Empirical Research On Credit Risk Evaluation For Merchants

The population of commercial tenants in our country has been continuously expanding in recent years, which plays an important role in the economic development, especially in promoting the development of service industry, and is of increasingly significance. But the commercial tenants are generally faced with some problems that hinder their development; one of the major problems is the difficulty of credit financing. On account of this need, it establishes a credit risk evaluation indicators system for personal consumption loan customers, and at the same time it provides each big Banks and other financial institutions with lending decisions.In this paper, a personal consumption loan credit evaluation indicators system is established under the analysis of the basic information and operation aspects of the merchants. With the entropy method to determine the weight of the index, a merchant credit rating model is established, with which1311commercial tenants credit scores are calculated. According to the commercial tenants’data of the credit scores, the outstanding principal and interest receivable, and the principal and interest, the1311merchants could be divided into nine credit ratings.This paper is a total of four parts. The first chapter is introduction, which mainly systemize and analyzes the existing credit evaluation index systems, the index screening methods, and credit evaluation models, etc. The second chapter is about the credit evaluation index systems and the constructing principle of the evaluation equation. The third chapter is empirical research, in which a business loan credit risk evaluation system is established. The fourth chapter is the conclusion and innovation points of this study.In this paper, the main work is as follows:(1) A merchant credit evaluation index system containing16indexes is established.Through the Kruskal-Wallis Test, it significantly screens indicators that can distinguish merchants default condition, and by using the correlation analysis it deletes indexes reflecting the information redundancy. Based on the105audition indexes, the merchants’credit evaluation index system with16evaluation index is constructed. Finally it reflects82%of the original information by using15%of the index.(2) The establishment of a business loan credit risk evaluation equation.An empowerment model with the method of Entropy is established, calculate the entropy of each index with the entropy method, and then determine the weight of the16indexes, the constructed merchant credit rating equation is used to calculate the credit scores of the1311merchants.(3) The credit rating of1311merchants.According to the pyramid standard of the higher credit rating, the lower the loss rate of default, it uses the business loan credit scoring, receivable outstanding principal and interest, principal and interest receivable data, by adjusting the number of different levels of loan commercial tenants to find the credit rating classification results satisfying the this pyramid standard of the higher the credit rating, the lower the default loss rate of default.