Nonlinear spillover effects between gold and oil prices in Vietnamese and global markets: A Quantile-on-Quantile approach

Dang Thi Phuong Thao1,2, , Phan Thi Hang Nga1
1 University of Finance - Marketing, Vietnam
2 Vietnam Aviation Academy, Vietnam
0
Date Published: 17/08/2026
Online Published: 25/07/2026
Section: Economics and Economic Management
DOI: https://doi.org/10.52932/jfmr.v4i3en.1239

Main Article Content

Abstract

Purpose – This study examines the nonlinear, asymmetric, and state-dependent effects of international gold prices (XAU) and crude oil prices (WTI) on Vietnam’s domestic gold market, represented by SJC gold prices, during the COVID-19 crisis and post-pandemic recovery.

Design/methodology/approach – Using daily data from January 1, 2020, to December 31, 2023, the study converts the price series into logarithmic returns and applies Quantile-on-Quantile Regression to capture heterogeneous relationships across different market conditions.

Findings – The findings indicate that these effects are stronger and more widespread during the COVID-19 period than in the post-pandemic period. International gold prices exert a more persistent influence on SJC prices than crude oil prices, while domestic supply constraints, regulatory controls, and market segmentation weaken the response of domestic gold prices to international price movements.

Originality/value – The study provides new evidence on how institutional characteristics shape the response of Vietnam’s domestic gold market to external shocks by jointly examining the effects of international gold and crude oil prices across crisis and recovery conditions.

Practical implications – The results support state-dependent portfolio allocation and risk management and suggest that policymakers should improve market transparency, supply responsiveness, and the transmission of international gold-price information.

Social implications – Greater transparency and more efficient transmission of international price signals can strengthen investor protection, reduce market distortions, and support financial stability in Vietnam.

