2014
DOI: 10.1016/j.apenergy.2014.07.081
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Research on patterns in the fluctuation of the co-movement between crude oil futures and spot prices: A complex network approach

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Cited by 77 publications
(24 citation statements)
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“…Giulietti et al [14] adopt time-series and cross-section methods to verify that the overwhelming majority of crude oil prices have stable long term relationships. An et al [15] analyse the co-movement between WTI and Daqing crude oil prices using a complex network approach. They find that the co-movement modes are clustered around a few critical modes during the evolution.…”
Section: Introductionmentioning
confidence: 99%
“…Giulietti et al [14] adopt time-series and cross-section methods to verify that the overwhelming majority of crude oil prices have stable long term relationships. An et al [15] analyse the co-movement between WTI and Daqing crude oil prices using a complex network approach. They find that the co-movement modes are clustered around a few critical modes during the evolution.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, researchers have used complex network theories to study multivariate time series [21][22][23][24]. These four methods all effectively maintain most of the properties of different types of time series, and they have been successfully used in many different fields [25][26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…The coarse graining mode and regression pattern method are proposed by Gao et al [11,12] and An et al [13]. They mainly concentrated on the transmission ability of time series and combined the traditional Least Square Method with complex networks models.…”
Section: Introductionmentioning
confidence: 99%