An Asymmetrical Relationship Between Oil Price Fluctuations And Geopolitical Tensions Between China And The United States
Abstract
Oil remains a strategic asset at the heart of contemporary geopolitical rivalries. China’s rise to become the world’s largest importer and the United States’ transformation into a major producer and exporter have profoundly altered the energy balance of power, reinforcing the interdependence between oil markets and bilateral geopolitical tensions. This article examines the existence and nature of an asymmetric relationship between oil price fluctuations and geopolitical tensions between China and the United States, distinguishing the effects of price increases and decreases and their dependence on risk regimes. The analysis is based on monthly data covering 2000–2024 and employs a nonlinear econometric approach that combines an NARDL model for asymmetric cointegration, a Quantile VAR (QVAR) model to capture conditional effects by risk level, and an EGARCH model to analyze the asymmetric transmission of geopolitical uncertainty to oil volatility. The results show that rising oil prices significantly intensify Sino-American geopolitical tensions, while falling prices have a weaker and less persistent effect. This asymmetry is particularly pronounced during periods of high international instability. Furthermore, geopolitical tensions significantly increase oil price volatility, with a leverage effect indicating that negative geopolitical shocks have a disproportionate impact on energy markets. These results suggest that the asymmetry in the oil-geopolitical transmission reflects differentiated energy vulnerabilities and distinct strategic behaviors between China and the United States. The study underscores the importance of oil as a vector of asymmetric interdependence and as an amplifier of international tensions, with major implications for energy security policies, financial market stability, and global energy governance.
- Oil price increases significantly intensify Sino-American geopolitical tensions.
- Oil price decreases have weaker and less persistent geopolitical effects.
- The oil–geopolitics relationship is nonlinear and regime-dependent.
- Geopolitical tensions significantly amplify oil price volatility with a leverage effect.
- Asymmetry reflects structural energy dependence between China (importer) and the U.S. (producer/exporter).
Full text article
References
Antonakakis, N., Gupta, R., & Kollias, C. (2020). Geopolitical risks and the oil-stock nexus. Finance Research Letters, 34, 101206. https://doi.org/10.1016/j.frl.2017.07.017
Balcilar, M., Bonato, M., Demirer, R., & Gupta, R. (2018). Geopolitical risks and stock market dynamics of the BRICS. Economic Systems, 42(2), 295-306. https://doi.org/10.1016/j.ecosys.2017.05.008
Battiston, S., Mandel, A., Monasterolo, I., Schütze, F., & Visentin, G. (2021). Climate risks and financial stability. Journal of Financial Stability, 54, 100867. https://doi.org/10.1016/j.jfs.2021.100867
Caldara, D., & Iacoviello, M. (2022). Measuring geopolitical risk. American Economic Review, 112(4), 1194–1225. https://doi.org/10.1257/aer.20191823
CBOE. (2024). CBOE volatility index (VIX) data. Chicago Board Options Exchange.
Cherp, A., & Jewell, J. (2014). The concept of energy security: Beyond the four As. Energy Policy, 75, 415–421. https://doi.org/10.1016/j.enpol.2014.09.005
Zhu, Z., Hunjra, A. I., Alharbi, S. S., & Zhao, S. (2025). Global energy transition under geopolitical risks: An empirical investigation. Energy Economics, 145, 108495. https://doi.org/10.1016/j.eneco.2025.108495
Farrell, H., & Newman, A. L. (2019). Weaponized interdependence. International Security, 44(1), 42–79. https://doi.org/10.1162/isec_a_00351
Hamilton, J. (2014). Oil prices are an indicator of global economic conditions. Econbrowser Blog entry, 14.
