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Forecasting the spot prices of various coffee types using linear and non-linear error correction models

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Author Info

  • Costas Milas

    (Department of Economics, City University, UK)

  • Jes�s Otero

    (Facultad de Econom�a, Universidad del Rosario, Colombia)

  • Theodore Panagiotidis

    (Department of Economics, Loughborough University, UK)

Abstract

This paper estimates linear and non-linear error correction models for the spot prices of four different coffee types. In line with economic priors, we find some evidence that when prices are too high, they move back to equilibrium more slowly than when they are too low. This may reflect the fact that, in the short run, it is easier for countries to restrict the supply of coffee in order to raise prices, rather than increase supply in order to reduce them. Further, there is some evidence that adjustment is faster when deviations from the equilibrium level get larger. Our forecasting analysis suggests that asymmetric and polynomial error correction models offer weak evidence of improved forecasting performance relative to the random walk model. Copyright © 2004 John Wiley & Sons, Ltd.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal International Journal of Finance & Economics.

Volume (Year): 9 (2004)
Issue (Month): 3 ()
Pages: 277-288

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Handle: RePEc:ijf:ijfiec:v:9:y:2004:i:3:p:277-288

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  1. Costas Milas & Jesus Otero, 2002. "Smooth transition vector error correction models for the spot prices of coffee," Applied Economics Letters, Taylor and Francis Journals, vol. 9(14), pages 925-928.
  2. Escribano, Álvaro & Granger, C.W.J. (Clive William John), 1998. "Investigating the Relationship between Gold and Silver Prices," Open Access publications from Universidad Carlos III de Madrid info:hdl:10016/2558, Universidad Carlos III de Madrid.
  3. Francis X. Diebold & James M. Nason, 1989. "Nonparametric exchange rate prediction?," Finance and Economics Discussion Series 81, Board of Governors of the Federal Reserve System (U.S.).
  4. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
  5. Escribano, Álvaro & Pfann, Gerard, 1998. "Non-linear error correction, asymmetric adjustment and cointegration," Open Access publications from Universidad Carlos III de Madrid info:hdl:10016/2559, Universidad Carlos III de Madrid.
  6. Otero, J.G. & Milas, C., 1998. "Modeling The Behaviour of the Spot Prices of Various Types of Coffee," The Warwick Economics Research Paper Series (TWERPS) 524, University of Warwick, Department of Economics.
  7. Taylor, Mark P & Peel, David A & Sarno, Lucio, 2001. "Nonlinear Mean-Reversion in Real Exchange Rates: Toward a Solution to the Purchasing Power Parity Puzzles," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1015-42, November.
  8. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
  9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  10. Alvaro Escribano & Santiago Mira, 2001. "Nonlinear error correction models," Documentos de trabajo conjunto ULL-ULPGC 2001-03, Facultad de Ciencias Económicas de la ULPGC.
  11. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, March.
  12. Corden, W Max & Neary, J Peter, 1982. "Booming Sector and De-Industrialisation in a Small Open Economy," Economic Journal, Royal Economic Society, vol. 92(368), pages 825-48, December.
  13. Granger, C W J & Lee, T H, 1989. "Investigation of Production, Sales and Inventory Relationships Using Multicointegration and Non-symmetric Error Correction Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages S145-59, Supplemen.
  14. Anderson, Heather M, 1997. "Transaction Costs and Non-linear Adjustment towards Equilibrium in the US Treasury Bill Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 465-84, November.
  15. James B. Ramsey, 1996. "If Nonlinear Models Cannot Forecast, What Use Are They?," Studies in Nonlinear Dynamics & Econometrics, Berkeley Electronic Press, vol. 1(2), pages 1.
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