G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
A Trend Deduction Model of Fluctuating Oil Prices
Haiyan Xu; ZhongXiang Zhang
发表日期2011
出处Energy: Resources and Markets
出版年2011
语种英语
摘要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.
特色分类Q41;Q47;C12;C49;F01;O13
关键词Oil Price Log-normality Distribution Limit Probability of a Markov Chain Trend Deduction Model OPEC
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/a-trend-deduction-model-of-fluctuating-oil-prices/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/117960
推荐引用方式
GB/T 7714
Haiyan Xu,ZhongXiang Zhang. A Trend Deduction Model of Fluctuating Oil Prices. 2011.
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