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Modelling and Forecasting Oil Prices: The Role of Asymmetric Cycles Author info | Abstract | Publisher info | Download info | Related research | Statistics Jesus Crespo Cuaresma ()
Adusei Jumah ()
Sohbet Karbuz ()
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We propose a new time series model aimed at forecasting crude oil prices. The proposed specification is an unobserved components model with an asymmetric cyclical component. The asymmetric cycle is defined as a sine-cosine wave where the frequency of the cycle depends on past oil price observations. We show that oil price forecasts improve significantly when this asymmetry is explicitly modelled.
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Paper provided by Faculty of Economics and Statistics, University of Innsbruck in its series Working Papers with number
2007-22.
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Keywords: Oil price forecasting nonlinear time series analysis asymmetric cycles. Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models O13 - Economic Development, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Jesus Crespo Cuaresma, 2003.
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[Downloadable!]
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[Downloadable!]
Diebold, Francis X & Mariano, Roberto S, 1995.
"Comparing Predictive Accuracy ,"
Journal of Business & Economic Statistics ,
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Other versions:
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