Credit risk assessment model of small and medium-sized enterprise based on logistic regression

Small and medium-sized enterprises play a very important role in China´s economic and social development. Their development is inseparable from the financial support, and the development of credit business is also an important aspect of bank´s operation. At the time of solving the problem of financing difficulties of small and medium-sized enterprises, how to manage credit risk will become an important subject to study. In this paper, we choose 50 money-borrowing enterprises´ financial data in a commercial bank as samples to construct logistic risk assessment model. We make regression analysis, Hosmer-Lemeshow test and Hosmer-Lemeshow randomness test. The empirical results show that the logistic risk assessment model has good fitness of the data.