An Analysis On The Consumption Credit Risk Factors Based On Big Data

Compared to traditional credit card business,consumption credit has many advantages,such as small amount,less time to get approved,no need for mortgage or pledge and short loan term and so on.Because of its flexibility,consumption credit has become more and more popular among many enterprises,especially the ecommerce platform and consumers.In this article,we introduces the background of consumption credit and the great contribution it has made to the development of our economy.Then by summarizing and analyzing the research by the former scholars,we sort out the direction of the future consumption credit business.By reading relative articles,we know that,on the whole,there are three credit patterns abroad,namely industry credit,public credit and market-oriented credit.And using big data to analyze the credit risk is mainly based on the market-oriented credit.In our country,the companies who use the big data to analyze credit risks are Baidu,Ali,and Tecent(BAT),of which Ali is the most typical and it has made great performance.For the consuming credit company without too much data accumulation,they can collect data from many ways.Using two kinds of personal credit scoring model-statistics model and non-statistics model,they can study the consumers' behavior and this provides the basis for risk control.We introduce how to tell a “bad” client from a “good” one using the big data method using the data from the online platforms,which include Yiqihao,365 yidai and Yironghengxin.First,we analyze the factors that affect the scoring of the appliers.Then we use the neural network to classify all the clients into good ones and bad ones and by doing so we testify the feasibility to use the big data from open source internet and it has been approved that the accurate rate can reach more than 80%.At the same time,we get the importance of each factors in the analysis.On the whole,what are innovative in this article are as follows: we get data from open source internet,use the big data method and describe the behaviors of the consumers from more dimensions and try to discover the characteristics of the consumption credit and provide a new perspective to control relative business and is applicable in the foreseeable future.