Research on the Collection of Microcosmic Warning Indicators of Systematic Financial Risk Based on Big Data

In the process of acquiring relevant early-warning index data, the collection efficiency of microcosmic early-warning index of financial risk is low due to the slow speed of data processing. To this end, a method of collecting microcosmic early warning index of systemic financial risk based on big data is proposed. Determine the principle of early warning of systemic financial risk, use big data technology to obtain systematic financial risk data, and establish the corresponding hierarchical structure. For each indicator of different hierarchical structure, membership degree is calculated, and the weight of warning indicator is finally determined, so as to complete the design of collecting method of micro warning indicator of systemic financial risk based on big data. Through comparative experiments, the proposed method has faster data processing speed and can improve the efficiency of collecting micro-warning indicators of systemic financial risks.