Financial risk early-warning model and application of automobile manufacturing industry: taking Great Wall Motor as an example

Guanglu Xue

doi:10.1117/12.2646358

23 August 2022 Financial risk early-warning model and application of automobile manufacturing industry: taking Great Wall Motor as an example

Guanglu Xue

Author Affiliations +

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 1233025 (2022) https://doi.org/10.1117/12.2646358
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

Great Wall Motor is selected as the research object, the entropy method is used to determine the weight of each financial indicator of the company, then the final financial indicators were screened by correlation analysis, and the indicator weights were determined again; the efficacy coefficient method was adopted to determine the standard values of each indicator, determine the efficacy coefficients of each indicator, and then calculate the scoring values of individual indicators, and finally, the comprehensive scores of the research object were summarized. Through calculation, the financial risk warning level of Great Wall Motors is a slight risk, indicating that financial risks may occur at present. Managers should pay attention to some abnormal financial indicators and take targeted measures for them to resolve financial risks in a timely manner.

Citation Download Citation

Guanglu Xue "Financial risk early-warning model and application of automobile manufacturing industry: taking Great Wall Motor as an example", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 1233025 (23 August 2022); https://doi.org/10.1117/12.2646358

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