A Study On Credit Risk Management Of Small And Medium-Sized Enterprises Of Commercial Banks In China

As the "active cells" of China’s market economy,SMEs play a vital role in increasing employment opportunities,creating social wealth,promoting scientific and technological progress,and promoting economic and social development.However,there are such contradictions in real life.On the one hand,many large,high-quality private enterprises and state-owned enterprises can easily obtain commercial bank credit funds,and some can even obtain credit lines that exceed their normal needs.On the other hand,small and medium-sized enterprises,as the largest and most active market entities in China’s market economy,have faced the big problem of "financing is expensive and difficult" for many years.The reason is that,in addition to factors such as weak small and medium-sized enterprises poor management,lack of full guarantees and collaterals,and more importantly,China’s commercial bank currently lack a complete set of scientific,complete and reasonable credit risk assessment systems that can Objectively and fairly evaluate the credit risk of every enterprise.In view of this,the purpose and significance of this paper is to combine domestic and foreign research practices,explore the establishment of a scientific and reasonable credit risk evaluation system for small and medium-sized enterprises,break the predicament of information asymmetry between borrowers and lenders,and help small and medium-sized enterprises get better.In this paper,We selects the sample data of 120 small and medium-sized enterprises in Bank A,and divides it into a model sample group and an application sample group.First,use the data of the model sample group to construct a credit risk evaluation model for small and medium-sized enterprises,select six principal components through Principal component analysis,and substitute the selected indicators into the Logistic regression model to construct a credit risk evaluation model for small and medium-sized enterprises;secondly,Use the constructed model to predict the small and medium-sized enterprises in the application sample group and compare and analyze the actual business conditions of the enterprise.Finally,it is found that the prediction results of the model are scientific,accurate and effective,and can be used to initially judge the small and medium-sized enterprises the possibility of default;finally,combined with the prediction results of the model,a series of measures and methods for bank A’s credit risk control are proposed,including optimizing the credit risk management environment,establishing a complete credit risk assessment system,and improving the bank’s internal control,etc.