本文利用商业银行资产负债表数据研究了商业银行流动性风险的传染特征。经过分析认为,相对于存款市场,银行同业拆借市场的市场化程度更高,因此更能反映商业银行的流动性状况。同业拆借市场连接了各个商业银行,成为流动性风险传染的重要...本文利用商业银行资产负债表数据研究了商业银行流动性风险的传染特征。经过分析认为,相对于存款市场,银行同业拆借市场的市场化程度更高,因此更能反映商业银行的流动性状况。同业拆借市场连接了各个商业银行,成为流动性风险传染的重要渠道。因此,本文采用条件在险价值(Co Va R)方法分析了中国商业银行流动负债中的同业存放这一科目的相对指标,结果发现不同的银行具有不同的流动性风险传染特征,实际数据支持存在由规模较小的商业银行发起、通过系统重要性银行扩大而导致系统性风险的可能,并提出相应监管手段与风险应对措施的建议。展开更多
Joint loan guarantee contracts and mutual guarantee contracts among SMEs form the basis of SME guarantee networks. The expansion of these networks increases the fragility of a financial system as a result of the regio...Joint loan guarantee contracts and mutual guarantee contracts among SMEs form the basis of SME guarantee networks. The expansion of these networks increases the fragility of a financial system as a result of the regional and industrial risk contagion embedded within them. By providing a theoretical framework of a loan guarantee network, a method is proposed for calculating the amount of risk spillover caused by loan guarantees taking the perspective of the entire network. In addition,the route of risk contagion in guarantee networks is analyzed, revealing that when default risk shocks occur, risk contagion travels along the nodes not once but for several rounds and that the risk control of one firm cannot prevent these systemic risks. Therefore, a risk control scheme is designed based on the location and importance of firms in the network. Using data from a real guarantee network,we demonstrate that identifying the node locations of firms' in the guarantee network(including the coritivity and closeness of the firm) can help in understanding risk contagion mechanisms and preventing systemic credit risk before a crisis occurs.展开更多
文摘本文利用商业银行资产负债表数据研究了商业银行流动性风险的传染特征。经过分析认为,相对于存款市场,银行同业拆借市场的市场化程度更高,因此更能反映商业银行的流动性状况。同业拆借市场连接了各个商业银行,成为流动性风险传染的重要渠道。因此,本文采用条件在险价值(Co Va R)方法分析了中国商业银行流动负债中的同业存放这一科目的相对指标,结果发现不同的银行具有不同的流动性风险传染特征,实际数据支持存在由规模较小的商业银行发起、通过系统重要性银行扩大而导致系统性风险的可能,并提出相应监管手段与风险应对措施的建议。
基金supported by the National Nature Science Foundation of China under Grant Nos.71172186,71472148,71572144 and 71502138
文摘Joint loan guarantee contracts and mutual guarantee contracts among SMEs form the basis of SME guarantee networks. The expansion of these networks increases the fragility of a financial system as a result of the regional and industrial risk contagion embedded within them. By providing a theoretical framework of a loan guarantee network, a method is proposed for calculating the amount of risk spillover caused by loan guarantees taking the perspective of the entire network. In addition,the route of risk contagion in guarantee networks is analyzed, revealing that when default risk shocks occur, risk contagion travels along the nodes not once but for several rounds and that the risk control of one firm cannot prevent these systemic risks. Therefore, a risk control scheme is designed based on the location and importance of firms in the network. Using data from a real guarantee network,we demonstrate that identifying the node locations of firms' in the guarantee network(including the coritivity and closeness of the firm) can help in understanding risk contagion mechanisms and preventing systemic credit risk before a crisis occurs.
