Forecasting the spot prices of various coffee types using linear and non-linear error correction models
AbstractThis 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 InfoArticle provided by John Wiley & Sons, Ltd. in its journal International Journal of Finance & Economics.
Volume (Year): 9 (2004)
Issue (Month): 3 ()
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Web page: http://www.interscience.wiley.com/jpages/1076-9307/
Other versions of this item:
- Costas Milas & Jesus Otero & Theodore Panagiotidis, 2001. "Forecasting the spot prices of various coffee types using linear and non-linear error correction models," BORRADORES DE INVESTIGACIÓN 002737, UNIVERSIDAD DEL ROSARIO.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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