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Forecasting and Analyzing World Commodity Prices Author info | Abstract | Publisher info | Download info | Related research | Statistics René Lalonde
Zhenhua Zhu
Frédérick Demers
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The authors develop simple econometric models to analyze and forecast two components of the Bank of Canada commodity price index: the Bank of Canada non-energy (BCNE) commodity prices and the West Texas Intermediate crude oil price. They present different methodologies to identify transitory and permanent components of movements in these prices. A structural vector autoregressive model is used for real BCNE prices and a multiple structural-break technique is employed for real crude oil prices. The authors use these transitory and permanent components to develop forecasting models. They assess various aspects of the models' performance. Their main results indicate that: (i) the world economic activity and real U.S.-dollar effective exchange rate explain much of the cyclical variation of real BCNE prices, (ii) real crude oil prices have two structural breaks over the sample period, and recently their link with the world economic activity has been quite strong, and (iii) the models outperform benchmark models, namely a vector autoregressive model, an autoregressive model, and a random-walk model, in terms of out-of-sample forecasting.
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Paper provided by Bank of Canada in its series Working Papers with number
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Length: 41 pages
Date of creation: 2003Date of revision:
Handle: RePEc:bca:bocawp:03-24Contact details of provider: Postal: 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada Phone: 613 782-8899 Fax: 613 782-8874 Web page: http://www.bank-banque-canada.ca/
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Keywords: Econometric and statistical methods ; Other versions of this item:
Find related papers by JEL classification: C5 - Mathematical and Quantitative Methods - - Econometric Modeling
This paper has been announced in the following NEP Reports :
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references Cited by : (explanations , 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.)
Rene Lalonde & Dirk Muir, 2007.
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