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Identifying the comovement of price between China's and international crude oil futures: A time-frequency perspective

机译:确定中国和国际原油期货价格的复制:时频视角

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摘要

Identifying the comovement of price between China's and international crude oil futures can help different market players gain a deeper understanding of the world crude oil market. This paper uses the wavelet (wavelet coherence and phase) methods to study the comovement characteristics at different time scales from three aspects (the strength of comovement, the direction of comovement and the lead-lag relationship of price fluc-tuation) and uses the complex network method to explore the evolutionary characteristics of the comovement with time. We use the daily closing prices of WTI, Brent and China's crude oil futures (INE) as sample data. The results show that the comovement between INE and international crude oil futures is extremely different from that between other international crude oil futures, and the comovement at different time scales is also different. Compared with the comovement between WTI and Brent crude oil futures, the comovement strength between INE and international crude oil futures is weak and the comovement direction is unstable. China's crude oil futures price fluctuation also tends to lag behind that of international crude oil futures. Compared with the longterm, the short-term comovement strength is weaker, the comovement states are more diverse and the transition between comovement states is more complex. Moreover, during the evolution of time, some comovement states have a higher probability of occurrence and they are also more stable than others. These findings are helpful for policy makers to design policies and for investors to make investment decisions.
机译:确定中国和国际原油期货价格的复制可以帮助不同的市场参与者对世界原油市场的深入了解。本文采用小波(小波相干和相位)方法研究不同时间尺度的可分配特性(可分配的强度,复制方向和价格闪烁的引线关系)并使用复杂的网络方法探讨了随时间探讨了复苏的进化特性。我们使用WTI,布伦特和中国原油期货(INE)的日常收盘价作为样本数据。结果表明,INE和国际原油期货之间的可融合与其他国际原油期货之间的同意不同,不同时间尺度的可融合也不同。与WTI和布伦特原油期货之间的可拆卸相比,INE和国际原油期货之间的复合强度薄弱,可融合方向不稳定。中国原油期货价格波动也落后于国际原油期货。与Longterm相比,短期复合强度较弱,可分配状态更多样化,复制状态之间的过渡更复杂。此外,在时间的演变期间,一些可分配状态具有更高的发生概率,并且它们比其他稳定性更稳定。这些调查结果有助于决策者为设计政策和投资者进行投资决策。

著录项

  • 来源
    《International Review of Financial Analysis》 |2020年第11期|101562.1-101562.13|共13页
  • 作者

    Huang Xiaohong; Huang Shupei;

  • 作者单位

    China Univ Geosci Sch Econ & Management Beijing 100083 Peoples R China|Minist Nat Resources Key Lab Carrying Capac Assessment Resource & Envi Beijing 100083 Peoples R China;

    China Univ Geosci Sch Econ & Management Beijing 100083 Peoples R China|Minist Nat Resources Key Lab Carrying Capac Assessment Resource & Envi Beijing 100083 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Comovement; Crude oil futures prices; Wavelet; Complex network;

    机译:复苏;原油期货价格;小波;复杂网络;

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