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The causes of stage expansion of WTI/Brent spread 被引量:1
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作者 Hong-Zhi Tian Wei-Di Lai 《Petroleum Science》 SCIE CAS CSCD 2019年第6期1493-1505,共13页
Historically,the price of WTI crude oil futures has long been higher than that of Brent by$2/barrel,but the spread between 2011 and 2015 was reversed and expanded to$24/barrel.In order to analyze the difference betwee... Historically,the price of WTI crude oil futures has long been higher than that of Brent by$2/barrel,but the spread between 2011 and 2015 was reversed and expanded to$24/barrel.In order to analyze the difference between two crude oil price variables with the same trend and phase separation using one method of analysis,this paper constructs a dynamic comparative analysis framework using the method of time-point decomposition of fluctuation factors to determine the different reasons and amplitudes for monthly fluctuations in the two price systems in the sample interval.The study found that the sensitive response of Brent futures price indicators to the world’s crude oil supply resulting from the depletion of oil in the North Sea oil field prompted it to rise in 2011–2015.For the WTI price system,due to the increase in the US shale oil production after 2008 and the restrictions in domestic pipeline transportation capacity,the increase in the Cushing crude oil inventory caused downward pressure on the WTI price.With the lifting of the US crude oil export ban in December 2015,arbitrage space disappeared,and the spread between the two gradually narrowed. 展开更多
关键词 WTI Brent Cushing crude oil inventory North Sea oil field Shale oil
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A Time-Varying Conditional Parameter Distributed Lag Model with an Application to Crude Oil Market
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作者 Amina AILIGENG Fengbin LU Shouyang WANG 《Journal of Systems Science and Information》 CSCD 2023年第5期562-579,共18页
This paper proposes a new time-varying parameter distributed lag(DL)model.In contrast to the existing methods,which assume parameters to be random walks or regime shifts,our method allows time-varying coefficients of ... This paper proposes a new time-varying parameter distributed lag(DL)model.In contrast to the existing methods,which assume parameters to be random walks or regime shifts,our method allows time-varying coefficients of lagged explanatory variables to be conditional on past information.Furthermore,a test for constant-parameter DL model is introduced.The model is then applied to examine time-varying causal effect of inventory on crude oil price and forecast weekly crude oil price.Time-varying causal effect of US commercial crude oil inventory on crude oil price return is presented.In particular,the causal effect of inventory is occasionally positive,which is contrary to some previous research.It’s also shown that the proposed model yields the best in and out-of-sample performances compared to seven alternative models including RW,ARMA,VAR,DL,autoregressive-distributed lag(ADL),time-varying parameter ADL(TVP-ADL)and DCB(dynamic conditional beta)models. 展开更多
关键词 distributed lag model time-varying conditional parameter crude oil price forecast oil inventory
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