Research On The Success Of P2P Network Loan In China

In recent years,with the continuous development of China's Internet,Internet finance and e-commerce have also been unprecedentedly developed,and Internet finance has been paid more and more attention.P2P network loans are the main mode of Internet finance now.As a third-party intermediary,it does not provide funds and loans.It only provides a platform and reviews the identity and credit status of participants,and promotes the borrowing and lending parties to complete transactions on the platform.P2P online lending provides the possibility of microfinance for small and micro enterprises and individuals.It not only makes full use of the idle funds in the society,but also brings convenience to those who have financial needs.In 2007,China's first P2P online lending platfonn was established.Since then,China's traditional financial model has changed.In the following years,there were a large number of P2P online lending platforms in China,and the number of platforms increased.However,there were also a lot of problems,such as platform risk prediction and imperfect control system,low borrowing rate and the proportion of users who borrowed successfully.Inferior,the online lending platform that this article focuses on is everyone's loan,and the data is from the scattered data published by Renren.This paper studies the success of the loan on the online loan platform.The failure of the P2P online loan platf-orm means that after the borrower has applied for the loan on the platform,there are not enough lenders who are willing to bid and cannot raise the full amount within the prescribed time.Funds.Whether or not the flow label will not only affect whether the borrower can raise the funds it needs,whether the lender can lend its own idle funds and obtain benefits from it,but also the operation and income of the platform.In economic activities,the parties involved in the transaction are different in the channels and quality of information.The key information in the transaction process is of-ten in the hands of the borrower,that is,the information is asymmetric,so this paper studies the borrower's information and borrowing.The relationship between success.By reviewing and analyzing relevant data and references at home and abroad,we try to explore the process of borrowing the borrower's success on the platform from the personal information submitted by the borrower.At the same time,this is also the process of investors screening the borrower.Forecast whether the flow label is used,and help the borrower to improve the success rate of borrowing on the platform through the research results,help investors identify the risky borrowers,and reduce the risk of investors.First select the appropriate features and summarize the features into 4 categories.Secondly,the missing values and outliers in the data are deleted,and the data is transformed to fit the input requirements of the model.Then descriptive statistics on the data to explore the impact of each feature on the ultimate success of the loan,and explore the reasons.Then 2/3 of the data is taken as the training set,and the remaining data is used as the test set.The data is trained and predicted by means of logistic regression,support vector machine and artificial neural network.For the classification effect of the model,the accuracy,recall rate,ROC curve and AUC value are used for evaluation.The result is that the logistic regression not only has a good fitting effect on the training set,but also the prediction effect is very satisfactory,indicating that the selected results are selected.Features and models can well predict the success of borrowing on P2P online lending platforms.At the same time,the factors affecting the success of the loan are discussed.The borrowing amount,the borrowing rate,the borrowing period,whether there is a mortgage,and whether the identity is authenticated are all significant factors.In view of this,the borrower can reduce the possibility of borrowing failure and successfully raise funds.Funding,while for investors,can help him make investment decisions.