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2025, 01, v.40 50-64
全球金融风险溢出对中国系统性金融风险的影响
基金项目(Foundation): 国家社会科学基金一般项目“数字金融项目支持中小民营企业融资生态链研究”(19BJL075)
邮箱(Email):
DOI: 10.20207/j.cnki.1007-3116.2025.0007
摘要:

为了研究外部风险输入对中国金融稳定的影响,首先利用全球股票市场的日频交易数据,采用网络关联度模型构建了全球金融风险溢出网络,并基于该网络对中国面临的外部风险输入进行了量化。然后,从传染性的视角出发,从市场、行业和机构的角度测度了中国系统性金融风险,并对外部风险输入和中国系统性金融风险的静态结构和演化动态进行了讨论。最后,采用分位数对分位数方法(Quantile-on-Quantile Approach)进行实证分析,研究了全球金融风险溢出对中国系统性金融风险的影响在两者不同分位点上的差异。研究发现,在极端分位点上,内外风险的共振较为剧烈,而在较为温和的分位点上,这种共振的强度较弱。基于研究结果,监管部门可提高系统性金融风险监测的实时性与有效性,以防范外部风险输入引发的国内风险的共振。

Abstract:

As economic and financial globalization continues to deepen, the degree of financial interconnectedness among countries has significantly increased, thereby a complex financial network system is constructed.To analyze the impact of external risk factors on the financial stability of China, this article utilizes the network connectedness model to investigate the overall level, static structure, and dynamic evolution of the global financial risk contagion network across various periods.Furthermore, systemic financial risk is measured in China from the perspectives of financial markets, financial industries and financial institutions.The quantile-on-quantile approach(QQA) is employed to analyze the impact of global financial risk spillovers on China's systemic financial risk across different quantile levels.Findings of the research are as follows:(1) Sudden events in the economic, financial, and political spheres tend to elevate the overall level of global financial risk spillover.(2) Developed countries are often net sources of risk spillover, whereas developing countries are primarily net recipients of risk.China frequently assumes the role of a risk recipient during periods of heightened global financial risk.(3) China's systemic risk level is influenced by a combination of domestic and international factors.The risk from the perspective of financial institutions is relatively stable, followed by the perspective of financial markets.The perspective of financial industries exhibits higher volatility.(4) Regression analysis indicates that when both global financial risk and China's systemic financial risk are at relatively low levels, the spillover from global financial risk quickly pushes China's systemic financial risk into a “Steady-state risk zone”.However, if both levels continue to rise, domestic systemic risk escalates sharply, leading to significant internal and external risk resonance.Historically, due to the absence of a severe financial crisis in China, the impact of external risk shocks is significantly mitigated by a series of interventions from decision-making departments.Effective policy interventions help the domestic financial system return to the “Steady-state risk zone”.Based on these findings, several countermeasures and suggestions are put forward:(1) Financial regulatory authorities should closely monitor factors that could trigger resonance in China's domestic financial market during periods of high-risk fluctuations in the international financial market and implement interventions to prevent the spread of panic.(2) Regulatory authorities should devise tailored control strategies to mitigate the adverse externalities of risk spillovers, thereby minimizing potential threats to the financial system.(3) Given the complexity of systemic financial risk, regulatory authorities should integrate real-time monitoring results of systemic financial risk levels to enhance the efficiency of systemic financial risk management.

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(1)作者认为风险的传染是风险的有向溢出过程或结果,因此本文在表达上并未严格区分“风险溢出”和“风险传染”。

(2)16个G20国家包括中国、加拿大、美国、英国、法国、德国、日本、巴西、俄罗斯、印度、墨西哥、阿根廷、土耳其、韩国、印度尼西亚和澳大利亚。其股票市场指数分别对应上证指数、加拿大S&PTSX综合、标普500、英国富时100、法国CAC40、德国DAX、日经225、巴西IBOVESPA指数、RTS指数、印度SENSEX30、墨西哥MXX、阿根廷MERV、伊斯坦堡ISE100、韩国综合指数、印尼综指和澳大利亚普通股指数。以上数据均来源于Wind数据库。

(3)数据来源:世界银行。

(4)市场i对市场j的净溢出等于市场i对市场j的溢出减去市场j对市场i的溢出。

(5)分别计算每一市场对所有其余市场风险净溢出的总和,用以表示该市场风险净溢出水平。

(6)风险净溢出水平排名前4的市场(共16个市场),被认为是风险净溢出水平较高的市场。

(7)本文所有纳入时域的风险溢出动态测度均采用时变参数频域关联度模型(TVP frequency connectedness approach),滚动窗口设置为250天得到,后续将不再赘述。

(8)其中,银行业金融机构共16家,包括工商银行、农业银行、中国银行、建设银行、交通银行、招商银行、兴业银行、浦发银行、中信银行、平安银行、民生银行、光大银行、北京银行、华夏银行、宁波银行和南京银行。证券业金融机构共12家,包括中信证券、海通证券、中油资本、广发证券、华泰证券、招商证券、光大证券、国投资本、兴业证券、长江证券、国元证券和越秀资本。保险业金融机构共4家,包括中国太保、中国人寿、中国平安和天茂集团。

(9)将解释变量滞后一期处理,以解决变量同期性带来的潜在内生性问题。

(10)左侧坐标系是3D视角下的QQA系数矩阵,右侧坐标系是左侧图像在xy平面上的投影。其中x轴(横轴)表示全球金融风险对中国溢出指标的各分位点,y轴(纵轴)表示不同视角下中国的系统性金融风险状况的各分位点,z轴表示系数β1(θ,τ)的估计结果,下同。

基本信息:

DOI:10.20207/j.cnki.1007-3116.2025.0007

中图分类号:F832.6

引用信息:

[1]马德功,周进为.全球金融风险溢出对中国系统性金融风险的影响[J].统计与信息论坛,2025,40(01):50-64.DOI:10.20207/j.cnki.1007-3116.2025.0007.

基金信息:

国家社会科学基金一般项目“数字金融项目支持中小民营企业融资生态链研究”(19BJL075)

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