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author：

Zehai, Zhou (Zehai, Zhou.) [1] | Wenxuan, Xue (Wenxuan, Xue.) [2] | Kai, Chen (Kai, Chen.) [3] | Lihong, Wang (Lihong, Wang.) [4] | Ying, Chen (Ying, Chen.) [5] | Yanbin, Huang (Yanbin, Huang.) [6] | Yihao, Lin (Yihao, Lin.) [7] | Fangqiang, Qian (Fangqiang, Qian.) [8] | Xingjian, Zhang (Xingjian, Zhang.) [9]

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EI

Abstract：

This　article　uses　quantile　regression　and　Granger　Causal　Relation　Test　modeling　analysis　of　time　series　data　to　find　out　the　price　of　crude　oil　influence　on　the　price　of　coal.　Results　show　that　there　is　asymmetric　relationship　between　the　crude　oil　price　and　the　price　of　coal,　when　the　coal　price　is　in　a　low　number,　the　impact　of　crude　oil　price　on　coal　price　is　significant,　however　with　quantile　values　become　larger,　the　price　of　crude　oil　and　coal　prices　gradually　decoupling.　©　2021　ACM.

Keyword：

Coal Costs Crude oil price Intelligent robots Petroleum analysis Regression analysis Robotics Time series analysis

Community：

  • [ 1 ] [Zehai, Zhou]Fuzhou University, Fuzhou Region University New District, Fuzhou City, China
  • [ 2 ] [Wenxuan, Xue]Fuzhou University, Fuzhou Region University New District, Fuzhou City, China
  • [ 3 ] [Kai, Chen]Fuzhou University, Fuzhou Region University New District, Fuzhou City, China
  • [ 4 ] [Lihong, Wang]Fuzhou University, Fuzhou Region University New District, Fuzhou City, China
  • [ 5 ] [Ying, Chen]Fuzhou University, Fuzhou Region University New District, Fuzhou City, China
  • [ 6 ] [Yanbin, Huang]Fuzhou University, Fuzhou Region University New District, Fuzhou City, China
  • [ 7 ] [Yihao, Lin]Fuzhou University, Fuzhou Region University New District, Fuzhou City, China
  • [ 8 ] [Fangqiang, Qian]Fuzhou University, Fuzhou Region University New District, Fuzhou City, China
  • [ 9 ] [Xingjian, Zhang]Fuzhou University, Fuzhou Region University New District, Fuzhou City, China

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Year： 2021

Page： 421-424

Language： English

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 2

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

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