摘要：The US subprime mortgage crisis erupted in 2007, and the most fundamental reason was the depletion of financial intermediation liquidity. The rapid spread of liquidity crisis in the interconnected financial markets, so financial institutions took excessive risks and collapsed. Then the final liquidity risk evolved into systemic risk. Firstly, this paper studies the development history and the latest progress of systematic risk management, the theory of liquidity risk management and the theory of risk-taking behavior management. The paper constructed two dynamic Division number regression to measures ΔCoVaR of 16 commercial banks. Then the dynamic panel regression model is built, which takes the liquidity risk index of individual commercial bank and the interaction between individual commercial bank liquidity risk index and risk-taking index as the main explanatory variables to analyze the banking systemic risk. The research finds that the greater the liquidity risk of individual commercial banks, the higher the contribution of their systemic risk. The risk-taking of individual commercial bank can play an effective role in regulating and weakening its ΔCoVaR. In addition, the large size of the bank does not mean that the greater the contribution of its systemic risk. In terms of liquidity risk regulation, banks would better use liquidity creation indicators and liquidity ratios, rather than loan-to-deposit ratios. Finally, combined with the results of empirical analysis and theoretical analysis, this paper puts forward some suggestions on bank risk management .
关键词：Commercial Bank Risk Management;Banking Systemic Risk;Liquidity Risk;CoVaR;Dynamic Quantile Regression
