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基于非线性组合模型对石油价格的预测
引用本文:赵庆.基于非线性组合模型对石油价格的预测[J].唐山学院学报,2014,27(6):85-88.
作者姓名:赵庆
作者单位:东北财经大学 金融学院,辽宁 大连 116025; 辽宁对外经贸学院 财政金融系,辽宁 大连 116025
摘    要:鉴于石油在国民经济中的重要地位及其对金融市场的重要影响,提出新的非线性组合预测模型:HP滤波-AR模型-ARMA模型,使用HP滤波将原序列分解成两部分即周期性波动序列和趋势要素序列。根据两个序列的不同性质,对趋势要素序列建立AR模型,然后建立随机周期性波动序列,对随机周期性波动序列建立ARMA模型。将两个预测值之和与原序列比较,同时将该模型与其他模型进行对比。对比结果表明,预测精度高于其他模型。

关 键 词:石油价格预测  HP滤波  AR模型  ARMA模型

Oil Price Forecast Based on the Non-linear Combination Model
ZHAO Qing.Oil Price Forecast Based on the Non-linear Combination Model[J].Journal of Tangshan College,2014,27(6):85-88.
Authors:ZHAO Qing
Institution:ZHAO Qing (1. School of Economics and Finance, Dongbei University of Finance and Economics, Dalian 116025, China;2. Divi- sion of Accounting Finance, Liaoning University of International Business and Economics, Dalian 116025,China)
Abstract:In view of the important role of oil in the national economy and its important effect on the financial markets,the author has developed a new non-linear combination forecasting model:HP filter + AR model + ARMA model.The HP filter divides the original sequence into two parts:periodic fluctuation sequence and trend factor sequence,according to different properties of which AR model is set up for the rend factor sequence,random periodic fluctuation sequence is es-tablished,and then ARMA model is set up for the random periodic fluctuation sequence.The sum of two predicted values is compared with the original sequence and the combination model is compared with other models.The comparison results show that the prediction accuracy of the combination model is higher than other models.
Keywords:oil price forecast  HP filter  AR model  ARMA model
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