Credit Risk Evaluation For Technology-Based SMEs And Application

As the important force of modern economy system, technology-based SMEs have unique innovative ability and high-growth potential. They are the most active and prospective small and medium-sized enterprises in market economy. However, capital problems counteract the development of technology-based SMEs and the indirect financing from the bank is the most direct and effective ways to solve the capital problems. As information dissymmetry, banks always carry out the credit squeeze policy to technology-based SMEs. According to the foreign experience, and the best way to solve is the credit risk evaluation, it is particularly important to evaluate the credit risk for the both sides of the financing.At the present, the credit risk evaluation systems for technology-based SMEs are imperfect in our country and the fuzzy in the credit risk evaluation process is often neglected. The thesis takes the technology-based SMEs as the study object, discusses its characteristics and establishes a credit risk evaluation system. The evaluation system has three tier evaluation indexes based on the former study. The index weight is identified by the entropy value technique and the AHP through the correlation analysis and the differentiation analysis to the simplification of primary election indexes volume. The thesis chooses the fuzzy evaluation methods and gray evaluation methods to evaluate the credit risk of the technology-based SMEs based on the credit evaluation models in existence and the technology-based SMEs in practice. The method can be used in the dynamic credit risk track of several enterprises for several years. Therefore it will carry out references to the enterprises credit risk management.