Science, Technology, Engineering and Mathematics.
Open Access

VOLATILITY SPILLOVER BETWEEN HUBEI CARBON MARKET AND GREEN FINANCIAL MARKET: EVIDENCE FROM TVP-VAR-DY MODEL

Download as PDF

Volume 3, Issue 3, Pp 12-18, 2025

DOI: https://doi.org/10.61784/wms3073

Author(s)

Ying Huang1*, ZheZhen Wang2, QiHang Wang2

Affiliation(s)

1School of Foreign Languages, Wuhan City Polytechnic, Wuhan 430064, Hubei, China.

2School of Economics and Management, Wuchang Shouyi University, Wuhan 430064, Hubei, China.

Corresponding Author

Ying Huang

ABSTRACT

In the context of the global climate crisis and China’s dual-carbon target, a Time-Varying Parameter Vector Autoregression-Diebold-Yilmaz (TVP-VAR-DY) model is employed to examine risk spillovers between Hubei carbon and green financial market from January 5th, 2016 to January 6th, 2025. According to the findings, Hubei’s carbon-green finance system exhibits moderate and time-varying volatility spillover. Green equities predominantly function as information transmitters, whereas green bonds act as receivers, showing risk concentration within the green stock-bond nexus rather than carbon-finance linkages. Then, exogenous shocks such as trade conflict, the COVID-19 pandemic and carbon policy adjustments amplify cross-market spillover intensity. These findings elucidate risk transmission mechanisms in climate-aligned markets, provide investors with portfolio rebalancing insights and enhance regulators’ systemic risk monitoring capabilities.

KEYWORDS

Hubei carbon market; Green bond market; Green stock market; Volatility spillover effects; TVP-VAR-DY model

CITE THIS PAPER

Ying Huang, ZheZhen Wang, QiHang Wang. Volatility spillover between Hubei carbon market and green financial market: evidence from TVP-VAR-DY model. World Journal of Management Science. 2025, 3(3): 12-18. DOI: https://doi.org/10.61784/wms3073.

REFERENCES

[1] 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. Energy, 2019, 172(8): 1198-1210.

[2] Tan X, Sirichandet K, Vivian A, et al. How Connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics. Energy Economics, 2020, 90(8): 104870.

[3] Du H, Wang J. Study on extreme risk spillovers among international carbon markets, crude oil markets and stock markets-based on TVP-VAR-DY model. Financial Economics, 2022, 12: 58-67.

[4] Jin J, Han L, Wu L, et al. The hedging effect of green bonds on carbon market risk. International Review of Financial Analysis, 2020, 71: 101509.

[5] Hanif W, Hernandez J A, Mensi W, et al. Nonlinear dependence and connectedness between clean/renewable energy sector equity and European emission allowance prices. Energy Economics, 2021, 101: 105409.

[6] Zhu Y. Spillover Effects between Carbon Emission Trading Market and Green Securities Market in China. China, Hubei: Zhongnan University of Economics and Law, 2022.

[7] Zhang Y, Muhammad U. Examining the interconnectedness of green finance: an analysis of dynamic spillover effects among green bonds, renewable energy, and carbon markets. Environmental Science and Pollution Research, 2023, 30(31): 77605-77621.

[8] Deng J, Zheng Y, Gu X, et al. Spillover effects between carbon market and green finance market in China. Finance Theory and Practice, 2023, 7: 47-59.

[9] Hui T, Wang Z, He Z. Study on the spillover effects of carbon market, green finance and energy market under time-frequency perspective. Soft Science, 2025, 334: 1-14.

[10] Hubei Provincial Department of Ecology. Hubei: innovative “carbon market + carbon finance + carbon inclusion” model to boost green, low-carbon and high-quality development. China Environmental Monitor, 2024, 9: 41-42.

[11] Lin J, Cao D. Accelerating the construction of “Hubei Model” of green finance. China Foreign Investment, 2024, 6: 69-71.

[12] Meiruo M. Promoting the synergistic development of three markets: electricity, carbon and finance. Financial Times, 2025, 5: 1-10.

[13] Diebold F X, Yilmaz K. Measuring financial asset return and volatility spillovers, with Application to global equity markets. The Economic Journal, 2009, 119(534): 158-171.

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

[15] Diebold F X, Yilmaz K. On the network topology of variance decompositions: measuring the connectedness of financial firms. Journal of Econometrics, 2014, 182(1): 119-134.

All published work is licensed under a Creative Commons Attribution 4.0 International License. sitemap
Copyright © 2017 - 2025 Science, Technology, Engineering and Mathematics.   All Rights Reserved.