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Research On Credit Evaluation Model Of Loan Insurance Customers Based On Data Mining

Posted on:2019-06-08Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y QinFull Text:PDF
GTID:2439330572466369Subject:Business Administration
Abstract/Summary:PDF Full Text Request
With the progress of science and technology and the increase of competition in the insurance market,some drawbacks of the management system of insurance companies in China have become increasingly prominent in the process of development.The product-oriented customer management system has long been unable to meet the needs of the market.Credit risk of insurance business is widespread.Taking the loan insurance business as an example,there are a lot of problems in the industry,such as customer failure to perform on time and high compensation rate,which not only hinders the healthy development of the insurance industry,but also affects the whole insurance market.The fundamental reason for normal order lies in the information asymmetry between insurance companies and insurance customers,which leads to adverse selection and moral hazard.Therefore,in order to enhance the competitiveness of the insurance market and reduce risks,it is necessary to adopt a scientific customer credit evaluation system and establish a sound customer-centered management system.Firstly,some concepts about the risk theory of insurance business are introduced in this paper.According to the origin and characteristics of credit risk pairs in the insurance market of our country and the current situation of credit evaluation of customers in the loan insurance business,the concrete problems in the development of the loan insurance business are revealed.Secondly,based on the specific situation of the credit system construction in the financial industry,the basic principles and business characteristics of the system construction,improve the customer credit evaluation index system,and analyze the various factors involved in the system.Thirdly,taking X insurance company's loan insurance business data and customer data as the main research object in this paper,establishing a customer credit evaluation system model of loan insurance business based on BP neural network.Through empirical analysis,it draws a conclusion that the mapping relationship between index system and risk coefficient has achieved the expected design purpose.Finally,according to the current situation of credit evaluation of loan insurance customers,management suggestions and corresponding development measures are put forward.
Keywords/Search Tags:Customer credit evaluation model, data mining, artificial neural network
PDF Full Text Request
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