石油价格与七国集团经济体汇率之间的时变联系和因果关系。来自COVID-19和俄罗斯-乌克兰危机的证据

IF 2.3 Q2 BUSINESS, FINANCE Studies in Economics and Finance Pub Date : 2023-11-03 DOI:10.1108/sef-04-2023-0184
Ngo Thai Hung
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引用次数: 0

摘要

本研究旨在探讨新冠肺炎和俄罗斯-乌克兰危机期间G7经济体原油和汇率市场之间的时变因果关系和价格溢出效应。设计/方法/方法本研究采用时变格兰杰因果检验和溢出指数。本研究发现汇率收益与油价之间存在随时间变化的因果关系,这意味着原油价格具有G7经济体外汇市场在其领域的预测能力。此外,估计总溢出指数在COVID-19和战争事件期间大幅下降。然而,这一指数相对较高,在第一波COVID-19期间超过57%,在俄罗斯-乌克兰冲突期间略有下降。这一结果支持了汇率和油价之间的大多数时变相互作用发生在短期内的假设。因此,时变特征为投资者和政策制定者提供了直观的洞察力,以充分了解油价与G7汇率市场之间的相互关系。首先,本研究利用Shi等人(2018)最近提出的新型时变格兰杰因果关系模型和Diebold和Yilmaz(2012)提出的溢出指数,重新审视了石油汇率关系,以突出新的证据。这些方法使作者能够提高对汇率和油价之间随时间变化的因果关系和回报传递的理解。其次,与以往的论文相比,本文使用了2019年12月31日至2022年10月31日的数据,在市场之间提供了一个新鲜而准确的结构,这表明了COVID-19爆发和俄乌战争事件的独特经验。第三,本研究分析了七个发达经济体(G7)的数据集,这些经济体在经济状况和应对全球压力时期表现出显著差异。
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Time-varying connectedness and causality between oil prices and G7 economies exchange rates. Evidence from the COVID-19 and Russia-Ukraine crises
Purpose This study aims to attempt to investigate the time-varying causality and price spillover effects between crude oil and exchange rate markets in G7 economies during the COVID-19 and Russia–Ukraine crises. Design/methodology/approach This study uses time-varying Granger causality test and spillover index. Findings This study finds a time-varying causality between exchange rate returns and oil prices, implying that crude oil prices have the predictive power of the foreign exchange rate markets in G7 economies in their domain. Furthermore, the total spillover index is estimated to fall significantly around COVID-19 and war events. However, this index is relatively high – more than 57% during the first wave of COVID-19 and decreasing slightly during the Russia–Ukraine conflict. Practical implications This outcome supports the hypothesis that the majority of the time-varying interaction between exchange rates and oil prices takes place in the short term. As a result, the time-varying characteristics provide straightforward insight for investors and policymakers to fully understand the intercorrelation between oil prices and the G7 exchange rate markets. Originality/value First, this study has reexamined the oil–exchange rate nexus to highlight new evidence using novel time-varying Granger causality model recently proposed by Shi et al. (2018) and the spillover index proposed by Diebold and Yilmaz (2012). These approaches allow the author to improve understanding of time-varying causal associations and return transmission between exchange rates and oil prices. Second, compared to past papers, this paper has used data from December 31, 2019, to October 31, 2022, to offer a fresh and accurate structure between the markets, which indicates the unique experience of the COVID-19 outbreak and Russia–Ukraine war episodes. Third, this study analyzes a data set of seven advanced economies (G7) exhibiting significant variations in their economic situations and responding to global stress times.
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来源期刊
CiteScore
4.30
自引率
10.50%
发文量
43
期刊介绍: Topics addressed in the journal include: ■corporate finance, ■financial markets, ■money and banking, ■international finance and economics, ■investments, ■risk management, ■theory of the firm, ■competition policy, ■corporate governance.
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