DocumentCode :
1973580
Title :
Forecasting the Fluctuation of Oil Price Based on Hull-White Model
Author :
Shang Yongqing ; Wang Zhen ; Wang Qing ; Zhong Lidong
Author_Institution :
Sch. of Bus. Adm., China Univ. of Pet. (Beijing), Changping, China
fYear :
2010
fDate :
20-22 Aug. 2010
Firstpage :
1
Lastpage :
5
Abstract :
An important application of the Binary tree model is the Hull-White model. It may be used to forecast the fluctuation range of the oil price in future, thus the unusual circumstance in the price changing can be discovered and the reason may be traced. But when it is in use, judging will go first that whether the increasing probability p and the decreasing probability q are consistent and close consistent or not. In another way, it should satisfy the conditions of the Hull-White model: p = q, because it may make the forecast data distortion when p and q deviate largely. In this article the improvement model will be proposed in the foundation of the original model. The probabilities of increase and decrease will be taken into consideration and the oil prices of 1260 weeks, from January 3rd, 1986 to February 12th, 2010, will be taken as reference to forecast and analysis. How to apply the improved model in the forecast of the fluctuations in oil prices is proposed innovative as well.
Keywords :
economic forecasting; oils; pricing; probability; trees (mathematics); Hull-White model; binary tree model; data distortion; oil price fluctuation forecasting; probability; Analytical models; Biological system modeling; Data models; Fluctuations; Mathematical model; Petroleum; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
Type :
conf
DOI :
10.1109/ITAPP.2010.5566075
Filename :
5566075
Link To Document :
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