Xu, Haiyan and Zhang, ZhongXiang (2010): A trend deduction model of fluctuating oil prices.
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Crude oil prices have been fluctuating over time and by a large range. It is the disorganization of oil price series that makes it difficult to deduce the changing trends of oil prices in the middle- and long-terms and predict their price levels in the short-term. Following a price-state classification and state transition analysis of changing oil prices from January 2004 to August 2009, this paper first verifies that the observed crude oil price series during the soaring period follow a Markov Chain. Next, the paper deduces the changing trends of oil prices by the limit probability of a Markov Chain. We then undertake a probability distribution analysis and find that the oil price series have a log-normality distribution. On this basis, we integrate the two models to deduce the changing trends of oil prices from the short-term to the middle- and long-terms, thus making our deduction academically sound. Our results match the actual changing trends of oil prices, and show the possibility of re-emerging soaring oil prices.
|Item Type:||MPRA Paper|
|Original Title:||A trend deduction model of fluctuating oil prices|
|Keywords:||Oil price; Log-normality distribution; Limit probability of a Markov Chain; Trend deduction model; OPEC|
|Subjects:||Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q4 - Energy > Q41 - Demand and Supply
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C12 - Hypothesis Testing: General
F - International Economics > F0 - General > F01 - Global Outlook
Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q4 - Energy > Q47 - Energy Forecasting
O - Economic Development, Technological Change, and Growth > O1 - Economic Development > O13 - Agriculture; Natural Resources; Energy; Environment; Other Primary Products
C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C49 - Other
|Depositing User:||ZhongXiang Zhang|
|Date Deposited:||24. Nov 2010 13:35|
|Last Modified:||12. Feb 2013 21:15|
Arimoto, S. (1985), The Contemporary Information Theory, Posts & Telecom Press, Beijing, pp. 33-38.
Associated Press (2009), Analyst: $200 Oil Could Happen This Year, May 6, Available at: http://www.msnbc.msn.com/id/24482312/ns/business-autos.
Fisz, M. (1980), Probability Theory and Mathematical Statistics, 3rd Edition, Krieger Publishing, Huntington, New York.
Holmes, M.J. and P. Wang (2003), Oil Price Shocks and the Asymmetric Adjustment of UK Output: a Markov-switching Approach, International Review of Applied Economics, Vol. 17, No. 2, pp.181–192.
Jing, Y., Wang, S., and Q. Yuan (1986), The Application of Markov Process in Geology, Geological Publishing House, Beijing, pp. 48-50.
Kosobud, R.F. and H. H. Stokes (1978), Oil Market Share Dynamics: A Markov Chain Analysis of Consumer and Producer Adjustments, Empirical Economics, Vol. 3, No. 4, pp. 253-275.
Lu, D. (1987), Stochastic Process and Application, Tsinghua Press, Beijing, pp. 38-44.
Organization of the Petroleum Exporting Countries (OPEC, 2010), OPEC Basket Price, Geneva, Available at: http://www.opec.org/opec_web/en/data_graphs/40.htm.
Song, D. (2005), The Applications of Markov Law in Predicting the Price of Petroleum, Value Engineering, No.12, pp.105-106.
Vo, M.T. (2009), Regime-switching Stochastic Volatility: Evidence from the Crude Oil Market, Energy Economics, Vol. 31, No. 5, pp.779-788.
Wang, Z. (1979), Basics of Probability Theory and its Application, China Science Press, Beijing, pp.181-188.
Wei, W., Chen, Z. and J. Wang (2006), A Research on the Three States Markov-Switching Mode - An Application in the Analysis of World Oil Price Fluctuation, The Study of Finance and Economics, No.6, pp.120-131
Xu, H. (2001), The Application of Markov Chain in the Research of Import Commodities Market in Kazakstan, in M.M. Shyngysbaeva (ed.), Kazakstan Economic Reform: Experience, Theory and Practice, Almaty, Kazakhstan, pp. 129-139.