Forecasting long-term and short-term crude oil price: a comparison of the predictive abilities of competing models
Zhongbao Zhou,
Ke Duan,
Ling Lin and
Qianying Jin
International Journal of Global Energy Issues, 2015, vol. 38, issue 4/5/6, 286-297
Abstract:
In this paper, we apply several models to forecast the WTI monthly crude oil price from the long-term and short-term aspects. Then we use several diagnostic assessments to check the predictive abilities of the competing models. The results show that EGARCH model is more suitable for the short-term forecast, while the TARCH model is more appropriate for forecasting long-term oil price than other models.
Keywords: WTI crude oil prices; price forecasting; predictive ability; long-term forecasts; short-term forecasts; EGARCH models; TARCH models; modelling. (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=70267 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijgeni:v:38:y:2015:i:4/5/6:p:286-297
Access Statistics for this article
More articles in International Journal of Global Energy Issues from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().