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
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