1 Siirt University, Faculty of Economics and Administrative Sciences, Business Administration, Siirt, Türkiye
2 Bingöl University, Faculty of Economics and Administrative Sciences, Division Of Management Information Systems, Bingöl, Türkiye
3 University of Turkish Aeronautical Association, Faculty of Business Administration, Business Administration, Ankara, Türkiye
Abstract
This study explores volatility spillover mechanisms and time-varying dependence among green bonds, renewable energy, clean energy, carbon emission markets, and crude oil using daily data from December 2014 to January 2025. A Dynamic Conditional Multivariate Stochastic Volatility (DC-MSV) framework is employed to jointly model latent volatility dynamics and evolving cross-market correlations. The results indicate that linkages between green bonds and crude oil remain consistently weak and unstable over time, suggesting limited volatility transmission from fossil fuel markets to green bond assets. In contrast, renewable energy, clean energy, and carbon markets display stronger and more persistent interconnections, particularly during periods of elevated market uncertainty. Volatility persistence is more pronounced in energy-related markets than in green bonds, reflecting their sensitivity to policy interventions and technological changes. Overall, the findings highlight the role of green bonds as a stabilizing asset that enhances portfolio diversification under energy market volatility. The study provides relevant insights for investors, policymakers, and risk managers in the context of sustainable financial markets.
Keywords
Green bonds,Energy markets,Crude oil,Stochastic volatility,Sustainable finance
How to Cite
BAYDAŞ , Y., KILIÇ , E., & KÖSE , Y. (2026). Volatility Spillover Dynamics among Green Bonds, Renewable Energy, Clean Energy, Carbon Markets, and Oil. MAS Journal of Applied Sciences, 11(2), 189–205. https://doi.org/10.5281/zenodo.20283597
📄Alharbi, S.S., Al Mamun, M., Boubaker, S., Rizvi, S.K.A., 2023. Green finance and renewable energy: Worldwide evidence. Energy Economics, 118: 106499.
📄Azhgaliyeva, D., Kapoor, A., Liu, Y., 2020. Green bonds for financing renewable energy and energy efficiency in South-East Asia. Journal of Sustainable Finance & Investment, 10(2): 113–140.
📄Azhgaliyeva, D., Kapsalyamova, Z., Mishra, R., 2022. Oil price shocks and green bonds. Energy Economics, 112: 106108.
📄Baştürk, M.F., 2024. Green bonds and renewable energy production: EU evidence. Journal of Productivity, 58(3): 325–336.
📄Dai, Z., Zhang, X., Yin, Z., 2023. Extreme time-varying spillovers between high-carbon stocks, green bonds and oil. Energy Economics, 118: 106511.
📄Dash, A., Ghoshal, T.K., Basu, P.N., 2009. A review of stochastic volatility models. International Review of Applied Financial Issues and Economics, 1(1): 83–98.
📄Dickey, D.A., Fuller, W.A., 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366): 427–431.
📄Dickey, D.A., Fuller, W.A., 1981. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4): 1057–1072.
📄Dutta, A., Jana, R.K., Das, D., 2020. Do green investments react to oil price shocks? Journal of Cleaner Production, 266: 121956.
📄Ehlers, T., Mojon, B., Packer, F., 2020. Green Bonds and Carbon Emissions: Exploring the Case for a Rating System at the Firm Level (https://ssrn.com/abstract=3748440) (Accessed: 10.02.2025)
📄International Capital Market Association. 2025. The green bond principles.
📄Jin, J., Han, L., Wu, L., Zeng, H. 2020. Hedging effect of green bonds on carbon market risk. International Review of Financial Analysis, 71: 101509.
📄Kartal, M.T., Taşkın, D., Depren, S.K., 2024. Environmental degradation, geopolitical risk and green bonds. Gondwana Research, 132: 249–258.
📄Lee, C.C., Lee, C.C., 2022. How does green finance affect green total factor productivity? Evidence from China. Energy Economics, 107: 105863.
📄Li, C., Cao, X., Wang, Z., Zhang, J., Liu, H. 2025. The impact of green bond issuance on corporate green innovation. International Review of Financial Analysis, 102: 104113.
📄MacAskill, S., Roca, E., Liu, B., Stewart, R. A., Sahin, O., 2021. Is there a green premium in the green bond market? Systematic literature review revealing premium determinants. Journal of Cleaner Production, 280: 124491.
📄Marín-Rodríguez, N.J., González-Ruiz, J.D., Botero, S., 2022. Green bonds, CO₂ emissions and oil prices. Frontiers in Environmental Science, 10: 992726.
📄Mensi, W., 2022. Spillovers between green bonds, oil, and G7 stock markets. Energy Economics, 112: 106108.
📄Nguyen, T.T.H., Naeem, M.A., Balli, F., Balli, H.O., Vo, X.V., 2021. Time-frequency connectedness among green bonds, commodities, and stock markets. Energy Economics, 99: 105304.
📄Phillips, P.C.B., Perron, P., 1988. Testing for a unit root in time series regression. Biometrika, 75(2): 335–346.
📄Rasoulinezhad, E., Taghizadeh-Hesary, F., 2022. Role of green finance in improving energy efficiency and renewable energy development. Energy Efficiency, 15(2): 14.
📄Su, Y.H., Rizvi, S.K.A., Umar, M., Chang, H., 2023. Relationship between oil and green bonds. Energy Economics, 127: 107043.
📄Tiwari, A.K., Abakah, E.J.A., Gabauer, D., Dwumfour, R.A., 2022. Spillovers among green bonds, renewable energy stocks and carbon markets. Global Finance Journal, 51: 100692.
📄Umar, Z., Abrar, A., Hadhri, S., Sokolova, T. 2023. Connectedness of oil shocks, green bonds and conventional bonds. Energy Economics, 119: 106562.
📄Wang, J., Chen, X., Li, X., Yu, J., Zhong, R. 2020. The market reaction to green bond issuance: Evidence from China. Pacific-Basin Finance Journal, 60: 101294.
📄Wu, R., Qin, Z., 2024. Asymmetric volatility spillovers among ESG, green bonds and carbon markets. Energy, 292: 130504.
📄Ye, X., Rasoulinezhad, E., 2023a. Assessment of the impacts of green bonds on renewable energy utilisation efficiency. Renewable Energy, 202: 626–633.
📄Ye, X., Rasoulinezhad, E., 2023b. Green bonds and renewable energy development efficiency. Renewable Energy, 202: 626–633.
📄Yousaf, I., Mensi, W., Vo, X.V., Kang, S.H., 2024. Dynamic spillovers and connectedness between crude oil and green bond markets. Resources Policy, 89: 104594.
📄Yu, J., Meyer, R. 2006. Multivariate stochastic volatility models: Bayesian estimation and model comparison. Econometric Reviews, 25(2-3): 361-384.
📄Zhang, J., Chen, Z., Altuntaş, M., 2022. Tracing volatility in natural resources and green finance. Resources Policy, 79: 102946.
📄Zheng, H., Wang, S., Zhang, T., 2025. Dynamic risk spillovers between green bonds and energy markets: New evidence from the GARCH-MIDAS-D-Copula-CoVaR approach considering uncertainties. Renewable Energy, 239: 122129.
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