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中国金融压力指数及监测效能评估

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本文针对传统金融压力指数与经济现实间逻辑关联不强、使用固定权重导致指数难以精确测度实时金融风险的问题,对金融压力指数合成方法进行了改进.应用改进方法编制的金融压力指数理论逻辑更严谨,监测效能明显增强.检验结果显示,改进后的金融压力指数大多数时间处于低风险状态,而少数高风险状态与我国重大金融风险事件相吻合,识别机制更接近"触发式",其对外部冲击更敏感、应对风险事件响应更及时,且敏感性、特异性有所提升,是监测金融风险的有效指标.
China Financial Stress Index and Monitoring Effectiveness Evaluation
This paper addresses the weak logical correlation between traditional financial stress indices and economic realities,as well as the difficulty in accurately measuring real-time financial risks due to the use of fixed weights.It proposes to improve the synthesis method of financial stress indices.The theoretical logic of the revised method is more rigorous,and the monitoring effectiveness is significantly enhanced.The test results indicate that the improved financial stress index mostly remains in a low-risk state,with occasional high-risk states coinciding with major financial risk events in China.The identification mechanism is closer to a"trigger-based"approach,making it more sensitive to external shocks and responsive to risk events in a timely manner.The sensitivity and specificity have also improved,making it an effective indicator for monitoring financial risks.

Systemic Financial RiskFinancial Stress IndexMacroprudential PolicyMachine LearningDynamic Weighting

杨立勋、林嘉懿、孟上诗

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西北师范大学经济学院 730070

系统性金融风险 金融压力指数 宏观审慎政策 机器学习 动态权重

国家社会科学基金西部项目

22XJL012

2024

上海经济研究
上海社会科学院经济研究所

上海经济研究

CSTPCDCSSCICHSSCD北大核心
影响因子:1.035
ISSN:1005-1309
年,卷(期):2024.(1)
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