The epidemic of COVID-19 broke out, domestic economy suffered a heavy setback, the Central Bank of China launched a series of policies against this backdrop, aiming to stimulate the economy. However, some investors speculate from the loose loans in real estate, which makes the funds policy originally used for stimulating the real economy to be artificially drained into the real estate market, further resulting in the imbalance of social supply. To solve this problem, from the perspective of the central bank and with the use of literature research and other methods, this paper makes research on analyzes the central bank’s credit supervision on commercial banks. Study shows that information collection and monetary policy are the problems with central bank. Through big data technology and monetary policy into the new reference index two angles to try to solve the problem. It aims to effectively strengthen the efficiency and level of central bank’s supervision. Meanwhile it can provide corresponding theories and references for subsequent research. The limitation of this study is that there is no specific application supporting the analysis. Otherwise the paper would be more applicable in practice. Therefore, this problem needs to be further studied and solved.
The Research of the Real Estate Credit Risk in Commercial Banks of China