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Testing for bubbles in agriculture commodity markets

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  • Areal, Francisco José
  • Balcombe, Kevin
  • Rapsomanikis, George

Abstract

[EN] We apply the recent generalized sup augmented Dickey-Fuller (GSADF) test for explo-sive bubbles (Phillips et al., 2012) to monthly time-series for food, beverages, agricultural raw material, cereals, dairy, meat, oils and sugar indices and a total of 28 agricultural commodities between 1980-2012. We found price bubbles occurred for 6 out of the 10 indices studied and for 6 out of the 28 commodities within food markets. Results from the tests can help implementing policies aimed at mitigating effects of future price bubbles to targeted food commodity markets that may require special attention. [ES] Aquí aplicamos un test estadístico recientemente desarrollado para la identificación de bur-bujas explosivas, generalized sup augmented Dickey-Fuller (GSADF) test (Phillips et al., 2012) a series temporales mensuales de indicadores de precios de alimentos, bebidas, materias primas agrícolas, cere-ales, productos lácteos, productos cárnicos, aceites y azúcar así como para un total de 28 productos agrí-colas durante el período 1980-2012. Se han encontrado burbujas en los precios para 6 de los 10 índices y para 6 de los 28 productos alimenticios estudiados. Los resultados de estos tests pueden ayudar a llevar a cabo políticas que tengan como objetivo mitigar los efectos de futuras burbujas explosivas en mercados de productos agrícolas identificados como aquellos puedan requerir una atención especial.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:earnsa:241272
    DOI: 10.22004/ag.econ.241272
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    1. Angus Deaton & Guy Laroque, 1992. "On the Behaviour of Commodity Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(1), pages 1-23.
    2. Tirole, Jean, 1982. "On the Possibility of Speculation under Rational Expectations," Econometrica, Econometric Society, vol. 50(5), pages 1163-1181, September.
    3. Beddow, Jason M. & Pardey, Philip G. & Alston, Julian M., 2009. "The Shifting Global Patterns of Agricultural Productivity," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 24(4), pages 1-10.
    4. 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.
    5. Grilli, Enzo R & Yang, Maw Cheng, 1988. "Primary Commodity Prices, Manufactured Goods Prices, and the Terms of Trade of Developing Countries: What the Long Run Shows," The World Bank Economic Review, World Bank, vol. 2(1), pages 1-47, January.
    6. Peter C. B. Phillips & Jun Yu, 2011. "Dating the timeline of financial bubbles during the subprime crisis," Quantitative Economics, Econometric Society, vol. 2(3), pages 455-491, November.
    7. Dwight R. Sanders & Scott H. Irwin, 2010. "A speculative bubble in commodity futures prices? Cross‐sectional evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 25-32, January.
    8. Chris Brooks & Apostolos Katsaris, 2005. "A Three-Regime Model of Speculative Behaviour: Modelling the Evolution of the S&P 500 Composite Index," Economic Journal, Royal Economic Society, vol. 115(505), pages 767-797, July.
    9. Phillips, Peter C.B. & Magdalinos, Tassos, 2007. "Limit theory for moderate deviations from a unit root," Journal of Econometrics, Elsevier, vol. 136(1), pages 115-130, January.
    10. Froot, Kenneth A & Obstfeld, Maurice, 1991. "Intrinsic Bubbles: The Case of Stock Prices," American Economic Review, American Economic Association, vol. 81(5), pages 1189-1214, December.
    11. 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 Limited, vol. 73(1), pages 179-200, May.
    12. Dwight R. Sanders & Scott H. Irwin, 2011. "New Evidence on the Impact of Index Funds in U.S. Grain Futures Markets," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 59(4), pages 519-532, December.
    13. Pengfei Wang & Yi Wen, 2012. "Speculative Bubbles and Financial Crises," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 184-221, July.
    14. Irwin, Scott H. & Sanders, Dwight R. & Merrin, Robert P., 2009. "Devil or Angel? The Role of Speculation in the Recent Commodity Price Boom (and Bust)," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(2), August.
    15. Kurosaki, Takashi & Fafchamps, Marcel, 2002. "Insurance market efficiency and crop choices in Pakistan," Journal of Development Economics, Elsevier, vol. 67(2), pages 419-453, April.
    16. Jean-Paul Chavas & David Hummels & Brian D. Wright, 2014. "The Economics of Food Price Volatility," NBER Books, National Bureau of Economic Research, Inc, number chav12-1.
    17. Gustafson, Robert L., 1958. "Carryover levels for grains: A method for determining amounts that are optimal under specified conditions," Technical Bulletins 157231, United States Department of Agriculture, Economic Research Service.
    18. 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).
    19. Paul Cashin & Hong Liang & C. John McDermott, 2000. "How Persistent Are Shocks to World Commodity Prices?," IMF Staff Papers, Palgrave Macmillan, vol. 47(2), pages 1-2.
    20. Larson, Donald F. & Plessmann, Frank, 2002. "Do farmers chooseto be inefficient? evidence from Bicol, Philippines," Policy Research Working Paper Series 2787, The World Bank.
    21. 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.
    22. Diba, Behzad T & Grossman, Herschel I, 1988. "The Theory of Rational Bubbles in Stock Prices," Economic Journal, Royal Economic Society, vol. 98(392), pages 746-754, September.
    23. Philip Abbott, 2014. "Biofuels, Binding Constraints, and Agricultural Commodity Price Volatility," NBER Chapters, in: The Economics of Food Price Volatility, pages 91-131, National Bureau of Economic Research, Inc.
    24. von Braun, Joachim & Torero, Maximo, 2009. "Implementing physical and virtual food reserves to protect the poor and prevent market failure:," Policy briefs 10, International Food Policy Research Institute (IFPRI).
    25. 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.
    26. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2014. "Bubbles in food commodity markets: Four decades of evidence," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 129-155.
    27. Nishant Dass & Massimo Massa & Rajdeep Patgiri, 2008. "Mutual Funds and Bubbles: The Surprising Role of Contractual Incentives," The Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 51-99, January.
    28. Pindyck, Robert S & Rotemberg, Julio J, 1990. "The Excess Co-movement of Commodity Prices," Economic Journal, Royal Economic Society, vol. 100(403), pages 1173-1189, December.
    29. Balcombe, Kelvin, 2009. "The Nature and Determinants of Volatility in Agricultural Prices," MPRA Paper 24819, University Library of Munich, Germany.
    30. Madhu Khanna & Jürgen Scheffran & David Zilberman (ed.), 2010. "Handbook of Bioenergy Economics and Policy," Natural Resource Management and Policy, Springer, number 978-1-4419-0369-3, March.
    31. Larson, Donald F. & Plessmann, Frank, 2009. "Do farmers choose to be inefficient? Evidence from Bicol," Journal of Development Economics, Elsevier, vol. 90(1), pages 24-32, September.
    32. Evans, George W, 1991. "Pitfalls in Testing for Explosive Bubbles in Asset Prices," American Economic Review, American Economic Association, vol. 81(4), pages 922-930, September.
    33. Kelvin Balcombe & George Rapsomanikis, 2008. "Bayesian Estimation and Selection of Nonlinear Vector Error Correction Models: The Case of the Sugar-Ethanol-Oil Nexus in Brazil," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 658-668.
    34. Luciano Gutierrez, 2013. "Speculative bubbles in agricultural commodity markets-super- †," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(2), pages 217-238, March.
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    Cited by:

    1. Etienne, Xiaoli L., 2015. "Financialization of Agricultural Commodity Markets: Do Financial Data Help to Forecast Agricultural Prices?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205124, Agricultural and Applied Economics Association.
    2. 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.
    3. Rosa, Franco & Vasciaveo, Michela & Weaver, Robert D., 2014. "Agricultural and oil commodities: price transmission and market integration between US and Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-25, August.
    4. Fantazzini, Dean, 2016. "The oil price crash in 2014/15: Was there a (negative) financial bubble?," Energy Policy, Elsevier, vol. 96(C), pages 383-396.
    5. Fatima, Hira & Ahmed, Mumtaz, 2019. "Testing for Exuberance Behavior in Agricultural Commodities of Pakistan," MPRA Paper 95304, University Library of Munich, Germany.
    6. Itamar Caspi & Nico Katzke & Rangan Gupta, 2014. "Date stamping historical oil price bubbles: 1876 - 2014," Working Papers 20/2014, Stellenbosch University, Department of Economics.
    7. Caramugan, Karlo Martin & Bayacag, Purisima, 2016. "Price Bubble in Selected ASEAN Agricultural Exports: An Application of the Generalized Supremum Augmented Dickey Fuller," MPRA Paper 74807, University Library of Munich, Germany.
    8. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96847, University Library of Munich, Germany.
    9. Kübra Akyol Özcan, 2023. "Food Price Bubbles: Food Price Indices of Turkey, the FAO, the OECD, and the IMF," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    10. Caspi, Itamar & Katzke, Nico & Gupta, Rangan, 2018. "Date stamping historical periods of oil price explosivity: 1876–2014," Energy Economics, Elsevier, vol. 70(C), pages 582-587.
    11. Laurie Binge & Willem H Boshoff, 2016. "Modelling South African Art Prices: An analysis of post-2000 price behaviour," Working Papers 18/2016, Stellenbosch University, Department of Economics.
    12. repec:ipg:wpaper:2014-586 is not listed on IDEAS
    13. El Montasser, Ghassen & Malek Belhoula, Mohamed & Charfeddine, Lanouar, 2023. "Co-explosivity versus leading effects: Evidence from crude oil and agricultural commodities," Resources Policy, Elsevier, vol. 81(C).
    14. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96705, University Library of Munich, Germany.
    15. Kräussl, Roman & Lehnert, Thorsten & Martelin, Nicolas, 2016. "Is there a bubble in the art market?," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 99-109.
    16. Binge, Laurie H. & Boshoff, Willem H., 2021. "Measuring alternative asset prices in an emerging market: The case of the South African art market," Emerging Markets Review, Elsevier, vol. 47(C).
    17. Koy, Ayben, 2018. "Testing Multi Bubbles for Commodity Derivative Markets: A Study on MCX," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 9(2), pages 291-299, April.
    18. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    19. Irwin, Scott H., 2020. "Trilogy for troubleshooting convergence: Manipulation, structural imbalance, and storage rates," Journal of Commodity Markets, Elsevier, vol. 17(C).
    20. Moreno-Pérez, Olga M. & Marcossi, Gisele P.C. & Ortiz-Miranda, Dionisio, 2017. "Taking stock of the evolution of the biodiesel industry in Brazil: Business concentration and structural traits," Energy Policy, Elsevier, vol. 110(C), pages 525-533.

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    More about this item

    Keywords

    Demand and Price Analysis;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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