Research on Financial Risk Monitoring and Early Warning in China Based on Big Data Analysis

Abstract

With the continuous development of China's economy, the financial industry plays a more and more important role in the national economy. At the same time, the financial risk(FR) are increasing and becoming increasingly complex. While sharing the huge benefits brought by financial globalization and financial deepening, China is also faced with greater FR from home and abroad, which greatly increase the possibility of financial crisis in China. In order to enhance the initiative of risk management and ensure the smooth operation of asset quality, we must rely on a powerful system tool, make use of the international advanced risk early warning management concept, and use Internet thinking and data mining technology to dig deep into hidden risk factors, discover hidden risks in advance and deal with them in time, so as to ensure the automatic monitoring ability of credit business. Based on the theoretical research on the generation, accumulation and diffusion of systematic FR, this paper explores the introduction of big data methods into the research on systematic FR in China, comprehensively uses traditional and emerging indicators and models in big data network analysis methods, analyzes the contagion effects of regional systematic FR from multiple perspectives and levels, improves research methods, and enriches research perspectives. The introduction of SIRS model on scale-free network provides a new powerful tool for the study of regional systemic FR.