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

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 sho...

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Bibliographic Details
Published in:International journal of energy economics and policy 2019-01, Vol.9 (1), p.149
Main Authors: Nyangarika, Anthony, Mikhaylov, Alexey, Ulf Henning Richter
Format: Article
Language:English
Subjects:
Crude oil prices
Price increases
Online Access:Get full text
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Summary: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.
ISSN:2146-4553
2146-4553
DOI:10.32479/ijeep.6812