Research On Risk Disposal And Standardized Development Of Agriculture-related P2P Lending Institutions

In recent years,with the rapid development of the online loan industry,industry chaos has frequently occurred and risk accumulation outbreak.Government started risk rectification in online loan industry in 2016 to protect the rights and interests of online loan participants and prevent and control financial risks in the mutual gold industry.Industry status quo for online loan agencies,the government clarified the principle of classified disposal of institutions with different operating states at the end of 2018,however,in the actual disposal process,platform classification disposal based on risk analysis was ignored.Many domestic and foreign studies on the risk of online lending have shown that machine learning algorithms can be used to perform risk early warning for different types of platforms based on risk analysis,but there is a lack of research on risk disposal paths for different types of platforms based on the results of risk early warning.Therefore,based on the classification of agricultural online loan institutions,analyze the risk disposal path of different types of agricultural online loan institutions and the problems during the disposal period,provide a basis for the government to carry out process supervision,provide a reference for exit paths for agricultural online loan institutions and other business types of institutions,not only is it conducive to promoting the risk management of the industry and preventing the transmission of risks,it is also conducive to the continuous play of the important role of benign agricultural online loan institutions in serving the agriculture,rural areas and farmers and developing inclusive finance.Based on the theory of financial risk management and the basis of risk identification,this paper constructs a risk analysis index system that incorporates rural business characteristics and risk disposal supervision requirements.The K-Means clustering algorithm and the decision tree CART algorithm in machine learning are used for classification processing and classification rule extraction.Subsequently,based on the classification results,the online loan business disposal paths for different types of platforms are proposed,and the problems faced in the disposal process under different paths are analyzed.Finally,put forward suggestions to promote the risk management and standardized development of agricultural-related lending institutions.The main conclusions of this article are as follows: First,the K-means clustering is used to classify the agricultural online loan institutions into four categories.The results of the decision tree show that loan balances,investment diversities,types of agricultural-related businesses,credit points,and methods of increasing credit for agricultural-related businesses play a major role in class classification.Second,based on the classification results,propose exit paths for business transformation and liquidation cancellation for four types of platforms:The first type of platform can be transformed into consumer finance companies,online small loan companies and fin-tech companies;The second type of platform and the third type of platform with customer resource advantages can be transformed into regional small loan and loan assistance institutions;The third type of agricultural online loan institution with a background of shareholders in the rural supply chain can be transformed into a comprehensive rural service institution;and the fourth type of platform with lack of comprehensive strength and compliance recommends liquidation and cancellation after the stock business is resolved.Third,during the processing of the existing business,under different paths,there are problems of disguising funds in disguised forms,incomplete external supporting facilities,difficulty in collection,and lack of disposal of programmatic documents;Facing the threshold of transformation,there are common problems such as financial pressure and weak external supporting environmental support;During the development phase of the transformation business,each transformation platform has different degrees of new risks in terms of operational risk,credit risk,liquidity risk,operational risk,and reputation risk.Finally,in response to the above issues,this article proposes the following regulatory recommendations: promote the construction of risk disposal supervision mechanisms and systems,improve the external supporting environment for risk disposal,strengthen the supervision of the risk disposal process of agricultural online loan institutions,strengthen the information disclosure of online loan institutions during risk disposal,and strengthen the guidance and education of agricultural online loan participants.