当下,科学防范和有效化解金融风险,严守发生系统性金融风险底线,持续推进金融稳健运行成为金融工作的根本性任务。随着大数据时代的到来,金融迎来与科技融合发展的新机遇,金融监管也将得到科技创新手段的补足。在此背景下,针对金融风险水平的测度与创新防控金融风险的方式成为新的研究命题。本文在梳理大量相关理论研究文献的基础上,以代表性理论为指引,通过构建大数据金融风险防控的理论模型与大数据金融风险防控指数,从宏观审慎监管与金融可持续发展的视角,试图探索我国区域金融风险及其防控机制。
<<At present,it has become a basic task to scientifically prevent and effectively dissolve financial risks,strictly guard the bottom line against systematic financial risks,and continuously maintain the steady operation of the financial sector. With the age of big data coming,new opportunities for finance emerge to have an integrated development with technology. Besides,financial regulation will also be supplemented by scientific and technological innovation. Against this background,it has become a new research proposition to measure financial risk level and prevent and control financial risks in an innovative manner. After analyzing a large number of research literature and guided by representative theories,the paper tries to explore our levels of regional financial risks and the mechanism of risk prevention and control from the perspective of macro-prudential regulation and sustainable financial development,by establishing the theoretical model and index for the big data-based financial risk prevention and control.
<<Keywords: | Financial RegulationRisk MeasurementBig Data TechnologyBig Data Index of Financial Risk Prevention and Control |