Abstract Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach
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Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach

机译:金和油价格共同运动的时间序列分析:分数协整方法

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Abstract This paper deals with the relationship between oil prices and gold prices using some recently developed techniques in time series analysis, and based on the concepts of fractional integration and cointegration. We show first, that using standard methods of unit roots and cointegration with integer degrees of differentiation, the two series seem to be individually I(1) though cointegrated. However, using fractional techniques, we show that there exists a fractionally cointegrated relationship between the two variables, with an order of integration in the long run relationship of about 0.46. Moreover, shocks in the price of gold seem to have an effect on the price of oil that persists in time. Highlights ? The paper deals with the relationship between oil prices and gold prices. ? We usefractional integration and cointegration. ? Using standard unit roots and cointegrationmethods the two series are individually I(1) though cointegrated. ? Using fractional techniques, we show that there exists a fractionally cointegrated relationship between the two variables, with an order of integration in the long run relationship of about 0.46. ]]>
机译:<![cdata [ 抽象 本文涉及油价与黄金价格之间的关系,利用时间序列分析的一些最近开发的技术,并基于分数集成的概念和协整。我们首先显示,使用单位根系的标准方法和整数分化程度的协整,这两个系列似乎是单独的i(1)虽然共同化。然而,使用分数技术,我们表明,两个变量之间存在分数结合的关系,其长期关系的整合顺序约为0.46。此外,黄金价格的冲击似乎对持续时间持续存在的油价效果。 突出显示 论文涉及油价与黄金价格之间的关系。 我们使用判定集成和协整。 使用标准单元根源和协整个方法,这两个系列是单独的i(1 )尽管共同化。 使用分数技术,我们表明,两个变量之间存在分数结合的关系,其长期关系中的整合顺序约为0.46。 ]]>

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