IEA. (2023). World Energy Outlook 2023. International Energy Agency. https://www.iea.org/reports/world-energy-outlook-2023
Keohane, R. O., & Nye Jr, J. S. (1973). Power and interdependence. Survival, 15(4), 158-165. https://doi.org/10.1080/00396337308441409
Kilian, L. (2019). Measuring global real economic activity: Do recent critiques hold up to scrutiny?. Economics Letters, 178, 106-110. https://doi.org/10.1016/j.econlet.2019.03.001
Koenker, R., & Xiao, Z. (2006). Quantile autoregressione. Journal of the American Statistical Association, 101(475), 980–990. https://doi.org/10.1198/016214506000000672
Bodas-Freitas, I.M., & Corrocher, N. (2019). The use of external support and the benefits of the adoption of resource efficiency practices: An empirical analysis of European SMEs. Energy Policy, 132, 75-82. https://doi.org/10.1016/j.enpol.2019.05.019
Radnitz, S. (2022). Solidarity through Cynicism? The Influence of Russian Conspiracy Narratives Abroad. International Studies Quarterly, 66(2), sqac012. https://doi.org/10.1093/isq/sqac012
Lin, B., & Song, Y. (2024). Coal price shocks and economic growth: A province-level study of China. Energy Policy, 193, 114297. https://doi.org/10.1016/j.enpol.2024.114297
Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica: Journal of the Econometric Society, 347-370. https://doi.org/10.2307/2938260
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
Ren, X., An, Y., & Jin, C. (2023). The asymmetric effect of geopolitical risk on China's crude oil prices: New evidence from a QARDL approach. Finance Research Letters, 53, 103637. https://doi.org/10.1016/j.frl.2023.103637
Guo, C., & Feng, Y. (2025). Asymmetric risk spillover between energy markets and uncertainties of economic policy, infectious disease, and geopolitical risk. Romanian Journal of Economic Forecasting, 28(1), 63-80.
Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modeling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in honor of Peter Schmidt (pp. 281–314). Springer. https://doi.org/10.1007/978-1-4899-8008-3_9
Dulian, M. (2024). Security of energy supply. European Parliamentary Research Service. 1-9. https://www.europarl.europa.eu/RegData/etudes/BRIE/2024/762410/EPRS_BRI(2024)762410_EN.pdf
Scholten, D. (2024). The Power of Energy: The Geopolitics of the Energy Transition. E-International Relations, 1-6. https://www.e-ir.info/2024/06/17/the-power-of-energy-the-geopolitics-of-the-energy-transition/
Zaghdoudi, T. (2025). US-China tension, geopolitical risks, and oil price uncertainty: Evidence from the Fourier-QARDL approach. Energy Research Letters, 7(Early View). https://doi.org/10.46557/001c.144072
Özdemir, L., Vurur, N. S., Ozen, E., Świecka, B., & Grima, S. (2025). Volatility Modeling of the Impact of Geopolitical Risk on Commodity Markets. Economies, 13(4), 88. https://doi.org/10.3390/economies13040088
Authors
Copyright (c) 2026 Abdelkader Mohamed Sghaier Derbali

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright / Open Access Policy: This journal provides immediate free open access and is distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). This is an open-access journal, which means readers can access it freely. Readers may read, download, copy, distribute, print, search, or link to the full texts of the articles for any lawful purpose without seeking prior permission from the publisher or author. This is consistent with the Budapest Open Access Initiative's (BOAI) definition of open access.
Article Details
How to Cite
Similar Articles
- Anthony Orji, Elis Moses Onoh, Onyinye Imelda Anthony-Orji, Jonathan Emenike Ogbuabor, Oluchi Okoro, Joseph Fanen Akpesue, Tourism, Migration, And Productive Capacity Growth In Sub-Saharan Africa , Innovation Economics Frontiers: Vol. 28 No. 2 (2025)
- Sarfaraz Javed, Uvesh Husain, A VECM Investigation on the Nexus among Government Spending, Oil Revenues, and Economic Growth: Empirical Evidence from the Sultanate of Oman , Innovation Economics Frontiers: Vol. 27 No. 2 (2024)
- Isah Wada, Modelling The Role of Institutional Change In A Tourism Growth Model: A Dynamic Analysis , Innovation Economics Frontiers: Vol. 27 No. 2 (2024)
You may also start an advanced similarity search for this article.