tae-Hwy & Long, Xiangdong, 2009. "Copula-based multivariate GARCH model with uncorrelated dependent errors," Journal of Econometrics, Elsevier, vol. 150(2), pages 207-218, June.
  24. Elyasiani, Elyas & Perera, Priyal & Puri, Tribhuvan N., 1998. "Interdependence and dynamic linkages between stock markets of Sri Lanka and its trading partners," Journal of Multinational Financial Management, Elsevier, vol. 8(1), pages 89-101, January.
  25. Geoffrey Booth, G. & Ciner, Cetin, 1997. "International transmission on information in corn futures markets," Journal of Multinational Financial Management, Elsevier, vol. 7(3), pages 175-187, October.
  26. Fiorentini, Gabriele & Sentana, Enrique & Calzolari, Giorgio, 2003. "Maximum Likelihood Estimation and Inference in Multivariate Conditionally Heteroscedastic Dynamic Regression Models with Student t Innovations," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(4), pages 532-546, October.
  27. Koutmos, Gregory & Booth, G Geoffrey, 1995. "Asymmetric volatility transmission in international stock markets," Journal of International Money and Finance, Elsevier, vol. 14(6), pages 747-762, December.
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