| With the rapid development of the Internet and the deepening of the financial industry,Internet finance came into being,and gradually derived a new model-P2P(Peer-to-Peer Network Lending).This new lending model has been popular in Occident since 2005.The typical platforms are Kiva,Zopa and Lending Club.The Establishment of PPDAI in 2007 announced the formal entry of P2P online loan into China.After decades of development,by the end of February 2019,the normal operation of domestic P2P lending platform has more than 1000.The rapid development of P2P lending is mainly because it not only retains the logic of traditional private lending,but also makes great innovations in information matching and transaction process by using Internet technology,which largely meets the needs of individuals and small and micro enterprises for funds,and at the same time complements and improves the banking system.However,in 2018,a large thunderstorm occurred in the P2P industry,causing a large number of investors to suffer huge losses,and the industry's prosperity suddenly fell to a freezing point.The reason is that besides legal loopholes and platform self-management problems,the situation of platform bankruptcy caused by borrower default is ubiquitous,which fully highlights the importance of credit risk identification and control of P2P online lending.Based on information asymmetry theory and comprehensive risk management theory,this paper firstly analyses the risk identification and evaluation of borrowers'basic information,credit characteristics and loan information when making investment judgment,and draws four inferences.Then,the crawler program is used to capture the transaction records of"take out loans" from January to June 2017,and the binary logistic regression model is used to regression the samples,to study which factors of the borrower will affect the investor's judgment and to verify the inferences.Finally,relevant suggestions are given according to the conclusions. |
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