Predictive Virtual Reality System for Corporate Financial Risk Based on the Metaverse

The current study addresses the issues in corporate financial risk prediction, such as the narrow analytical perspective on influencing factors, lack of complex network and global view analysis, delayed predictive feedback, and low efficiency. By employing Metaverse technologies, the approach integrates a dynamic data repository, financial risk predictive virtual space, risk prediction model virtual simulation experiments, and an intelligent early-warning decision system.This methodology offers a holistic view and complex network analysis, combined with multi-level and multi-angle influence factors for financial risk forecasting. Comparative tests of data processing capabilities between traditional risk prediction systems and the proposed system revealed that, under identical data volumes, traditional systems only analyzed partial modules with significantly lower data throughput compared to our system.