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Future world market prices of milk and feed looking into the crystal ball

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  • Hansen, Bjørn Gunnar

    (TINE SA, Oslo, Norway)

  • Li, Yushu

    (Dept. of Business and Management Science, Norwegian School of Economics)

Abstract

Both the world milk price and the world feed price have become more volatile during the last 7-8 years. The ability of dairy farmers to adapt quickly to these changing circumstances will be a key driver for future success, considering that feed is the major cost component in milk production and that the milk market is highly volatile. This development has increased the need for research on price dynamics and price forecasting. The first aim of this paper is to apply the wavelet multi-resolution analysis (MRA) to investigate the cyclical dynamics embedded in and between the world milk and feed prices. Second, the aim is to explore both the long and short interactions and the impulse response functions (IRF) between the two price series in the system of a vector error correction model (VECM). Third, the aim is to produce reliable forecasts for both the milk and the feed price applying a SARIMA model, a VECM model and wavelet MRA. We collected the world milk price and the world feed price series from 2002 to 2015 from the International Farm Comparison Network (IFCN). The analysis revealed that the two price series contain business cycles of approximately 32 months. Further, the two series share a long-run relationship, they are co-integrated, with the feed price as the leading variable. The results also revealed that a combination of different forecasting models can provide reasonably good forecasts of both prices for a period of one year ahead.

Suggested Citation

  • Hansen, Bjørn Gunnar & Li, Yushu, 2015. "Future world market prices of milk and feed looking into the crystal ball," Discussion Papers 2015/17, Norwegian School of Economics, Department of Business and Management Science.
    • Handle: RePEc:hhs:nhhfms:2015_017
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    File URL: http://hdl.handle.net/11250/281473
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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Christoph Schleicher, 2002. "An Introduction to Wavelets for Economists," Staff Working Papers 02-3, Bank of Canada.
    3. Teresa Serra & David Zilberman & José Gil, 2011. "Price volatility in ethanol markets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 259-280, June.
    4. Hikaru Hanawa Peterson & William G. Tomek, 2005. "How much of commodity price behavior can a rational expectations storage model explain?," Agricultural Economics, International Association of Agricultural Economists, vol. 33(3), pages 289-303, November.
    5. Christopher Gilbert & Wyn Morgan, 2010. "Has food price volatility risen?," Department of Economics Working Papers 1002, Department of Economics, University of Trento, Italia.
    6. Maros Ivanic & Will Martin, 2008. "Implications of higher global food prices for poverty in low‐income countries1," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 405-416, November.
    7. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    8. repec:zbw:bofrdp:2005_001 is not listed on IDEAS
    9. Tomek, William G. & Peterson, Hikaru Hanawa, 2000. "Risk Management in Agricultural Markets: A Survey," Staff Papers 121140, Cornell University, Department of Applied Economics and Management.
    10. Yousefi, Shahriar & Weinreich, Ilona & Reinarz, Dominik, 2005. "Wavelet-based prediction of oil prices," Chaos, Solitons & Fractals, Elsevier, vol. 25(2), pages 265-275.
    11. Larson, Arnold B., 1960. "Measurement of a Random Process in Futures Prices," WAEA/ WFEA Conference Archive (1929-1995) 323441, Western Agricultural Economics Association.
    12. Tashman, Leonard J., 2000. "Out-of-sample tests of forecasting accuracy: an analysis and review," International Journal of Forecasting, Elsevier, vol. 16(4), pages 437-450.
    13. Wang, Zijun & Bessler, David A., 2004. "Forecasting performance of multivariate time series models with full and reduced rank: an empirical examination," International Journal of Forecasting, Elsevier, vol. 20(4), pages 683-695.
    14. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    15. Evelyn V. Colino & Scott H. Irwin & Philip Garcia, 2011. "Improving the accuracy of outlook price forecasts," Agricultural Economics, International Association of Agricultural Economists, vol. 42(3), pages 357-371, May.
    16. Zhang, Zibin & Lohr, Luanne & Escalante, Cesar & Wetzstein, Michael, 2010. "Food versus fuel: What do prices tell us?," Energy Policy, Elsevier, vol. 38(1), pages 445-451, January.
    17. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    18. Ivanic, Maros & Martin, Will, 2008. "Implications of higher global food prices for poverty in low-income countries," Policy Research Working Paper Series 4594, The World Bank.
    19. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    20. Kang, In-Bong, 2003. "Multi-period forecasting using different models for different horizons: an application to U.S. economic time series data," International Journal of Forecasting, Elsevier, vol. 19(3), pages 387-400.
    21. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    22. Gloria Martín-Rodríguez & José Juan Cáceres-Hernández, 2012. "Forecasting pseudo-periodic seasonal patterns in agricultural prices," Agricultural Economics, International Association of Agricultural Economists, vol. 43(5), pages 531-544, September.
    23. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275, January.
    24. Hirotugu Akaike, 1969. "Fitting autoregressive models for prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 21(1), pages 243-247, December.
    25. Hochman, Gal & Rajagopal, Deepak & Timilsina, Govinda & Zilberman, David, 2011. "The role of inventory adjustments in quantifying factors causing food price inflation," Policy Research Working Paper Series 5744, The World Bank.
    26. Marin Bozic & Christopher A. Kanter & Brian W. Gould, 2012. "Tracing the evolution of the aggregate U.S. milk supply elasticity using a herd dynamics model," Agricultural Economics, International Association of Agricultural Economists, vol. 43(5), pages 515-530, September.
    27. Herve Ott, 2014. "Volatility in Cereal Prices: Intra- Versus Inter-annual Volatility," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(3), pages 557-578, September.
    28. Larson, Arnold B., 1960. "Measurement of a Random Process in Futures Prices," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 1(3), pages 1-12.
    29. Chatrath, Arjun & Adrangi, Bahram & Dhanda, Kanwalroop Kathy, 2002. "Are commodity prices chaotic?," Agricultural Economics, Blackwell, vol. 27(2), pages 123-137, August.
    30. William G. Tomek & Hikaru Hanawa Peterson, 2001. "Risk Management in Agricultural Markets: A Review," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(10), pages 953-985, October.
    31. Allen, P. Geoffrey, 1994. "Economic forecasting in agriculture," International Journal of Forecasting, Elsevier, vol. 10(1), pages 81-135, June.
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    More about this item

    Keywords

    Agricultural economics; forecast; wavelet MRA; VECM;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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