Research On The Credit Risk Assessment Of College And University Students In The National Student Loan

In order to protect citizens'rights of higher education, ensure educational equity, increase the level of national education, improve the funding system of higher education, and promote sustainable development of higher education, central government proposed a policy named National Student Loan. It refers that a educational consumer loan for making up for missing of poor college students'study and living expenses, which has the policy and Commercial nature, is participated By the state, banks, schools and lenders. Implemented since 1999, it has been 10 years, there are 500 million poor students who has received National Student Loans. However, with the arrival of the repayment peak, Many lenders don't repay the loan on the appointed time, some colleges and universities default rate is up to 60%. High default rates forced banks to stop lending. Credit risk of National Student Loan has become the biggest obstacle to its successful implementation. In order to reduce the national student loan credit risk, the best way is to make strict credit evaluation of lenders before lending to them, controling the credit risk before ie Occurred. Therefore, this article will research systematically the national student loan credit risk assessment.In this paper, National Student Loan credit risk is as the backbone throughout the article, Contents includes the status of national student loan credit risk, the causes of default, credit risk assessment, credit risk control and other aspects. Specific contents are as follows:First of all, to know the overall status of the National Student Loan Credit Risk, macro-analysised the supply and demand conditions of National Student Loan, and the status of the credit risk. Secondly, identified the main risk factors to reveal the statistical contaction between the repayment status of students (compliance or breach of contract) and its impact variables by factor analysis, discriminant analysis, cluster analysis and Logistic analysis, inferenced the reasons of students default occurs (loss of credit) and the formation of risk, and Provided a theoretical basis for the subsequent credit risk evaluation index system.Thirdly, according to the actual situation of National Student Loan and the reasons of loan defaults which is studied in previous Chapter, fully considered all factors, build a credit risk evaluation index system, then,Combined genetic algorithm and BP neural network to establish a national student loan credit risk assessment model.This model is mainly used for avoiding credit risk before bank loans,which is practical by the empirical analysis. Finally, from the different points of view of the state, banks, schools and lenders, gave the corresponding countermeasures and suggestions.