Application Of Comprehensive Credit Scoring Model

In today’s rapid economic development, but also the risk of a variety of species. This article will focus on credit risk and research, so that rules to prevent credit risks, rational to follow. In the bond market the country and have aggravated breach frequent backdrop, this paper mainly studies credit debt rating methodology.Factors herein by reference method for the selection of credit rating agencies, rating agencies rating the above composition herein will be screened and simplified, reasonably reliable premise, fast and intuitive to the project company or bond issuers subject to conduct a comprehensive credit scoring. First, the factors that will affect corporate credit ratings into financial factors and non-financial factors, and gives reasons for classification. Secondly,financial factors and non-financial factors specific analysis and divided into different influencing factors, given the impact factor of 16 frames. So far, the framework will also indicate the proposed model for readers’ convenience. Next, the main rating category,selected the most representative of the industry and five on the wind for different sectors of the industry financial data query, five sectors were real estate industry, petrochemical industry, construction industry, agriculture and retail. Then for the real estate industry to establish a specific model, the impact on the credit rating of 16 indicators, weighting and scoring the reasons given, and the 16 indicators of the data given in the reference value of real estate 96 listed companies, followed by the establishment of a real estate Two-factor model of credit scoring industry. Re-establishing the remaining four industry two-factor credit scoring model according to the method described above, and then given a rating model,the merger is a comprehensive two-factor rating credit scoring models. Finally, select the A broker a real estate project done backtesting model, A broker for the project scoring 72 points, while this model is given the project a final score of 75.46, according to the respective rating models derived rating of C. Model results are analyzed and summarized to give reason for the difference.At the end of this article, the author based on a result of the model and the model gives recommendations and suggestions for project credit scoring for bond credit assessment.Advantages and disadvantages and the model will be described, and pointed out theshortcomings of the present innovation models, this model gives a special method of treatment projects to increase trust and handlers and their causes.