Research On The Credit Evaluation And Risk Control Of SMEs Based On Big Data

For any country,Small and Medium Enterprises(SMEs)are an indispensable part of economic development.A large number of SMEs play an important role in creating tax revenue,increasing employment and maintaining steady economic growth.However,SME financing difficulties have been constraining its development.From the analysis of financing channels,direct financing channels such as issuing stocks and bonds do not apply to a large number of start-up SMEs.Indirect financing such as bank loans is still the main source of funding for SMEs.Due to the serious information asymmetry between banks and SMEs,banks also pay more attention to the credit evaluation of the borrowing enterprises in order to recover the loans on schedule.In the past,commercial banks paid more attention to financial statements and collateral for reviewing and giving greater weight to credit evaluation of enterprises,resulting in a large number of small and SMEs being rejected because they failed to meet the requirements.With the development of Internet computer technology,commercial banks can introduce multi-dimensional information of Internet big data to analyze during credit evaluation.Based on the big data information processing method and the credit evaluation model of commercial banks,this paper takes 150 SMEs which listed in the platform of NATIONAL EQUITIES EXCHANGE AND QUOTATIONS as samples,and chooses the 17 financial indicators that reflect the operation ability,development ability,solvency and profitability,and chooses news media attention indicators and news text sentiment indicators,the use of factor analysis to reduce the financial indicators,and then use the Logistic regression model to get the credit value of SMEs to determine whether to grant loans,and compared with the actual situation to judge model accuracy.Finally,it analyzes how to optimize the credit from the perspective of SMEs,and analyzes how to control the credit risk from the perspective of commercial banks and gives corresponding suggestions,which will provide some reference to the credit evaluation and control process of commercial banks.