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An Analysis of Past World Market Prices of Feed and Milk and Predictions for the Future

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  • Bjørn Gunnar Hansen
  • Yushu Li

Abstract

ABSTRACT Understanding of price behavior is a critical element to make decisions in uncertain conditions that significantly influence the return of dairy market participants. Increased variability in both the world milk price and the world feed price during the last 7‐8 years has increased the need for research on price dynamics and price forecasting. The aims of this paper are to explore the dynamics embedded in and between the world milk and feed prices, and to produce reliable forecasts for both prices. 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 are co‐ integrated, with the feed price as the leading variable. A combination of three different forecasting models can provide reasonably good forecasts of both prices.

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  • Bjørn Gunnar Hansen & Yushu Li, 2017. "An Analysis of Past World Market Prices of Feed and Milk and Predictions for the Future," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 175-193, April.
  • Handle: RePEc:wly:agribz:v:33:y:2017:i:2:p:175-193
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    File URL: http://hdl.handle.net/10.1002/agr.21474
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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. 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.
    3. Gallegati, Marco, 2008. "Wavelet analysis of stock returns and aggregate economic activity," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3061-3074, February.
    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. Robert J. Myers & Richard J. Sexton & William G. Tomek, 2010. "A Century of Research on Agricultural Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 376-403.
    7. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    8. Yousefi, Shahriar & Weinreich, Ilona & Reinarz, Dominik, 2005. "Wavelet-based prediction of oil prices," Chaos, Solitons & Fractals, Elsevier, vol. 25(2), pages 265-275.
    9. Yushu Li & Simon Reese, 2014. "Wavelet improvement in turning point detection using a hidden Markov model: from the aspects of cyclical identification and outlier correction," Computational Statistics, Springer, vol. 29(6), pages 1481-1496, December.
    10. Li, Yushu & Reese, Simon, 2012. "Wavelet Improvement in Turning Point Detection using a Hidden Markov Model," Working Papers 2012:14, Lund University, Department of Economics, revised 05 Apr 2014.
    11. Li, Yushu, 2013. "Wavelet based outlier correction for power controlled turning point detection in surveillance systems," Economic Modelling, Elsevier, vol. 30(C), pages 317-321.
    12. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    13. Yushu Li, 2015. "Estimate Long Memory Causality Relationship by Wavelet Method," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 531-544, April.
    14. Yushu Li & Ghazi Shukur, 2013. "Testing for Unit Roots in Panel Data Using a Wavelet Ratio Method," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 59-69, January.
    15. Charles F. Nicholson & Mark W. Stephenson, 2015. "Milk Price Cycles in the U.S. Dairy Supply Chain and Their Management Implications," Agribusiness, John Wiley & Sons, Ltd., vol. 31(4), pages 507-520, October.
    16. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    17. 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.
    18. 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.
    19. Fan, Yanqin & Gençay, Ramazan, 2010. "Unit Root Tests With Wavelets," Econometric Theory, Cambridge University Press, vol. 26(5), pages 1305-1331, October.
    20. 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.
    21. Hansen, Bjørn Gunnar, 2015. "Different methods to forecast milk delivery to dairy: a comparison for forecasting," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(3), April.
    22. Teresa Serra & David Zilberman & José M. Gil & Barry K. Goodwin, 2011. "Nonlinearities in the U.S. corn‐ethanol‐oil‐gasoline price system," Agricultural Economics, International Association of Agricultural Economists, vol. 42(1), pages 35-45, January.
    23. Allen, P. Geoffrey, 1994. "Economic forecasting in agriculture," International Journal of Forecasting, Elsevier, vol. 10(1), pages 81-135, June.
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