The main purpose of this essay lies in evaluating the credit risk of transportationinfrastructure financing lease from the lessor’s point of view. It provides the scientificdecision-making basis to selecting the lessee,designing the financial leasing scheme andcontrolling risk measures for lessor,at the same time, In view of the lessee’s credit risk,thispaper puts some forward corresponding preventive measures. Researching methodsincluding literature retrieval,comparative analysis and grey cluster relation analysis wereadopted by the author considering the characteristics of this project.At the very beginning, it introduced the theories of financial lessing, the credit risk offinancial leasing, as well as the evaluation method,analyzed both the present situation ofChina’s transportation infrastructure financing lease and comprived the evaluationmethods of credit risk adopted in this essay, laying a solid theoretical foundation for thefollowing research.In the next place, the essay established the evaluation index systems and model aboutthe credit risk of transportation infrastructure financing lease.It randomly sclected sixclssses of traffic infrsastrucure lessee from a finance leasing company approval centerwhere the author work practice,a total of eighteen,as research sample.Selecting financialand nonfinancial aspects established the index system about six comprehensive indexs,using the method of combining Gram-Schmidt orthogonalization and Delphimethod.Moreover,it established the gray cluster relational analysis evaluation model abouttransportation infrastructure financing lease credit risk based on analyzing the previousevaluation method.Then, the essay adopted three kinds of credit risk evaluation methods about thetraffic infrastructure credit risk empirical,including grey relational analysis method,grey clustering evaluation method and grey clusterrelation analysis method which isdeveloping from the first two.In the final part, comparativing the empirical results of the three kinds of evaluationmethods based on the above the empirical analysis,it highlighted the objectivity and effectiveness of the grey cluster relation model in the credit risk evaluationbased on transportation infrastructure financing lease. |