Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China

Research Article

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

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  • @INPROCEEDINGS{10.4108/eai.12-1-2024.2347230,
        author={Sheng  Wang},
        title={Predictive Virtual Reality System for Corporate Financial Risk Based on the Metaverse},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12--14, 2024, Ningbo, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2024},
        month={6},
        keywords={metaverse hybrid reality financial risk forecasting},
        doi={10.4108/eai.12-1-2024.2347230}
    }
    
  • Sheng Wang
    Year: 2024
    Predictive Virtual Reality System for Corporate Financial Risk Based on the Metaverse
    BDEDM
    EAI
    DOI: 10.4108/eai.12-1-2024.2347230
Sheng Wang1,*
  • 1: Guangxi Vocational Normal College (College of Accounting and Audit)
*Contact email: kingcathy@163.com

Abstract

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.