开展供应链金融信用风险评价研及风险规避策略究,对于解决商业银行开展供应
链金融业务风险管理具有重要的参考价值。
首先,分析了我国当前商业银行供应链金融业务三种主要模式及供应链金融
风险管理,探讨了供应链金融信用风险影响因素分析及评价指标的评分规则和专
门化,为商业银行构建供应链金融信用风险评价指标体系打下了基础。
其次,根据供应链模式下金融业务的特点和对象,提出了供应链金融中主要
的信用风险评价指标,并且建立了新的商业银行信用风险评价指标体系。
再次,应用灰色系统理论改进层次分析法,确定信用风险评价指标体系及权
重。即聘请同行业专家,对拟定的金融信用风险具有从属关系的目标进行客观分
析,构建判断矩阵,以白化矩阵的最大特征值对应的特征根作为权重,最后通过
一致性检验判断是否需要修正评价判断矩阵,对每一层次的评价指标采用该方
法,最终求出全部评价指标的权重值。
然后,开展了湖南省某供应链金融信用风险评价分析,即针对某特定企业供
应链体系,按照其金融信用风险评价方法得到了相应评价指标与指标权重,并与
传统的融资信贷评价进行比较,证明灰色评价能够较好的评估供应链金融信用风
险。同时,聘请不同行业与商业银行专家为其打分与分类,得到不同类别供应链
客户群,较好的规避不同行业供应链金融信用风险。
最后,在分析湖南某商业银行供应链金融业务基础上,找出存在的问题,提
出相应的风险规避策略与对策建议。尤其是制定了湖南某商业银行优势目标定位
管理体系,授信企业的主体准入和交易质量的综合评审体系,动态优化与调整了
适用湖南某商业银行的供应链信用风险评价指标体系,并构建与之适应的供应链
信用风险预警系统及配套设施。
关键词:供应链金融,信用风险评价,风险预警,风险规避,灰色层次分析法。
Analysis of commercial bank credit risk management of Supply
Chain Finance
ABSTRCT
Supply chain finance is a Comprehensive system financing solutions to make the
supply chain capital flow alive and reduce the whole financial cost of supply chain, it
is provided by the commercial banks and other financial institutions from supply
chain overall perspective. Supply chain finance is market oriented by middle and
small-sized enterprises to help those enterprises alleviate pressure of the fund through
financing and Solve the problem of the funding gap. To develop research of supply
chain finance credit risk assessment research and risk avoidance strategies, it has
important reference value to solve the problem of supply chain finance business risk
management of commercial bank.
First, we analyzed three major modes of the current supply chain finance
business for Commercial Bank and the financial risk management, and discussed the
influence factor of supply chain finance credit risk and the scoring rules of the
assessment index. This part is the basic for commercial bank to construct supply chain
finance credit risk assessment index system.
Secondly, according to the characteristics and the object under the supply chain
finance business, we extracted the main index of supply chain finance credit risk
assessment, and built a new commercial bank credit risk assessment index system.
Thirdly, the analytic hierarchy process theory to improve the application of the
grey system, determine the credit risk evaluation index system and weight. That is to
employ the same industry experts, has affiliations of financial credit risk to the target
objective analysis, constructing judgment matrix, with the biggest feature whitening
matrix values corresponding eigenvalues as weight, finally through the consistency