• DocumentCode
    550813
  • 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
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    1582
  • Lastpage
    1585
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001153