Early Warning Model for Dynamic Risk Management of Agricultural P2P Network Loan Platform and Its Application

  • Huan Liu

Abstract

Aiming at the risk management problems of agricultural P2P network lending platform, an extension early warning model for dynamic risk management of agricultural P2P network lending platform is constructed. According to matter element analysis theory in extenics, establish the matter-element grade model, and construct the dynamic risk management early warning grade evaluation method of agricultural P2P network lending platform. At the same time, the early warning index system of platform dynamic risk management is established. The weight coefficients of early warning indicators are obtained by questionnaire survey and AHP calculation method, and the weight coefficients of early warning indicators are obtained by questionnaire survey and AHP calculation method. Finally, the early warning model is applied to enterprise M of agricultural P2P online lending platform. The correlation degree is calculated by using the programming language of MATLAB, and the results are analyzed. The results show that the model has strong practicability. The establishment of early warning model for dynamic risk management of agricultural P2P network lending platform can enable the platform to take appropriate strategies to effectively prevent risks, and has a certain reference value for agricultural enterprises to enrich capital investment channels.

Published
2019-08-25