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International interdependence between cash crop and staple food futures price indices: A wavelet-BEKK-GARCH assessment

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  • Heckelei, T.
  • Amrouk, E.M.
  • Grosche, S.

Abstract

This study examines the price level and volatility interaction between international staple food and cash crop futures price indices. Understanding the relationship between these commodities bears significant implication for net food importing developing countries that depend on cash crop to finance food import bills. We use a wavelet analysis to decompose and denoise the price indices and then apply a BEKK-MGARCH approach to analyze the relationship across time-frequency domains. Results indicate the level of correlation and volatility linkages are strongest at lower frequencies (i.e. longer run), with markets adjusting quickly to volatility shocks after a high initial impact. Acknowledgement :

Suggested Citation

  • Heckelei, T. & Amrouk, E.M. & Grosche, S., 2018. "International interdependence between cash crop and staple food futures price indices: A wavelet-BEKK-GARCH assessment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277376, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277376
    DOI: 10.22004/ag.econ.277376
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    File URL: https://ageconsearch.umn.edu/record/277376/files/1872.pdf
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    References listed on IDEAS

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    1. Angus Deaton & Guy Laroque, 1992. "On the Behaviour of Commodity Prices," Review of Economic Studies, Oxford University Press, vol. 59(1), pages 1-23.
    2. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    3. Gardebroek, Cornelis & Hernandez, Manuel A., 2013. "Do energy prices stimulate food price volatility? Examining volatility transmission between US oil, ethanol and corn markets," Energy Economics, Elsevier, vol. 40(C), pages 119-129.
    4. Malik, Farooq & Ewing, Bradley T., 2009. "Volatility transmission between oil prices and equity sector returns," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 95-100, June.
    5. Park, Jungwook & Ratti, Ronald A., 2008. "Oil price shocks and stock markets in the U.S. and 13 European countries," Energy Economics, Elsevier, vol. 30(5), pages 2587-2608, September.
    6. Bryan R. Routledge & Duane J. Seppi & Chester S. Spatt, 2000. "Equilibrium Forward Curves for Commodities," Journal of Finance, American Finance Association, vol. 55(3), pages 1297-1338, June.
    7. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    8. Awartani, Basel & Maghyereh, Aktham Issa, 2013. "Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council Countries," Energy Economics, Elsevier, vol. 36(C), pages 28-42.
    9. Nicola, Francesca de & De Pace, Pierangelo & Hernandez, Manuel A., 2016. "Co-movement of major energy, agricultural, and food commodity price returns: A time-series assessment," Energy Economics, Elsevier, vol. 57(C), pages 28-41.
    10. Suleyman Basak & Anna Pavlova, 2016. "A Model of Financialization of Commodities," Journal of Finance, American Finance Association, vol. 71(4), pages 1511-1556, August.
    11. Jammazi, Rania & Aloui, Chaker, 2012. "Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling," Energy Economics, Elsevier, vol. 34(3), pages 828-841.
    12. Power, Gabriel J. & Turvey, Calum G., 2010. "Long-range dependence in the volatility of commodity futures prices: Wavelet-based evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 79-90.
    13. Govereh, Jones & Jayne, T. S., 2003. "Cash cropping and food crop productivity: synergies or trade-offs?," Agricultural Economics, Blackwell, vol. 28(1), pages 39-50, January.
    14. Alanoud Al-Maadid & Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2017. "Spillovers between food and energy prices and structural breaks," International Economics, CEPII research center, issue 150, pages 1-18.
    15. Trujillo-Barrera, Andres & Mallory, Mindy L. & Garcia, Philip, 2012. "Volatility Spillovers in U.S. Crude Oil, Ethanol, and Corn Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-16, August.
    16. Lin Gao & Lu Liu, 2014. "The Volatility Behavior and Dependence Structure of Commodity Futures and Stocks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(1), pages 93-101, January.
    17. Acharya, Viral V. & Lochstoer, Lars A. & Ramadorai, Tarun, 2013. "Limits to arbitrage and hedging: Evidence from commodity markets," Journal of Financial Economics, Elsevier, vol. 109(2), pages 441-465.
    18. Mensi, Walid & Beljid, Makram & Boubaker, Adel & Managi, Shunsuke, 2013. "Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold," Economic Modelling, Elsevier, vol. 32(C), pages 15-22.
    19. Vivian, Andrew & Wohar, Mark E., 2012. "Commodity volatility breaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 395-422.
    20. Shalini, Velappan & Prasanna, Krishna, 2016. "Impact of the financial crisis on Indian commodity markets: Structural breaks and volatility dynamics," Energy Economics, Elsevier, vol. 53(C), pages 40-57.
    21. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    22. C. Peter Timmer, 1997. "Farmers and Markets: The Political Economy of New Paradigms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 621-627.
    23. Mark W. Rosegrant & Tingju Zhu & Siwa Msangi & Timothy Sulser, 2008. "Global Scenarios for Biofuels: Impacts and Implications," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(3), pages 495-505.
    24. Michael T. Weber & John M. Staatz & Eric W. Crawford & Richard H. Bernsten & John S. Holtzman, 1988. "Informing Food Security Decisions in Africa: Empirical Analysis and Policy Dialogue," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(5), pages 1044-1052.
    25. Pal, Debdatta & Mitra, Subrata K., 2017. "Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis," Energy Economics, Elsevier, vol. 62(C), pages 230-239.
    26. Theriault, Veronique & Tschirley, David L., 2014. "How Institutions Mediate the Impact of Cash Cropping on Food Crop Intensification: An Application to Cotton in Sub-Saharan Africa," World Development, Elsevier, vol. 64(C), pages 298-310.
    27. El Hedi Arouri, Mohamed & Jouini, Jamel & Nguyen, Duc Khuong, 2011. "Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1387-1405.
    28. Olson, Eric & J. Vivian, Andrew & Wohar, Mark E., 2014. "The relationship between energy and equity markets: Evidence from volatility impulse response functions," Energy Economics, Elsevier, vol. 43(C), pages 297-305.
    29. Maxwell, Simon & Fernando, Adrian, 1989. "Cash crops in developing countries: The issues, the facts, the policies," World Development, Elsevier, vol. 17(11), pages 1677-1708, November.
    30. Ftiti, Zied & Kablan, Sandrine & Guesmi, Khaled, 2016. "What can we learn about commodity and credit cycles? Evidence from African commodity-exporting countries," Energy Economics, Elsevier, vol. 60(C), pages 313-324.
    31. Teterin, Pavel & Brooks, Robert & Enders, Walter, 2016. "Smooth volatility shifts and spillovers in U.S. crude oil and corn futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 22-36.
    32. Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 173-187.
    33. Mensi, Walid & Tiwari, Aviral & Bouri, Elie & Roubaud, David & Al-Yahyaee, Khamis H., 2017. "The dependence structure across oil, wheat, and corn: A wavelet-based copula approach using implied volatility indexes," Energy Economics, Elsevier, vol. 66(C), pages 122-139.
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