Modelling the Errors of EIA's Oil Prices and Production Forecasts by the Grey Markov Model

Authors

  • Gholam Hossein Hasantash Institute for International Energy Studies
  • Hamidreza Mostafaei Department of Economics Energy, Institute for International Energy Studies (IIES), (Affiliated to Ministry of Petroleum)& Department of Mathematics, Faculty of Science, Shahid Rajaei Teacher Training University, Tehran,
  • Shaghayegh Kordnoori M.Sc. Statistics of Tehran North Branch, Islamic Azad University & statistics expert of Research nstitute for ICT,Tehran, ISLAMIC REPUBLIC OF IRAN.

Abstract

 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.Keywords: Grey theory; Grey Markov model; EIA; OilJEL Classifications: C15; C53; C63  

Downloads

Download data is not yet available.

Downloads

Additional Files

Published

2012-06-12

How to Cite

Hasantash, G. H., Mostafaei, H., & Kordnoori, S. (2012). Modelling the Errors of EIA’s Oil Prices and Production Forecasts by the Grey Markov Model. International Journal of Economics and Financial Issues, 2(3), 312–319. Retrieved from https://econjournals.com/index.php/ijefi/article/view/212

Issue

Vol. 2 No. 3 (2012)

Section

Articles
Views
  • Abstract 175
  • PDF 164
  • Untitled 0