Article Details

References

Abuzayed, B., Al-Fayoumi, N., & Bouri, E. (2022). Hedging UK stock portfolios with gold and oil: The impact of Brexit. Resources Policy, 75. https://doi.org/10.1016/j.resourpol.2021.102434
Akbar, M., Iqbal, F., & Noor, F. (2019). Bayesian analysis of dynamic linkages among gold price, stock prices, exchange rate and interest rate in Pakistan. Resources Policy, 62, 154–164. https://doi.org/10.1016/j.resourpol.2019.03.003
AlGhazali, A., Mensi, W., Belghouthi, H. E., Morley, B., & Kang, S. (2025). Oil subsidy removal and spillovers between crude oil and stock markets: Empirical evidence from GCC countries. Journal of Asian Business and Economic Studies, 32(4), 190–203. https://doi.org/10.1108/JABES-03-2025-0105
Aziz, G., Sarwar, S., Yuan, Q., Waheed, R., & Morales, L. (2024). Reinvestigating the role of oil and gold for portfolio optimization in view of COVID-19 and structural breaks: Empirical evidence of BEKK, DCC and wavelet quantile based estimations. Resources Policy, 92. https://doi.org/10.1016/j.resourpol.2024.104957
Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797–817. https://doi.org/10.2307/2118364
Bani-Khalaf, O., & Taspinar, N. (2022). Oil and gold return spillover and stock market elasticity during COVID-19 pandemic: A comparative study between the stock markets of oil-exporting countries and oil-importing countries in the Middle East. Resources Policy, 79. https://doi.org/10.1016/j.resourpol.2022.102935
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026. https://doi.org/10.1086/261849
Brooks, R., & Del Negro, M. (2004). The rise in comovement across national stock markets: Market integration or IT bubble?. Journal of Empirical Finance, 11(5), 659–680. https://doi.org/10.1016/j.jempfin.2003.09.001
Forbes, K., & Rigobon, R. (2002). No contagion, only interdependence: Measuring stock market comovements. Journal of Finance, 57(5), 2223–2261. https://doi.org/10.1111/0022-1082.00494
Ha, L. T., & Nham, N. T. H. (2022). An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis. Technological Forecasting and Social Change, 183. https://doi.org/10.1016/j.techfore.2022.121909
Khalfaoui, R., Boutahar, M., & Boubaker, H. (2015). Analyzing volatility spillovers and hedging between oil and stock markets: Evidence from wavelet analysis. Energy Economics, 49, 540–549. https://doi.org/10.1016/j.eneco.2015.03.023
Kilian, L., & Park, C. (2009). The impact of oil price shocks on the U.S. stock market. International Economic Review, 50(4), 1267–1287. https://doi.org/10.1111/j.1468-2354.2009.00568.x
Mensi, W., Vo, X. V., & Kang, S. H. (2022). COVID-19 pandemic's impact on intraday volatility spillover between oil, gold, and stock markets. Economic Analysis and Policy, 74, 702–715. https://doi.org/10.1016/j.eap.2022.04.001
Ngo, T. H., & Vo, X. V. (2021). Directional spillover effects and time-frequency nexus between oil, gold and stock markets: Evidence from pre and during COVID-19 outbreak. International Review of Financial Analysis, 76. https://doi.org/10.1016/j.irfa.2021.101730
Nguyen Thu Thuy (2018). Phân tích tác động của tỷ giá hối đoái, giá vàng thế giới và giá dầu thế giới đến chỉ số thị trường chứng khoán Việt Nam [Analysis of the impact of exchange rates, world gold prices and world oil prices on the Vietnamese stock market index]. Tạp chí Kinh tế & Phát triển, 256(II), 40–49. https://ktpt.edu.vn/Uploads/Bai%20bao/2018/So%20256(II)/378956.pdf
Pericoli, M., & Sbracia, M. (2003). A primer on financial contagion. Journal of Economic Surveys, 17(4), 571–608. https://doi.org/10.1111/1467-6419.00205
Reboredo, J. C. (2013). Is gold a hedge or safe haven against oil price movements?. Resources Policy, 38(2), 130–137. https://doi.org/10.1016/j.resourpol.2013.02.003
Rigobon, R. (2002). Contagion: How to measure it?. In S. Edwards, & J. A. Frankel (Eds.), Preventing currency crises in emerging markets (pp. 269–334). University of Chicago Press. http://www.nber.org/chapters/c10638
Santos, T. D. (1970). The structure of dependence. American Economic Review, 60(2), 231–236.
Shaik, M., Jamil, S. A., Hawaldar, I. T., Sahabuddin, M., Rabbani, M. R., & Atif, M. (2023). Impact of geo-political risk on stocks, oil, and gold returns during GFC, COVID-19, and Russian – Ukraine war. Cogent Economics & Finance, 11(1). https://doi.org/10.1080/23322039.2023.2190213
Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking & Finance, 55, 1–8. https://doi.org/10.1016/j.jbankfin.2015.01.013
Tran Thi Kim Oanh , Le Quoc Dinh (2023). Mối quan hệ giữa giá vàng, chỉ số thị trường chứng khoán và tỷ giá tại Việt Nam: nghiên cứu trong bối cảnh đại dịch Covid-19 và xung đột chính trị Nga-Ukraina [Relationship between gold price, stock market index and exchange rate in Vietnam: A research in the context of the Covid-19 pandemic and Russia-Ukraine conflict]. Tạp chí Kinh tế và Phát triển, 308(2), 81–91. https://doi.org/10.33301/JED.VI.980
Wang, L., Li, S., & Liang, C. (2024). Exploring the impact of oil security attention on oil volatility: A new perspective. International Finance, 27(1), 61–80. https://doi.org/10.1111/infi.12444
How to Cite
Dang , T. P. T., & Phan, T. H. N. (2026). Nonlinear spillover effects between gold and oil prices in Vietnamese and global markets: A Quantile-on-Quantile approach. Journal of Finance - Marketing Research, 4(3en), 1-14. https://doi.org/10.52932/jfmr.v4i3en.1239