摘要
为研究各因素与国际原油价格之间相互影响的程度和时差关系,提出了基于时差相关多变量模型的分析框架.根据该框架,在确定影响因素和模型变量后,对各因素与油价间的时差相关关系进行了分析,以此作为确定和调整模型中变量滞后阶数的依据,结合变量系数是否显著和模型调整R^2是否提高的判断准则,对金融危机前后共七组样本构建了多元回归模型.研究结果发现:各因素与油价的相互作用并不都是在当期完成的;金融危机爆发后,各因素与油价的关系均发生了不同程度的变化,且油价有向基本面回归的趋势.
A multivariable model based on cross-correlogram is proposed to study the effect of influencing factors on crude oil price. Following the selection of factors and variables, the lead-lag relationship between factors and oil price is firstly analyzed to decide and adjust the lag order of independent variables. Then multivariable regression models are set up to analyze the effect of influencing factors on crude oil price during financial crisis. It proves that not all factors change the oil price in the current period. The relationship between factors and oil price does change after financial crisis to various extent.
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2012年第6期1166-1174,共9页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(70801058
71003004
71001103
70971052)
关键词
原油价格
金融危机
影响因素
时差相关
多变量模型
crude oil price
financial crisis
influencing factors
cross-correlogram analysis
multivariable regression model
