| Recently, there was a contradiction between the commercial banks and Medium-Sized Enterprises: One side, Medium-Sized Enterprises desired the fund from commercial banks to assure the health developments of themselves due to the limited financing methods and lacking in stable long-term fund resources at large; the other side, because it was unable to firmly measure the risk from providing the loads to Medium-Sized Enterprises, commercial banks missed a lot of Medium-Sized Enterprises which had a good credit condition, the high ratio of assert to yields, standard management and flexible mechanism. The main reason for this contradiction was that the commercial banks suspect the Medium-Sized Enterprises credit and then supplied capitals to Medium-Sized Enterprises cautiously. The key to deal with this problem was how to accurately measure the credit risk of providing load to Medium-Sized Enterprises.Aiming at constructing the Medium-Sized Enterprises credit risk measurement models which were suitable for our country's reality, this paper analyzed and compared the methods of existent credit risk measurement, pointed that Logistic Regression was the most suitable method of Medium-Sized Enterprises credit risk measurement in our country. Then Based on the Logistic Regression Model, this paper empirically analyzed 130 Medium-Sized Enterprises samples with their financial data and non-financial data in 2006 and 2007. The empirical analysis indicated that based on considering financial index and non-financial index, using Logistic Model to measure Medium-Sized Enterprises credit risk was practical and feasible. And the measuring outcome was quite satisfied. |
