Enterprise Financial Risk Early Warning System Based on Structural Equation Model
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15. Juli 2022
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Online veröffentlicht: 15. Juli 2022
Seitenbereich: 671 - 680
Eingereicht: 11. Feb. 2022
Akzeptiert: 13. Apr. 2022
DOI: https://doi.org/10.2478/amns.2022.2.0053
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© 2023 Fei Che et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
This article uses structural equation modeling (SEM) to analyze and study the factors affecting corporate financial risks. At the same time, the regression analysis model is used for risk warning. The empirical test effectively proves that the formation of corporate financial risk is closely related to the industry environment in which it is located. After estimating the model’s parameters, it is found that monetary policy, enterprise-scale, market supply and marketing, and macroeconomic factors are the main factors that affect the financial risks of enterprises.