Forecasting Commodity Prices : Futures Versus Judgment /

This paper assesses the performance of three types of commodity price forecasts-those based on judgment, those relying exclusively on historical price data, and those incorporating prices implied by commodity futures. For most of the 15 commodities in the sample, spot and futures prices appear to be...

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Bibliographic Details
Main Author: Husain, Aasim
Other Authors: Bowman, Chakriya
Format: Journal
Language:English
Published: Washington, D.C. : International Monetary Fund, 2004.
Series:IMF Working Papers; Working Paper ; No. 2004/041
Online Access:Full text available on IMF
Description
Summary:This paper assesses the performance of three types of commodity price forecasts-those based on judgment, those relying exclusively on historical price data, and those incorporating prices implied by commodity futures. For most of the 15 commodities in the sample, spot and futures prices appear to be nonstationary and to form a cointegrating relation. Spot prices tend to move toward futures prices over the long run, and error-correction models exploiting this feature produce more accurate forecasts. The analysis indicates that on the basis of statistical- and directional-accuracy measures, futures-based models yield better forecasts than historical-data-based models or judgment, especially at longer horizons.
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Physical Description:1 online resource (28 pages)
Format:Mode of access: Internet
ISSN:1018-5941
Access:Electronic access restricted to authorized BRAC University faculty, staff and students