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国际石油价格长期趋势预测系统的研制与应用 被引量:5

Development and Application of Long-term and Multi-stage Oil Price Forecasting System
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摘要 国际石油价格的剧烈波动将对经济乃至整个社会产生巨大的影响。如何准确预测国际油价趋势已成为一个非常重要的课题。基于小波多尺度分析长期趋势多步预测模型,设计并开发了国际石油价格长期趋势预测系统(LOFS)。该系统的应用证明:LOFS系统在一定程度上可以预测未来国际油价的变化趋势,但预测的关键是选取合适的参数(小波波形、峰谷选取严格度、波动检验量常数)。基于计算实验的思想,提出了一套确定参数的方法,并据此预测了2013年Brent原油价格的走势。 The intense volatility of the oil price may have great effects not only on the economy but also on the whole society.It has become a very important task to forecast the trend of oil price accurately.This paper designs and develops Long-term and Multi-stage Oil Price Forecasting System(LOFS)based on MAW model.The application of LOFS proves that LOFS can forecast the trend of oil price in the future in a certain degree,but the key of the forecast is the choice of appropriate parameters(e.g.wave type).This paper proposes a method to determine these parameters based on computational experiments and accordingly forecasts the trend of Brent crude oil price in 2013.
出处 《北京理工大学学报(社会科学版)》 CSSCI 2013年第3期13-20,共8页 Journal of Beijing Institute of Technology:Social Sciences Edition
基金 国家自然科学基金资助项目(71001007) 高等学校博士学科点专项科研基金资助项目(20091101110044)
关键词 油价预测系统 动态服务器页面(Asp Net) 模型—视图—控制器(MVC) 计算实验 oil price forecast system active server pages(Asp.Net) model-view-controller(MVC) computational experiments
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参考文献15

  • 1Fan Ying,Liang Qiang,Wei Yi-Ming. A generalized pattern matching approach for multi-step prediction of crude oil price[J]. Energy Economics, 2008,30 : 889-904.
  • 2Fan Ying,Zhang Yue-Jun,Tsai Hsien-Tang,Wei Yi-Ming. Estimating "value at risk" of crude oil price and its spillover effect using GED approach[J]. Energy Economics, 2008,30 (6) : 3156-3171.
  • 3张跃军,范英,魏一鸣.基于GED—GARCH模型的中国原油价格波动特征研究[J].数理统计与管理,2007,26(3):398-406. 被引量:50
  • 4Epaminondas P,Vassilia N. Are oil markets chaotic? a non-linear dynamic analysis[J]. Energy Economics,2000,22(5):549- 568.
  • 5Adrangi B, Chatrath A, Dhanda K K, Raffiee K. Chaosin oil prices?evidence from futures markets[J]. EnergyEeonomies, 2001,23: 405--425.
  • 6Alvarez-Ramirez J,Cisneros M,Ibarra-Valdez C,Soriano A. Muhifractal hurst analysis of crude oil prices [J]. Physica A- Statistical Mechanics and Its Applications,2002,313(3-4):651-670.
  • 7Bernabe A, Martina E, Alvarez-Ramirez J, Ibarra-Valdez C. A multi-model approach for describing crude oil price dynamics[J]. Physica A-Statistical Mechanics and Its Applications,2004,338(3-4):567-584.
  • 8陈余生,施兆福.国际市场油价预测系统[J].中国石油大学学报(社会科学版),1989,11(3):41-47. 被引量:1
  • 9张杰.石油价格预测专家系统OPFES的设计与实现[J].信息与控制,1991,3:7-13.
  • 10Wang S Y, Lean Y,Lai K K. A novel hybrid AI system framework for crude oil price forecasting[C]. Germany:Springer-Verlag, 2004 : 233-242.

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