Academic Journal of Business & Management, 2022, 4(16); doi: 10.25236/AJBM.2022.041614.
Cheng Liu
School of Economics, Huazhong University of Science and Technology, Wuhan, 430074, China
This paper uses the DCC-GARCH model to conduct a cross-sectional comparison study of the risk spillover effect between the green bond market, the traditional stock market and the low carbon industry stock market in China. The empirical results show that the risk spillover effect between the green bond market and the two stock markets is weak, while the risk spillover effect between the stock markets is the most significant; the risk spillover effect between the green bond market and the low carbon industry stock market is stronger than the dependence between it and the traditional stock market.
green bonds; stock market; DCC-GARCH modeling; risk spillover
Cheng Liu. A comparative study of risk spillover effects between China's green bond market and other equity markets. Academic Journal of Business & Management (2022) Vol. 4, Issue 16: 85-89. https://doi.org/10.25236/AJBM.2022.041614.
[1] Gianfrate, G., & Peri, M. (2019). The green advantage: Exploring the convenience of issuing green bonds. Journal of cleaner production, 219, 127-135.
[2] Tang, D. Y., & Zhang, Y. (2020). Do shareholders benefit from green bonds?. Journal of Corporate Finance, 61, 101427.
[3] Kumar, S., Managi, S., & Matsuda, A. (2012). Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis. Energy Economics, 34(1), 215-226.
[4] Pham, L. (2016). Is it risky to go green? A volatility analysis of the green bond market. Journal of Sustainable Finance & Investment, 6(4), 263-291.
[5] Reboredo, J. C., Ugolini, A., & Aiube, F. A. L. (2020). Network connectedness of green bonds and asset classes. Energy Economics, 86, 104629.
[6] Reboredo, J. C. (2018). Green bond and financial markets: Co-movement, diversification and price spillover effects. Energy Economics, 74, 38-50.
[7] Hou, Y., & Li, S. (2016). Information transmission between US and China index futures markets: An asymmetric DCC GARCH approach. Economic Modelling, 52, 884-897.
[8] Yue, Y. D., Liu, D. C., & Shan, X. U. (2015). Price linkage between Chinese and international nonferrous metals commodity markets based on VAR-DCC-GARCH models. Transactions of Nonferrous Metals Society of China, 25(3), 1020-1026.
[9] Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of econometrics, 31(3), 307-327.
[10] 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.