Do the Green Bonds Markets React to Political Uncertainty and Financial Stress Alike?
DOI:
https://doi.org/10.47743/saeb-2025-0025Keywords:
green bonds, policy uncertainty, Wavelet Coherence, range-DCC-GARCH, financial stress.Abstract
This study investigates the dynamic relationship between political uncertainty (EPU), financial stress, and green bond returns, utilizing the Range-DCC GARCH model and wavelet coherence analysis. The primary objective is to assess how these factors interact during periods of economic and geopolitical turmoil, specifically the 2014-2016 oil crisis and the COVID-19 pandemic. Our findings reveal a positive correlation between political uncertainty and green bond returns during these crisis periods, suggesting that green bonds act as a safe haven or diversification tool when facing heightened uncertainty. The Range-DCC GARCH model confirms that EPU significantly impacts green bond returns in times of crisis, while the wavelet coherence analysis uncovers a time-frequency co-movement between financial stress, political uncertainty, and green bond performance, particularly during major disruptions. These results contribute to the understanding of green bonds' role as a resilient investment asset during times of volatility. From a practical perspective, these findings offer valuable insights for investors and policymakers seeking to enhance risk management and sustainable investment strategies amid growing uncertainties. Future research could build on these insights by incorporating additional dimensions of uncertainty such as climate risk and environmental policy uncertainty to better understand their differentiated impacts on green bond market behavior and resilience.
References
Alesina, A., Özler, S., Roubini, N., & Swagel, P. (1996). Political Instability and Economic Growth. Journal of Economic Growth, 1(2), pages189-211. http://dx.doi.org/10.1007/BF00138862
Barro, R. J. (1991). Economic Growth in a Cross Section of Countries. The quarterly journal of economics, 106(2), 407-443. http://dx.doi.org/10.2307/2937943
Batrancea, L. (2021b). Empirical Evidence Eegarding the Impact of Economic Growth and Inflation on Economic Sentiment and Household Consumption. Journal of Risk and Financial Management, 14(7), 336. http://dx.doi.org/10.3390/jrfm14070336
Batrancea, L. M. (2021a). An Econometric Approach on Performance, Assets, and Liabilities in a Sample of Banks from Europe, Israel, United States of America, and Canada. Mathematics, 9(24), 3178. http://dx.doi.org/10.3390/math9243178
Batrancea, L. M., Nichita, A., Balcı, M. A., & Akgüller, Ö. (2023). Empirical Investigation on How Wellbeing-Related Infrastructure Shapes Economic Growth: Evidence from the European Union Regions. PLoS One, 18(4), e0283277. http://dx.doi.org/10.1371/journal.pone.0283277
Bekaert, G., Harvey, C. R., Lundblad, C. T., & Siegel, S. (2016). Political Risk and International Valuation. Journal of Corporate Finance, 37(April), 1-23. http://dx.doi.org/10.1016/j.jcorpfin.2015.12.007
Burger, M., Ianchovichina, E., & Rijkers, B. (2016). Risky Business: Political Instability and Sectoral Greenfield Foreign Direct Investment in the Arab World. The World Bank Economic Review, 30(2), 306-331. http://dx.doi.org/10.1093/wber/lhv030
Butkiewicz, J. L., & Yanikkaya, H. (2006). Institutional Quality and Economic Growth: Maintenance of the Rule of Law or Democratic Institutions, or Both? Economic Modelling, 23(4), 648-661. http://dx.doi.org/10.1016/j.econmod.2006.03.004
Chau, F., Deesomsak, R., & Wang, J. (2014). Political Uncertainty and Stock Market Volatility in the Middle East and North African (MENA) countries. Journal of International Financial Markets, Institutions and Money, 28(1), 1-19. http://dx.doi.org/10.1016/j.intfin.2013.10.008
Doğan, B., Trabelsi, N., Tiwari, A. K., & Ghosh, S. (2023). Dynamic Dependence and Causality between Crude Oil, Green Bonds, Commodities, Geopolitical Risks, and Policy Uncertainty. The Quarterly Review of Economics and Finance, 89(June), 36-62. http://dx.doi.org/10.1016/j.qref.2023.02.006
