A Trend Deduction Model of Fluctuating Oil Prices
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 April 2010, 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.
|Date of creation:||Feb 2011|
|Date of revision:|
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- Mark Holmes & Ping Wang, 2003. "Oil Price Shocks and the Asymmetric Adjustment of UK Output: A Markov-switching approach," International Review of Applied Economics, Taylor & Francis Journals, vol. 17(2), pages 181-192.
- Kosobud, Richard F & Stokes, Houston H, 1978. "Oil Market Share Dynamics: A Markov Chain Analysis of Consumer and Producer Adjustments," Empirical Economics, Springer, vol. 3(4), pages 253-75.
- Vo, Minh T., 2009. "Regime-switching stochastic volatility: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 31(5), pages 779-788, September.
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