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我国保险市场对系统重要性银行的风险溢出效应研究
Research on the Risk Spillover Effect of China’s Insurance Market on Systemically Important Banks

DOI: 10.12677/ecl.2024.132297, PP. 2432-2447

Keywords: 保险市场,系统重要性银行,分位数回归CoVaR
Insurance Market
, SIBS, CoVaR of Quantile Regression

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Abstract:

基于5家保险公司和使用指标法确定的16家系统重要性银行的股票收益率数据,使用分位数回归CoVaR模型,实证分析了我国保险市场对系统重要性银行的风险溢出,及对比分析疫情前后保险市场对系统重要性银行的风险溢出。结果显示,保险市场对各银行均存在风险溢出,其中股份制银行对保险市场风险变动最敏感,其次是城市商业银行和国有银行,而受保险市场溢出影响最大的顺序刚好相反;新冠疫情爆发会放大机构自身风险,降低保险市场对银行的风险溢出。
This paper empirically analyses the risk spillover from China’s insurance market to systemically important banks based on stock return data from five insurance companies and 16 systemically important banks identified using the indicator method, using CoVaR of quantile regression, and comparatively analysing the risk spillover from the insurance market to systemically important banks before and after the epidemic. The results show that the insurance market has risk spillovers to all banks, with joint-stock banks being the most sensitive to risk changes in the insurance market, followed by city commercial banks and state-owned banks, while the order of the most affected by insurance market spillovers is just the opposite; the outbreak of the COVID-19 the institution’s own risk and reduces the risk spillovers from the insurance market to banks.

References

[1]  Billio, M., Getmansky, M., Lo, A.W. and Pelizzon, L. (2012) Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors. Journal of Financial Economics, 104, 535-559.
https://doi.org/10.1016/j.jfineco.2011.12.010
[2]  刘璐, 韩浩. 我国保险市场与银行市场间的风险溢出效应研究——基于上市银行和保险公司的实证分析[J]. 保险研究, 2016(12): 3-14.
[3]  Chang, C.W., Li, X., Lin, E.M.H., et al. (2017) Systemic Risk, Interconnectedness, and Non-Core Activities in Taiwan Insurance Industry. International Review of Economics & Finance, 55, 273-284.
https://doi.org/10.1016/j.iref.2017.07.014
[4]  王培辉, 尹成远, 袁薇. 我国保险业系统性风险溢出效应研究——基于时变Copula-CoVaR模型[J]. 南方金融, 2017(2): 14-24.
[5]  韩浩, 王向楠, 刘璐. 保险业系统性风险及对相关行业的溢出效应研究[J]. 保险研究, 2020(7): 31-48.
[6]  Brock, W.C. and Wagener, H.F. (2009) More Hedging Instruments May Destabilize Markets. Journal of Economic Dynamics and Control, 33, 1912-1928.
https://doi.org/10.2139/ssrn.933043
[7]  毛奉君. 系统重要性金融机构监管问题研究[J]. 国际金融研究, 2011(9): 78-84.
[8]  巴曙松, 高江健. 基于指标法评估中国系统重要性银行[J]. 财经问题研究, 2012(9): 48-56.
[9]  任碧云, 连东青. 国内系统重要性银行识别及其监管——基于指标法和熵值法的分析[J]. 山西大学学报(哲学社会科学版), 2018, 41(2): 111-118.
[10]  杨霞, 王百川, 李毅. 重大公共卫生事件对中国保险业的影响研究——基于非典和新冠肺炎疫情的思考[J]. 金融经济学研究, 2020, 35(3): 28-39.
[11]  Adrian, T. and Brunnermeier, K. (2011) CoVaR. NBER Working Paper, No.17454.
https://doi.org/10.3386/w17454
[12]  Adrian, T. and Brunnermeier, K. (2016) CoVaR. American Economic Review, 106, 1705-1741.
https://doi.org/10.1257/aer.20120555

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