Title :
An econometric modeling approach to short-term crude oil price forecasting
Author :
Li Weiqi ; Ma Linwei ; Dai Yaping ; Liu Pei
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol. Univ., Beijing, China
Abstract :
In the competitive petroleum markets, oil price forecasting is becoming increasingly relevant to producers and consumers. This paper develops a structural econometric model of the Brent crude spot price using the explanatory variable of defined relative inventory and OPEC production to analyze and forecast short-run oil price. A Hodrick-Prescott filter method presented obtains the relative inventory variables caused by the short-run supply and demand fluctuations in the crude oil market. A case study using the proposed method is provided, and the results indicate that the model developed in this work is helpful to industry and government in making oil-related decisions and investigating the changes in inventory and OPEC production on price.
Keywords :
crude oil; econometrics; forecasting theory; inventory management; petroleum industry; pricing; supply and demand; Brent crude spot price; Hodrick-Prescott filter method; OPEC production; competitive petroleum market; relative inventory; short-term crude oil price forecasting; structural econometric model; supply-and-demand fluctuation; Autoregressive processes; Correlation; Economics; Forecasting; Petroleum; Predictive models; Production; Crude Oil Price; Econometric Model; Forecasting;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768