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The relationship between crude oil spot and futures prices: cointegration, linear and nonlinear causality

机译:原油现货与期货价格之间的关系:协整,线性和非线性因果关系

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摘要

The present study investigates the linear and nonlinear causal linkages between daily spot and futures prices for maturities of one, two, three and four months of West Texas Intermediate (WTI) crude oil. The data cover two periods October 1991-October 1999 and November 1999-October 2007, with the latter being significantly more turbulent. Apart from the conventional linear Granger test we apply a new nonparametric test for nonlinear causality by Diks and Panchenko after controlling for cointegration. In addition to the traditional pairwise analysis, we test for causality while correcting for the effects of the other variables. To check if any of the observed causality is strictly nonlinear in nature, we also examine the nonlinear causal relationships of VECM filtered residuals. Finally, we investigate the hypothesis of nonlinear non-causality after controlling for conditional heteroskedasticity in the data using a GARCH-BEKK model. Whilst the linear causal relationships disappear after VECM cointegration filtering, nonlinear causal linkages in some cases persist even after GARCH filtering in both periods. This indicates that spot and futures returns may exhibit asymmetric GARCH effects and/or statistically significant higher order conditional moments. Moreover, the results imply that if nonlinear effects are accounted for, neither market leads or lags the other consistently, videlicet the pattern of leads and lags changes over time.
机译:本研究调查了西德克萨斯中质原油(WTI)的一个,两个,三个和四个月的到期日现货价格与期货价格之间的线性和非线性因果关系。数据涵盖了1991年10月至1999年10月和1999年11月至2007年10月的两个时期,后者则更为动荡。除了传统的线性格兰杰检验,我们在控制协整之后应用了由Diks和Panchenko提出的非线性因果关系的新非参数检验。除了传统的成对分析外,我们还在校正其他变量影响的同时测试因果关系。为了检查观察到的因果关系在本质上是否完全是非线性的,我们还检查了VECM滤波残差的非线性因果关系。最后,在使用GARCH-BEKK模型控制数据中的条件异方差性之后,我们研究了非线性非因果关系的假设。尽管在VECM协整滤波后线性因果关系消失了,但在某些情况下,即使在两个时期的GARCH滤波后,非线性因果关系仍然存在。这表明现货和期货收益可能表现出不对称的GARCH效应和/或统计上显着的高阶条件矩。此外,结果暗示,如果考虑到非线性效应,则市场领先者或滞后者均不会始终如一地出现,这将导致领先者和滞后的模式随时间变化。

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    Bekiros, S.D.; Diks, C.G.H.;

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  • 年度 2008
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