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Commercial bank credit risk management based on grey incidence analysis

机译:基于灰色关联度分析的商业银行信用风险管理

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Purpose - This paper attempts to analysis the credit risk at the angle of industrial and macroeconomic factor using grey incidence analysis method. Design/methodology/approach - Credit asset quality problem is one of the obstacles limiting the further development of commercial banks; the research on credit risk becomes an important part of the implementation of a commercial bank's risk management. Different industries may have different effects on the credit risk of commercial bank. This paper proposes finding out the different incidences between industries and credit risk, as well as macroeconomics. Incidence identification method is established to investigate whether the industry and macroeconomic factor could affect an impaired loan ratio of a bank using the grey incidence analysis method. Findings - The results indicate that the impaired loan ratio differs with diverse industry's influence and the macroeconomics also affect it. From the angle of the industry, the result can also determine the risk deviation scope in the grey risk control process which offers new content and ideas within the grey risk control. Practical implications - Under the guidance of the principle of "differential treatment, differential control", this research will help to strengthen the implementation of differentiated credit policy, focus on guiding and promoting the optimization of credit structure, so as to maintain a reasonable size of credit facilities and build a steady currency credit system. Originality/value - The paper succeeds in finding the top five influent industries compared with others by using one of the newest developed theories: grey systems theory.
机译:目的-本文尝试使用灰色关联分析法从工业和宏观经济因素的角度分析信用风险。设计/方法/方法-信贷资产质量问题是限制商业银行进一步发展的障碍之一;信用风险研究成为商业银行风险管理实施的重要组成部分。不同行业对商业银行信用风险的影响可能不同。本文建议找出行业与信用风险以及宏观经济学之间的不同发生率。运用灰色关联度分析法建立了关联度识别方法,以研究行业和宏观经济因素是否会影响银行的贷款比率受损。调查结果-结果表明,减值贷款比率因不同行业的影响而不同,并且宏观经济也对其产生影响。从行业的角度来看,结果还可以确定灰色风险控制过程中的风险偏差范围,从而为灰色风险控制提供新的内容和思路。实际意义-在“差别对待,差别控制”原则的指导下,本研究将有助于加强差别化信贷政策的实施,着重于指导和促进信贷结构的优化,从而保持合理的信贷规模。信贷便利,建立稳定的货币信贷体系。原创性/价值-通过使用最新发展的理论之一:灰色系统理论,本文成功地找到了与其他行业相比排名前五的行业。

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