credit scoring, digital footprint, big data, credit risk
Abstract
In the modern economic model, credit scores are an indispensable part of the credit system, which can predict whether people can get loans and how much loans they can get. This paper will define digital footprint and credit score, disband and analyze the specific process of credit scoring based on digital footprint, and discuss the similarities and differences and advantages of emerging digital footprint credit scoring methods compared with traditional digital scoring methods. In addition, the credit analysis is carried out based on the loan data of the states in the United States in 2015 obtained from lending club, and on this basis, the empirical research on the credit score of the states is further divided according to the red and blue continents.
