Credit Scorecard’s Application In Loan Of Small And Micro E-Commerce Businesses

With the flourishing development of China’s ecommerce market, network credit and loan has gradually become a new financing channel for small and micro businesses. A profound analysis and mining on the value of network data has become an important method to effectively alleviate the difficulties of financing and risk control for small and micro enterprises, which has far-reaching social and practical significance.An effective solution has been explored in this thesis focusing on credit risk model development for small and micro enterprises by internet platform, making innovations over credit appraisal system construction, variable transformation method and feature selection. Firstly, optimization method has been introduced into variable grouping and predictive capability of single variable has been advanced to the largest extent while the rationality of data result been guaranteed. Secondly, the effects and efficiency of the model have been promoted simultaneously on the basis of combining optimization variable grouping with Lasso-Logistic and effectively solving the feature selection problem of high dimensional data on internet. Finally, empirical comparative analysis was carried out based on the real credit data on internet, which further proves the validity and reliability of this research.