Oil Price Factors: Forecasting on the Base of Modified Auto-regressive Integrated Moving Average Model

Authors

  • Anthony Nyangarika School of Management and Economics, Beijing Institute of Technology
  • Alexey Mikhaylov Financial University under the Government of the Russian Federation
  • Ulf Henning Richter

Abstract

The paper proposes modification of auto-regressive integrated moving average model for finding the parameters of estimation and forecasts using exponential smoothing. The study use data Brent crude oil price and gas prices in the period from January 1991 to December 2016. The result of the study showed an improvement in the accuracy of the predicted values, while the emissions occurred near the end of the time series. It has minimal or no effect on other emissions of this data series. The study suggests that investors can predict prices analyzing the possible risks in oil futures markets.Keywords: Auto-regressive Integrated Moving Average Model; Econometric Model; Oil Price ForecastJEL Classifications: C51, C58, F31, G12, G15DOI: https://doi.org/10.32479/ijeep.6812

Downloads

Download data is not yet available.

Downloads

Published

2018-12-07

How to Cite

Nyangarika, A., Mikhaylov, A., & Richter, U. H. (2018). Oil Price Factors: Forecasting on the Base of Modified Auto-regressive Integrated Moving Average Model. International Journal of Energy Economics and Policy, 9(1), 149–159. Retrieved from https://econjournals.com.tr/index.php/ijeep/article/view/6812

Issue

Vol. 9 No. 1 (2019)

Section

Articles

License

Submission of an article implies that the work described has not been published previously , that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication.