Modelling the Errors of EIA’s Oil Prices and Production Forecasts by the Grey Markov Model
Grey theory is about systematic analysis of limited information. The Grey-Markov model can improve the accuracy of forecast range in the random fluctuating data sequence. In this paper, we employed this model in energy system. The average errors of Energy Information Administrations predictions for world oil price and domestic crude oil production from 1982 to 2007 and from 1985 to 2008 respectively were used as two forecasted examples. We showed that the proposed Grey-Markov model can improve the forecast accuracy of original Grey forecast model.
Volume (Year): 2 (2012)
Issue (Month): 3 ()
|Contact details of provider:|| Web page: http://www.econjournals.com|
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.:
- Kumar, Ujjwal & Jain, V.K., 2010. "Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India," Energy, Elsevier, vol. 35(4), pages 1709-1716.
- Auffhammer, Maximilian, 2007.
"The rationality of EIA forecasts under symmetric and asymmetric loss,"
Resource and Energy Economics,
Elsevier, vol. 29(2), pages 102-121, May.
- Auffhammer, Maximilian, 2005. "The rationality of EIA forecasts under symmetric and asymmetric loss," CUDARE Working Paper Series 1009, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
When requesting a correction, please mention this item's handle: RePEc:eco:journ1:2012-03-9. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ilhan Ozturk)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.