Spillover effects between green bond markets and major financial markets

Yuhan Ding; Zhiyu An

doi:10.62051/dxpvz185

Authors

Yuhan Ding
Zhiyu An

DOI:

https://doi.org/10.62051/dxpvz185

Keywords:

green bond market; spillover effects; spillover index; spillover network.

Abstract

The study of spillover effects between the green bond market and major financial markets is of guiding significance for the development of a strong and sustainable green financial system to help realize the national goals of carbon peaking and carbon neutrality. This paper constructs the spillover index matrix through generalized vector autoregression and prediction error variance decomposition, studies the static and dynamic spillover between the green bond market and other major financial markets from the perspective of time and frequency domains, and further explores the mechanism and law of the spillover effect through the construction of the spillover network structure diagram. The conclusion is that there is a strong spillover effect between the green bond market and other major financial markets, which is asymmetric, and the spillover effect of negative return series is stronger than that of positive return series. In addition, the spillover effects among markets are strongest in the short term and gradually weaken in the medium and long term, and will be stronger in the case of high market uncertainty, such as the New Crown Pneumonia outbreak.

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References

[1] Wang Xiping, Wang Wanchen. Research on risk spillover effect between carbon market and stock market [J]. Technical Economics, 2021, 41 (6): 131 - 142.

[2] Xie Q, Cheng L, Liu R, et al. COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis [J]. Financ Res Lett, 2023, 52: 103545.

[3] Vukovic D B, Frömmel M, Vigne S A, et al. Spillovers between cryptocurrencies and financial markets in a global framework [J]. Journal of International Money and Finance, 2024.

[4] Wen F, Wang K, Zeng A. Return spillover across the carbon market and financial markets: a quantile-based approach [J]. Research in International Business and Finance, 2024, 69.

[5] Lin B, Chen Y. Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: a case of Beijing CET market in China [J]. Energy, 2019, 172: 1198 - 1210.

[6] Reboredo J C. Green bond and financial markets: co-movement, diversification and price spillover effects [J]. Energy Economics, 2018, 74: 38 - 50.

[7] Reboredo J, Ugolini A. Price connectedness between green bond and financial markets [J]. Economic Modelling, 2020, 88: 25 - 38.

[8] Naeem M A, Adekoya O B, Oliyide J A. Asymmetric spillovers between green bonds and commodities [J]. Journal of Cleaner Production, 2021, 314.

[9] Elsayed A H, Naifar N, Nasreen S, et al. Dependence structure and dynamic connectedness between green bonds and financial markets: fresh insights from time-frequency analysis before and during COVID-19 pandemic [J]. Energy Economics, 2022, 107.

[10] Yadav M P, Pandey A, Taghizadeh-Hesary F, et al. Volatility spillover of green bond with renewable energy and crypto market [J]. Renewable Energy, 2023, 212: 928 - 939.

[11] Yousaf I, Mensi W, Vo X V, et al. Dynamic spillovers and connectedness between crude oil and green bond markets [J]. Resources Policy, 2024, 89.

[12] Lin B, Chen Y. Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China [J]. in China [J]. Energy, 2019, 172: 1198 - 1210.

[13] Ji Q, Bouri E, Lau C K M, et al. Dynamic connectedness and integration in cryptocurrency markets [J]. International Review of Financial Analysis, 2019, 63: 257 - 272.

[14] Deng J, Guan S, Zheng H, et al. Dynamic spillovers and asymmetric connectedness between fossil energy and green financial markets: Evidence from China [J]. Frontiers in Energy Research, 2022, 10.

[15] Jiang W, Gao R, Lu C. The Analysis of Causality and Risk Spillover between Crude Oil and China's Agricultural Futures [J]. Int J Environ Res Public Health, 2022, 19 (17).

[16] Xie Q, Cheng L, Liu R, et al. COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis [J]. Financ Res Lett, 2023, 52: 103545.

[17] Jin X, Liu Y, Yu J, et al. Extreme risk spillovers in international energy markets: New insights from multilayer networks in the frequency domain [J]. Energy Economics, 2024, 139.

[18] Kocaarslan B. Dynamic spillovers between oil market, monetary policy, and exchange rate dynamics in the US [J]. Finance Research Letters, 2024, 69.

[19] Chiappari M, Scotti F, Flori A. Market responses to spillovers in the energy commodity markets: evaluating short-term vs. long-term effects and business-as-usual vs. distressed phases [J]. International Review of Financial Analysis, 2024, 96.

[20] Elsayed A H, Asutay M, ElAlaoui A O, et al. Volatility spillover across spot and futures markets: Evidence from dual financial system [J]. Research in International Business and Finance, 2024, 71.

[21] Zhang W, Zhuang X, Wang J, et al. Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network [J]. The North American Journal of Economics and Finance, 2020, 54.

[22] Diebold F X, Yilmaz K. Better to give than to receive: Predictive directional measurement of volatility spillovers [J]. International Journal of Forecasting, 2012, 28 (1): 57 - 66.

[23] Broadstock D C, Cheng L T W. Time-varying relation between black and green bond price benchmarks: Macroeconomic determinants for the first decade [J]. Finance Research Letters, 2019, 29: 17 - 22.

[24] Zhang H, Gong Z, Yang Y, et al. Dynamic connectedness between China green bond, carbon market and traditional financial markets: Evidence from quantile connectedness approach [J]. Finance Research Letters, 2023, 58.