An econometric modeling approach to short-term crude oil price forecasting

Weiqi Li*, Linwei Ma, Yaping Dai, Pei Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 30th Chinese Control Conference, CCC 2011
Pages1582-1585
Number of pages4
Publication statusPublished - 2011
Event30th Chinese Control Conference, CCC 2011 - Yantai, China
Duration: 22 Jul 201124 Jul 2011

Publication series

NameProceedings of the 30th Chinese Control Conference, CCC 2011

Conference

Conference30th Chinese Control Conference, CCC 2011
Country/TerritoryChina
CityYantai
Period22/07/1124/07/11

Keywords

  • Crude Oil Price
  • Econometric Model
  • Forecasting

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