The Long-Run Forecasting of Energy Prices Using the Model of Shifting Trend
AbstractThis paper constructs long-term forecasts of energy prices using a reduced form model of shifting trend developed by Pindyck (1999). A Gibbs sampling algorithm is developed to estimate models with a shifting trend line which are used to construct 10-period-ahead and 15-period ahead forecasts. An advantage of forecasts from this model is that they are not very influenced by the presence of large, long-lived increases and decreases in energy prices. The forecasts form shifting trends model are combined with forecasts from the random walk model and the autoregressive model to substantially decrease the mean forecast squared error compared to each individual model.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by EconWPA in its series Econometrics with number 0502002.
Length: 29 pages
Date of creation: 04 Feb 2005
Date of revision:
Note: Type of Document - pdf; pages: 29
Contact details of provider:
Web page: http://184.108.40.206
energy forecasting; oil price; coal price; natural gas price; shifting trends model; long term forecasting;
Find related papers by JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-04-16 (All new papers)
- NEP-ECM-2005-04-16 (Econometrics)
- NEP-ENE-2005-04-16 (Energy Economics)
- NEP-ETS-2005-04-16 (Econometric Time Series)
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.:
- Dees, Stephane & Karadeloglou, Pavlos & Kaufmann, Robert K. & Sanchez, Marcelo, 2007. "Modelling the world oil market: Assessment of a quarterly econometric model," Energy Policy, Elsevier, vol. 35(1), pages 178-191, January.
- Lin Chan, Hing & Kam Lee, Shu, 1997. "Modelling and forecasting the demand for coal in China," Energy Economics, Elsevier, vol. 19(3), pages 271-287, July.
- Jean-Thomas Bernard & Lynda Khalaf & Maral Kichian, 2004. "Structural Change and Forecasting Long-Run Energy Prices," Working Papers 04-5, Bank of Canada.
- Paul Cashin & C. John McCDermott, 2002.
"The Long-Run Behavior of Commodity Prices: Small Trends and Big Variability,"
IMF Staff Papers,
Palgrave Macmillan, vol. 49(2), pages 2.
- Paul Cashin & C. John McDermott, 2001. "The Long-Run Behavior of Commodity Prices: Small Trends and Big Variability," IMF Working Papers 01/68, International Monetary Fund.
- Marwan Chacra, 2002. "Oil-Price Shocks and Retail Energy Prices in Canada," Working Papers 02-38, Bank of Canada.
- Maslyuk, Svetlana & Smyth, Russell, 2008.
"Unit root properties of crude oil spot and futures prices,"
Elsevier, vol. 36(7), pages 2591-2600, July.
- Svetlana Maslyuk & Russell Smyth, 2007. "Unit Root Properties of Crude Oil Spot and Futures Prices," Monash Economics Working Papers 40-07, Monash University, Department of Economics.
- Giliola Frey & Matteo Manera & Anil Markandya & Elisa Scarpa, 2009. "Econometric Models for Oil Price Forecasting: A Critical Survey," CESifo Forum, Ifo Institute for Economic Research at the University of Munich, vol. 10(1), pages 29-44, 04.
- Matteo Manera & Chiara Longo & Anil Markandya & Elisa Scarpa, 2007. "Evaluating the Empirical Performance of Alternative Econometric Models for Oil Price Forecasting," Working Papers 2007.4, Fondazione Eni Enrico Mattei.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA).
If references are entirely missing, you can add them using this form.