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Price dependence and asymmetric responses between coffee varieties

Author

Listed:
  • Stavrakoudis, Athanassios
  • Panagiotou, Dimitrios
Abstract
he objective of this paper is to assess the degree and the structure of price dependence between four different coffee varieties of the Arabicas and Robustas qualities. This is pursued using the statistical tool of copulas and monthly price data for the period 2006–2015. The empirical results indicate: (i) price booms and price crashes are transmitted with different probabilities in five out of six pairs of different coffee varieties, indicating asymmetric price dependence during extreme market upswings/downswings, and (ii) price in- creases are transmitted faster and more fully than price decreases, since in every pair examined in this study, the upper tail dependence coefficient is higher than the lower tail dependence coefficient. According to the results, coffee producers are more likely to see coffee prices of different varieties of the same and different quality to boom rather than crash together.

Suggested Citation

  • Stavrakoudis, Athanassios & Panagiotou, Dimitrios, 2016. "Price dependence and asymmetric responses between coffee varieties," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
    • Handle: RePEc:ags:aergaa:262437
    DOI: 10.22004/ag.econ.262437
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    References listed on IDEAS

    as
    1. Atanu Ghoshray, 2009. "On Price Dynamics for Different Qualities of Coffee," Review of Market Integration, India Development Foundation, vol. 1(1), pages 103-118, April.
    2. Reboredo, Juan C., 2011. "How do crude oil prices co-move?: A copula approach," Energy Economics, Elsevier, vol. 33(5), pages 948-955, September.
    3. Daniel Berg, 2009. "Copula goodness-of-fit testing: an overview and power comparison," The European Journal of Finance, Taylor & Francis Journals, vol. 15(7-8), pages 675-701.
    4. Yoon, Sung-Joon & Park, Ji Eun, 2012. "Do sensory ad appeals influence brand attitude?," Journal of Business Research, Elsevier, vol. 65(11), pages 1534-1542.
    5. Genest, Christian & Rémillard, Bruno & Beaudoin, David, 2009. "Goodness-of-fit tests for copulas: A review and a power study," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 199-213, April.
    6. Chen, Xiaohong & Fan, Yanqin, 2006. "Estimation of copula-based semiparametric time series models," Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
    7. Yan, Jun, 2007. "Enjoy the Joy of Copulas: With a Package copula," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i04).
    8. Zoltán Bakucs & Jan Fałkowski & Imre Fertő, 2014. "Does Market Structure Influence Price Transmission in the Agro-food Sector? A Meta-analysis Perspective," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(1), pages 1-25, January.
    9. Nash, John C., 2014. "On Best Practice Optimization Methods in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 60(i02).
    10. repec:lic:licosd:34714 is not listed on IDEAS
    11. Mehta, A. & Chavas, Jean-Paul, 2008. "Responding to the Coffee Crisis: What We Can Learn from Price Dynamics," Working Papers 201444, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    12. Giliola Frey & Matteo Manera, 2007. "Econometric Models Of Asymmetric Price Transmission," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 349-415, April.
    13. Christos J. Emmanouilides & Panos Fousekis, 2015. "Vertical price dependence structures: copula-based evidence from the beef supply chain in the USA," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 42(1), pages 77-97.
    14. Kilian, Bernard & Jones, Connie & Pratt, Lawrence & Villalobos, Andres, 2006. "Is sustainable agriculture a viable strategy to improve farm income in Central America? A case study on coffee," Journal of Business Research, Elsevier, vol. 59(3), pages 322-330, March.
    15. David Ubilava, 2012. "El Niño, La Niña, and world coffee price dynamics," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 17-26, January.
    16. Jochen Meyer & Stephan von Cramon‐Taubadel, 2004. "Asymmetric Price Transmission: A Survey," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 581-611, November.
    17. Johan F.M. Swinnen & Anneleen Vandeplas, 2014. "Price Transmission and Market Power in Modern Agricultural Value Chains," Working Papers id:5787, eSocialSciences.
    18. Patton, Andrew J., 2012. "A review of copula models for economic time series," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 4-18.
    19. Bill Russell & Sushil Mohan & Anindya Banerjee, 2012. "Coffee Market Liberalisation and the Implications for Producers in Brazil, Guatemala and India," The World Bank Economic Review, World Bank, vol. 26(3), pages 514-538.
    20. Pavel Vavra & Barry K. Goodwin, 2005. "Analysis of Price Transmission Along the Food Chain," OECD Food, Agriculture and Fisheries Papers 3, OECD Publishing.
    21. Brechmann, Eike Christian & Schepsmeier, Ulf, 2013. "Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i03).
    22. Dimitrios Panagiotou & Athanassios Stavrakoudis, 2015. "Price asymmetry between different pork cuts in the USA: a copula approach," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-8, December.
    23. Adam P. Wilson & Norbert L.W. Wilson, 2014. "The economics of quality in the specialty coffee industry: insights from the Cup of Excellence auction programs," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 91-105, November.
    24. Mehta, Aashish & Chavas, Jean-Paul, 2008. "Responding to the coffee crisis: What can we learn from price dynamics?," Journal of Development Economics, Elsevier, vol. 85(1-2), pages 282-311, February.
    25. Ponte, Stefano, 2002. "The 'Latte Revolution'? Regulation, Markets and Consumption in the Global Coffee Chain," World Development, Elsevier, vol. 30(7), pages 1099-1122, July.
    26. Clarke, Kevin A., 2007. "A Simple Distribution-Free Test for Nonnested Model Selection," Political Analysis, Cambridge University Press, vol. 15(3), pages 347-363, July.
    27. Walsh, Gianfranco & Shiu, Edward & Hassan, Louise M. & Michaelidou, Nina & Beatty, Sharon E., 2011. "Emotions, store-environmental cues, store-choice criteria, and marketing outcomes," Journal of Business Research, Elsevier, vol. 64(7), pages 737-744, July.
    28. Reboredo, Juan C., 2012. "Do food and oil prices co-move?," Energy Policy, Elsevier, vol. 49(C), pages 456-467.
    29. Gaißer, Sandra & Ruppert, Martin & Schmid, Friedrich, 2010. "A multivariate version of Hoeffding's Phi-Square," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2571-2586, November.
    30. Sukcharoen, Kunlapath & Zohrabyan, Tatevik & Leatham, David & Wu, Ximing, 2014. "Interdependence of oil prices and stock market indices: A copula approach," Energy Economics, Elsevier, vol. 44(C), pages 331-339.
    31. Fabio Busetti & Andrew Harvey, 2011. "When is a Copula Constant? A Test for Changing Relationships," Journal of Financial Econometrics, Oxford University Press, vol. 9(1), pages 106-131, Winter.
    32. Nash, John C. & Varadhan, Ravi, 2011. "Unifying Optimization Algorithms to Aid Software System Users: optimx for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i09).
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