Identifying Systemically Important Banks in China Based on the CoVaR Model

Authors

  • JIE Yang Guangdong University of Foreign Studies

DOI:

https://doi.org/10.1956/jge.v19i1.680

Keywords:

conditional value-at-risk, systemic risk, systemically important banks

Abstract

This paper measures the contribution value of 16 listed banks in China to systemic risk using a CoVaR model with quantile regression, using daily stock price data from 2015 to 2021. The systemically important banks in China are selected by ranking the magnitude of the contribution value to systemic risk. The results of this paper's selection overlap with the official list of Chinese systemically important banks in 2022, which verifies the reliability of the paper's calculation results and provides data support for the differentiated regulation of systemic banks in China.

References

Acharya, V., Engle, R., & Richardson, M. (2012). Capital shortfall: A new approach to ranking and regulating systemic risks. American Economic Review, 102(3), 59-64.

Acharya, V. V., Cooley, T., Richardson, M., & Walter, I. (2010). Manufacturing tail risk: A perspective on the financial crisis of 2007-2009. Foundations and Trends® in Finance, 4(4), 247-325.

Adrian, T., & Brunnermeier, M. K. (2016). CoVaR. The American Economic Review, 106(7), 1705.

Ananou, F., Chronopoulos, D. K., Tarazi, A., & Wilson, J. O. (2021). Liquidity regulation and bank lending. Journal of Corporate Finance, 69, 101997.

Benoit, S., Colliard, J. E., Hurlin, C., & Pérignon, C. (2017). Where the risks lie: A survey on systemic risk. review of Finance, 21(1), 109-152.

Brownlees, T., & Engle, R. (2015). SRISK: A condifional capital shortfall index for systemic risk measurement.

Greenwood, R., Landier, A., & Thesmar, D. (2015). Vulnerable banks. journal of financial economics, 115(3), 471-485.

Petrella, G., & Resti, A. (2013). Supervisors as information producers: do stress tests reduce bank opaqueness? Journal of Banking & Finance, 37(12), 5406-5420.

Xu, F. (2022). Modeling the Paths of China's Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis. Computational Economics, 1-27.

Downloads

Published

19.03.2023

How to Cite

Yang, J. (2023) “Identifying Systemically Important Banks in China Based on the CoVaR Model”, Journal of Global Economy, 19(1), pp. 20–34. doi: 10.1956/jge.v19i1.680.

Issue

Section

Articles

Similar Articles

1 2 3 4 5 6 7 8 9 10 11 > >> 

You may also start an advanced similarity search for this article.