在国际金融环境和金融市场变幻莫测的情况下，防范系统性金融风险成为各国政府重要研究课题。文章通过构建系统性金融风险指标体系，运用向量自回归模型（VAR）研究不同类型的货币政策对我国系统性金融风险的影响程度。研究结果表明：“数量型”货币政策对系统性金融风险具有正向的冲击效应，在积极的货币政策下，市场货币供应量的增多容易造成系统性金融风险集聚；“价格型”货币政策对系统性金融风险具有负向的冲击作用，通过调节利率对系统性金融风险产生不同程度（上升或下降）的影响。因此，协调搭配运用“数量型”“价格型”货币政策工具有助于守住不发生系统性金融风险，稳定金融市场。

In the context of the ever-changing international financial environment and financial markets, preventing systemic financial risks has become an important research topic for governments of various countries. By constructing a systemic financial risk indicator system, this article mainly uses the vector autoregressive model VARto study the impact of different types of monetary policies on China忆s systemic financial risk. The research results show that:"quantity" monetary policy has a positive impact on systemic financial risks. Under the active monetary policy, the increase of market money supply is likely to cause the accumulation of systemic financial risks; "price" monetary policy has a negative impact on systemic financial risks. By adjusting interest rates, systemic financial risks will have varying degrees of impact up or down. Therefore, it is found that the coordinated use of "quantity" and "price" monetary policy tools can help to prevent systemic financial risks and stabilize financial markets.