Credit Risk Measurement And Control Model Of Small And Micro Enterprises Under The Network Financing Mode

Small and micro enterprises are an important foundation for national economic and social development,and an important channel for starting a business and enriching the people,they play an important role in expanding employment,increasing income and promoting stability.However,there are many factors restricting the development of small and micro enterprises,among which the financing difficulties are the most critical factor.However,with the continuous development of Internet technology,network financing mode appears,compared with the traditional financing mode,the network financing mode has the advantages of low cost,short processing cycle,etc.,which can effectively alleviate the financing difficulties of small and micro enterprises.Internet technology is a double-edged sword,the development of network financing mode has broken through the time and space constraints of the traditional market,the development situation is good,but the current development is not mature enough.Network loan platform,online banks and other network platforms are not perfect,financial institutions risk control management and integrity system is not perfect,so there is a certain credit risk.Under the network financing mode,credit risk management is faced with the challenges of the complexity of credit risk factors and the difficulty of quantification.At present,the mainstream credit risk measurement methods include KMV model,CreditMetrics model,etc.These models are mainly used to estimate the default probability of enterprises.In the uncertain environment,it is difficult to effectively identify the key factors and their weights that affect the credit risk of enterprises.Therefore,it is particularly necessary to find effective credit risk measurement methods and control means.The thesis divides the network financing mode of small and micro enterprises into bank intervention and non-bank intervention.Under the network financing mode of bank intervention and non bank intervention,the characteristics,complexity,difficulty of identification and measurement of credit risk indicators are different,which leads to the difference of credit risk measurement methods.The network financing modes of bank intervention includes:bank online lending,e-commerce network financing,etc.;The network financing modes of non-bank intervention includes:P2P network lending,network crowdfunding,etc.In order to solve the problem that the evaluation of the relationship among credit risk factors of small and micro enterprises under the network financing mode of bank intervention is limited to the real number field,it is difficult to objectively reflect the subjective will of the evaluators,and it is difficult to objectively obtain the direct correlation matrix of credit risk,the thesis constructs a credit risk measurement model suitable for bank intervention.①In order to measure the credit risk of small and micro enterprises under the bank online lending mode,an improved AHP-interval number DEMATEL method is proposed;②The ANN method is used to measure the weight of each index of credit risk under the network credit financing mode,and GRA is used to determine the direct correlation matrix among credit risk factors;③ The thesis studies the measurement of credit risk under the e-commerce supply chain financial model,puts forward the Borda order value,norm grey correlation degree and RS,and constructs the credit risk measurement model combined with ITFN-DEMATEL method.In order to solve the non-stationary and non-linear credit risk indicators under the new network financing mode of non-bank intervention,and it is difficult to describe the expert judgment process vividly,the thesis constructs the credit risk measurement model under the non-bank intervention.① As for the credit risk measurement of small and micro enterprises under P2P network financing mode,firstly,the principal component analysis method is used to screen the indicators,and the combination of F-AHP method and CRITIC method is used to weigh the indicators,and then the soft set method is used to verify the credit risk measurement results;② As for the credit risk measurement of small and micro enterprises under network crowdfunding mode,rough method is applied to attribute reduction of credit risk indicators,and irrelevant and redundant credit risk indicators are deleted.Empirical mode decomposition method,improved intuitionistic fuzzy method and other combination weighting methods are used to get the credit risk weight;③Through the example analysis of the credit risk measurement model under the network financing mode,it not only makes a quantitative evaluation of the credit risk of small and micro enterprises,It also provides a credit strategy for lenders.Based on the results of the credit risk measurement model,a credit risk management and control model suitable for small and micro enterprises under the network financing mode is constructed.① The thesis proposes a credit risk management and control model for small and micro enterprises based on bank online lending mode,improves the credit risk evaluation system,optimizes the credit risk evaluation model,and increases the "credit time axis";②The thesis designs the immunity enhancement model of small and micro enterprises under the e-commerce network financing mode based on credit risk management,which improves the network financing ability of small and micro enterprises and reduce their credit risk;③ The thesis constructs the credit risk management and control model of small and micro enterprises under the P2P network lending mode,guides more network financial resources to support the rapid development of small and micro enterprises,improves the risk management and control ability of small and micro enterprises,and enhances the immunity level of credit risk prevention and control;④Aiming at the credit risk of network crowdfunding,the thesis constructs a credit risk management and control model based on incentive mechanism,supervision,innovation and cooperation,and puts forward a path to enhance the immunity of small and micro enterprises based on credit risk management and control under the thinking of blockchain.The main innovations of the thesis are as follows:① The credit risk measurement model of small and micro enterprises based on GRA-DEMATEL and ITFN-DEMATEL is established under the network financing mode suitable for bank intervention,which objectively describes the comprehensive importance of each credit risk factor;②The thesis constructs a credit risk measurement model based on subjective and objective weighting under the new network financing mode suitable for non-bank intervention,which effectively alleviates the problems of traditional credit risk measurement model,such as the complex relationship among credit risk indicators,such as correlation and influence,and the measurement is not objective enough;③Using blockchain thinking,we have improved the immunity level of small and micro enterprises from specific immunity and non-specific immunity,established feasible rules and systems,and developed new financial formats;④The thesis systematically constructs the credit risk management and control model of small and micro enterprises under the network financing mode,puts forward feasible credit risk management and control strategies,and realizes the effective prevention and control of credit risk of small and micro enterprises under the network financing mode.