Spillovers across the crude oil and major currencies exchange rates using dynamic-quantile-frequency analysis

This study examines the link between the daily price changes of WTI and major global currencies from 2000 to 2022. It utilizes mixed dynamic-frequency-quantile-based models to provide new insights into their interconnectedness. Significant price volatility spillages were observed between the two markets, particularly between the oil and JPY currencies. It suggests that the Euro and the Swiss franc have the highest capacity to transmit such fluctuations. Our analysis of quantile connectedness provided compelling evidence that the average level of connectedness between oil prices and Foreign Exchange Markets (FEM) varies across different quantiles. The presence of asymmetric tail dependence between the energy and FEM was also observed. Ultimately, a frequency analysis uncovered the transmission of brief periods of uncertainty shocks between the oil and FEM. The middle- and long-term components exhibited negligible interconnectedness, except during the COVID-19 pandemic (C19P) when there was a rise in the impact of the medium-term component. These findings can provide valuable guidance for policymakers regarding market participants' financial stability and performance.

Authors

Publication Details

Journal
International Review of Economics & Finance
Published
2025-03-14
DOI
https://doi.org/10.1016/j.iref.2025.104065
Citations
4
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
12.52
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article

Spillovers across the crude oil and major currencies exchange rates using dynamic-quantile-frequency analysis

Cristina Bâldan, Noureddine Benlagha, Abdelmohsen A. Nassani, Kamel Si Mohammed et al.
4 citations
International Review of Economics & Finance
Market Dynamics and Volatility
12.52
article

Spillovers across the crude oil and major currencies exchange rates using dynamic-quantile-frequency analysis

Cristina Bâldan, Noureddine Benlagha, Abdelmohsen A. Nassani, Kamel Si Mohammed, Buhari Doğan, Magdalena Rãdulescu
article en
4 citations

Abstract

This study examines the link between the daily price changes of WTI and major global currencies from 2000 to 2022. It utilizes mixed dynamic-frequency-quantile-based models to provide new insights into their interconnectedness. Significant price volatility spillages were observed between the two markets, particularly between the oil and JPY currencies. It suggests that the Euro and the Swiss franc have the highest capacity to transmit such fluctuations. Our analysis of quantile connectedness provided compelling evidence that the average level of connectedness between oil prices and Foreign Exchange Markets (FEM) varies across different quantiles. The presence of asymmetric tail dependence between the energy and FEM was also observed. Ultimately, a frequency analysis uncovered the transmission of brief periods of uncertainty shocks between the oil and FEM. The middle- and long-term components exhibited negligible interconnectedness, except during the COVID-19 pandemic (C19P) when there was a rise in the impact of the medium-term component. These findings can provide valuable guidance for policymakers regarding market participants' financial stability and performance.

International Review of Economics & FinanceVol. 99
Openalex Percentile: Top 2%
Market Dynamics and Volatility
12.52
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Spillovers across the crude oil and major currencies exchange rates using dynamic-quantile-frequency analysis — Cristina Bâldan, Noureddine Benlagha, et al. · International Review of Economics & Finance (2025) | TGRS Research Map | TGRS