Research Article
Towards Regional Financial Risk Predication Analysis over Financial Credit Big Data
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334387, author={Ruoxun Liu}, title={Towards Regional Financial Risk Predication Analysis over Financial Credit Big Data}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={financial risk prediction modelling big data}, doi={10.4108/eai.19-5-2023.2334387} }- Ruoxun Liu
Year: 2023
Towards Regional Financial Risk Predication Analysis over Financial Credit Big Data
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334387
Abstract
At present, under the economic stimulus policies of the post-epidemic era at home and abroad, various unstable and uncertain factors have risen significantly, financial risks are hidden in a wide range of points, and the pressure on regional financial risk prevention and control remains high. Therefore, it is particularly important to explore the establishment of a set of financial risk monitoring and early warning system in line with China's regional characteristics. Through case analysis, we apply central bank credit data and macro and local economic vane data to construct an analytical framework and model for regional financial risk monitoring and early warning, and predict the outbreak point of regional financial risks through empirical analysis, providing useful reference for future use of credit data for regional financial risk monitoring and early warning.
