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Fluctuation behavior analysis of international crude oil and gasoline price based on complex network perspective

机译:基于复杂网络视角的国际原油和汽油价格波动行为分析

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摘要

The directed weighted networks of international crude oil and gasoline price were built in the different fluctuation periods. And then the evolution law of the new nodes in the prices networks was analyzed. The results indicated that the cumulative times of the new nodes that appeared in the crude oil and gasoline prices networks were not random but exhibited a high linear growth trend, which revealed the linear characteristics of the accumulation time of abnormal points that appeared in the process of oil price fluctuations. Based on the node strength, the calculation formula of the network similarity between the crude oil and gasoline price networks was designed, and the interdependence between the crude oil and gasoline price fluctuations was calculated, the results indicated that there was a strong interdependence between crude oil and gasoline prices in stable fluctuation periods, but the degree of dependence was significantly reduced in sharp fluctuation periods. The strength of nodes and their strength distribution, weighted clustering coefficient, and average shortest paths of the price network in different periods were calculated. The fluctuation characteristics in different periods were comparatively analyzed. The core fluctuation status and the conversion relationship between them in different periods were revealed. Finally, the important modes of price fluctuations of crude oil and gasoline were identified and the distribution characteristics of the time these modes appeared were studied. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在不同的波动时期建立了国际原油和汽油价格的定向加权网络。然后分析了价格网络中新节点的演化规律。结果表明,原油和汽油价格网络中新节点的累积时间不是随机的,而是呈现较高的线性增长趋势,揭示了在原油和汽油价格网络中出现的异常点累积时间的线性特征。石油价格波动。根据节点强度,设计了原油与汽油价格网络之间网络相似度的计算公式,计算了原油与汽油价格波动之间的相互依存关系,结果表明原油之间存在很强的相互依存关系。和汽油价格在稳定的波动时期,但是在急剧的波动时期,依赖程度显着降低。计算了节点的强度及其强度分布,加权聚类系数和不同时期价格网络的平均最短路径。比较分析了不同时期的波动特征。揭示了不同时期的核心波动状态及其之间的转换关系。最后,确定了原油和汽油价格波动的重要模式,并研究了这些模式出现时间的分布特征。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Applied Energy》 |2016年第1期|109-127|共19页
  • 作者单位

    Nanjing Normal Univ, Sch Math Sci, Nanjing 210042, Jiangsu, Peoples R China|Nanjing Normal Univ, Dept Math, Taizhou Coll, Taizhou 225300, Jiangsu, Peoples R China;

    Jiangsu Univ, Energy Dev & Environm Protect Strategy Res Ctr, Zhenjiang 212013, Jiangsu, Peoples R China;

    Nanjing Normal Univ, Sch Math Sci, Nanjing 210042, Jiangsu, Peoples R China|Jiangsu Univ, Energy Dev & Environm Protect Strategy Res Ctr, Zhenjiang 212013, Jiangsu, Peoples R China;

    Jiangsu Univ, Energy Dev & Environm Protect Strategy Res Ctr, Zhenjiang 212013, Jiangsu, Peoples R China;

    Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210016, Jiangsu, Peoples R China;

    Jiangsu Univ, Energy Dev & Environm Protect Strategy Res Ctr, Zhenjiang 212013, Jiangsu, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Crude oil price; Gasoline price; Complex network; Dynamic characteristics;

    机译:原油价格;汽油价格;复杂网络;动态特性;

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