• DocumentCode
    3037124
  • Title

    Is International Oil Price Chaotic? - Empirical Evidence from Spot Market

  • Author

    Zhao, Lin ; Wang, Zhen ; Chen, Chuanying

  • Author_Institution
    Sch. of Bus. Adm., China Univ. of Pet., Beijing, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    621
  • Lastpage
    624
  • Abstract
    International oil market is presented as a complex system with non-linear characteristics, in which oil price is affected by a set of different factors. In order to test if the international oil price chaotic or not, the phase space reconstruction technique (PSRT) is used to reorder the time series, and the methods of improved G-P algorithm, non-bias autocorrelation, Wolf algorithm and correlation integral are applied respectively to obtain embedded dimensions, time delay, the largest Lyapunov exponent and Kolmogorov entropy. Empirical results demonstrate that international oil price is a nonlinear dynamic system with chaotic and fractal feature, so that traditional statistical models are not competent in accurate depiction of the underlying dynamics. Long-term prediction of oil price is of little credibility, while short-term prediction within the range of effective predictable time is practical and meaningful.
  • Keywords
    chaos; international trade; nonlinear dynamical systems; petroleum industry; pricing; time series; Kolmogorov entropy; Lyapunov exponent; Wolf algorithm; correlation integral; improved G-P algorithm; international oil market; international oil price chaotic; nonlinear dynamic system; phase space reconstruction technique; spot market; time series; Autocorrelation; Chaos; Delay effects; Entropy; Exchange rates; Fractals; Nonlinear dynamical systems; Petroleum; Supply and demand; Testing; chaos; fractal; oil price; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.146
  • Filename
    5208809