Engle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models. Journal of Business & Economic Statistics, 20(3), 339-350. http://dx.doi.org/10.1198/073500102288618487
Fosu, A. K. (1992). Political Instability and Economic Growth: Evidence from Sub-Saharan Africa. Economic Development and cultural change, 40(4), 829-841. http://dx.doi.org/http://www.jstor.org/stable/1154636
Haq, I. U., Chupradit, S., & Huo, C. (2021). Do Green Bonds Act as a Hedge or a Safe Haven against Economic Policy Uncertainty? Evidence from the USA and China. International Journal of Financial Studies, 9(3), 40. http://dx.doi.org/10.3390/ijfs9030040
Huang, T., Wu, F., Yu, J., & Zhang, B. (2015). International Political Risk and Government Bond Pricing. Journal of Banking & Finance, 55(1), 393-405. http://dx.doi.org/10.1016/j.jbankfin.2014.08.003
Li, R., Tang, G., Hong, C., Li, S., Li, B., & Xiang, S. (2024). A Study on Economic policy Uncertainty, Geopolitical Risk and Stock Market Spillovers in BRICS Countries. The North American Journal of Economics and Finance, 73(C), 102189. http://dx.doi.org/10.1016/j.najef.2024.102189
Lipset, S. M. (1959). Some Social Requisites of Democracy: Economic Development and Political Legitimacy. American political science review, 53(1), 69-105. http://dx.doi.org/10.2307/1951731
Miljkovic, D., & Rimal, A. (2008). The Impact of Socio-Economic Factors on Political Instability: A Cross-country Analysis The Journal of Socio-Economics, 37(6), 2454-2463. http://dx.doi.org/10.1016/j.socec.2008.04.007
Moalla, E. (2021). L’Effet de l’Incertitude Électorale sur les Rendements des Marchés Boursiers Canadiens. (Doctoral dissertation), Université du Québec en Outaouais.
Mohammed, K. S., Serret, V., & Urom, C. (2024). The Effect of Green Bonds on Climate Risk Amid Economic and Environmental Policy Uncertainties. Finance Research Letters, 62(A), 105099. http://dx.doi.org/10.1016/j.frl.2024.105099
Molnár, P. (2016). High-Low Range in GARCH Models of Stock Return Volatility. Applied Economics, 48(51), 4977-4991. http://dx.doi.org/10.1080/00036846.2016.1170929
Pham, L., & Nguyen, C. P. (2022). How Do Stock, Oil, and Economic Policy Uncertainty Influence the Green Bond Market? Finance Research Letters, 45(4), 102128. http://dx.doi.org/10.1016/j.frl.2021.102128
Torrence, C., & Compo, G. P. (1998). A Practical Guide to Wavelet Analysis. Bulletin of the American Meteorological society, 79(1), 61-78. http://dx.doi.org/10.1175/1520-0477(1998)079
Torrence, C., & Webster, P. J. (1999). Interdecadal Changes in the ENSO–Monsoon System. Journal of climate, 12(8), 2679-2690. http://dx.doi.org/10.1175/1520-0442(1999)012
Tsagkanos, A., Argyropoulou, D., & Androulakis, G. (2022). Asymmetric Economic Effects via the Dependence Structure of Green Bonds and Financial Stress Index. The Journal of Economic Asymmetries, 26(1), e00264. http://dx.doi.org/10.1016/j.jeca.2022.e00264
Wang, Y., Yan, W., & Wang, B. (2024). Green Bond and Green Stock in China: The role of Economic and Climate Policy Uncertainty. The North American Journal of Economics and Finance, 74(C), 102228. http://dx.doi.org/10.1016/j.najef.2024.102228
Wei, P., Qi, Y., Ren, X., & Duan, K. (2022). Does Economic Policy Uncertainty Affect Green Bond Markets? Evidence from Wavelet-Based Quantile Analysis. Emerging Markets Finance & Trade, 58(15), 4375-4388. http://dx.doi.org/10.1080/1540496X.2022.2069487
Yu, Z., Khan, S. A. R., Ponce, P., de Sousa Jabbour, A. B. L., & Jabbour, C. J. C. (2022). Factors Affecting Carbon Emissions in Emerging Economies in the Context of a Green Recovery: Implications for Sustainable Development Goals. Technological Forecasting and Social Change, 176(6), 121417. http://dx.doi.org/10.1016/j.techfore.2021.121417
Zhang, S., Wu, Z., Wang, Y., & Hao, Y. (2021). Fostering Green Development with Green Finance: An Empirical Study on the Environmental Effect of Green Credit Policy in China. Journal of Environmental Management, 296(1), 113159. http://dx.doi.org/10.1016/j.jenvman.2021.113159
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