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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

Ngo Thai Hung (Faculty of Economics and Law, University of Finance-Marketing, Ho Chi Minh City, Vietnam)

Studies in Economics and Finance

ISSN: 1086-7376

Article publication date: 3 November 2023

Issue publication date: 13 November 2023

142

Abstract

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.

Keywords

Acknowledgements

The author is grateful to the anonymous referees of the journal for their extremely useful suggestions to improve the quality of the article. Usual disclaimers apply.

Availability of supporting data: Please contact the author for data and program codes requests. R and Matlab are used to organize data.

Author’s contributions

NTH: methodology, software, data curation, writing – original draft.

Competing interests: The author declares that they have no competing interests.

Funding: This research was funded by the University of Finance-Marketing, Ho Chi Minh City, Vietnam.

Citation

Thai Hung, N. (2023), "Time-varying connectedness and causality between oil prices and G7 economies exchange rates. Evidence from the COVID-19 and Russia-Ukraine crises", Studies in Economics and Finance, Vol. 40 No. 5, pp. 814-838. https://doi.org/10.1108/SEF-04-2023-0184

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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