Research and Big Data Analysis on the Risk Factors of Banks Based on the AHP-EWM Model

At present, the risk status of Chinese commercial banks is still a hot spot of social concern, and the problem of analyzing risk factors of Chinese commercial banks during the new economic normal needs to be solved urgently. This article, represented by the Industrial and Commercial Bank of China, collected relevant data on risk early warning indicators from 2006 to 2019 and used the Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) to calculate the weight of each risk indicator and the risk situation in each year. Quantify and establish an AHP-EWM model. Finally, the evaluation model is revised based on the AHP-EWM model. This model quantifies the risk of Chinese commercial banks and is of great significance to improving the early warning system of Chinese commercial banks.