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Credit Risk Assessment Of P2P Personal Loans Based On Multi-Source Information Fusion

Posted on:2018-08-10Degree:MasterType:Thesis
Country:ChinaCandidate:F WangFull Text:PDF
GTID:2359330542480315Subject:Financial
Abstract/Summary:PDF Full Text Request
P2P network loan on the one hand means that the technical innovation,on the other hand is the concept of borrowing and innovation.P2P network loan mainly has two attributes,the first is the financial off the media attributes,the specific performance of the platform without a pool of funds,only as an intermediary to borrow information both sides.The second is the attributes of inclusive finance,the platform is committed to serving small and medium enterprises and personal consumer credit for the banking business customers can not cover the financing channels to reduce the financing costs,to achieve the financial needs of all sectors to provide appropriate,Effective financial services.However,due to extensive sources of network borrowers,lack of information disclosure,lenders can not like the traditional way of borrowing borrowers to conduct a full background checks,it is difficult to verify the accuracy of the information provided by the borrower,there is information asymmetry.At present,China's P2P network loan system is based on the borrower to upload information,the information obtained by the borrower's credit score,and then mapped to the corresponding credit rating,and then determine the borrower's interest rate.The lower the credit rating of individual loan products,the higher the loan interest rate;on the contrary,the higher the level of the lower interest rates of loan products.But only through the information borrowers to carry out credit evaluation,it is difficult to identify whether the information provided is true,there is the possibility of cheating,and thus can not guarantee that personal credit products are reasonably priced.In the era of large data,the method of multi-source information fusion is applied to P2P personal credit evaluation,which will bring innovative value and significance to the original method.Through multi-source information fusion,it is helpful to further explore the value of data,enhance the role of information analysis,get more accurate,complete and reliable information or inference about borrower.By crossing multi-source information,it can reduce information errors and omissions decision making mistakes.In this paper,the background and significance of the research are expounded,and the research of predecessors is reviewed.Then,the concept of P2P,the current situation of P2P network loan and the current situation of personal credit risk assessment of P2P loan are expounded and analyzed.After a clear understanding of the concept and characteristics of P2P personal loans,this paper establishes a personal credit evaluation model based on analytic hierarchy process,credit credit rating based on the personal information submitted by the lender,and finally assess the credit rating of the borrower.After the use of multi-source information fusion ideas,the introduction of third-party information and customer information to integrate the original.The operation of multi-source fusion is carried out.First,the third-party information is aggregated by the method of granular calculation,and the third party information particles are added to the original credit evaluation model.Finally,this paper obtains the method of multi-source information fusion through empirical method to prove,test and optimize the conclusion of the personal loan credit evaluation model based on analytic hierarchy process.
Keywords/Search Tags:P2P, Particle computing, Information fusion, Risk assessment
PDF Full Text Request
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