Article
Enterprise Financial Risk Early Warning System Based on Structural Equation Model
Authors
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Abstract
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.
Keywords
Enterprise Financial, Risk Early Warning System, Structural Equation Model, Mathematical model, 90C06
Citation
Che, F., Jiang, Y., Omar, K., & El-Kanj, N. (2022). Enterprise financial risk early warning system based on structural equation model. Applied Mathematics and Nonlinear Sciences, 7(2), 671–680. https://doi.org/10.2478/amns.2022.2.0053
F. Che, Y. Jiang, K. Omar and N. El-Kanj, “Enterprise financial risk early warning system based on structural equation model,” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, pp. 671–680, 2022, doi: 10.2478/amns.2022.2.0053.
Che F, Jiang Y, Omar K, El-Kanj N. Enterprise financial risk early warning system based on structural equation model. Applied Mathematics and Nonlinear Sciences. 2022;7(2):671–680. doi:10.2478/amns.2022.2.0053.
Che, F., Jiang, Y., Omar, K. and El-Kanj, N. (2022), ‘Enterprise financial risk early warning system based on structural equation model’, Applied Mathematics and Nonlinear Sciences, 7(2), pp. 671–680. Available at: https://doi.org/10.2478/amns.2022.2.0053.
Che, Fei, et al. “Enterprise Financial Risk Early Warning System Based on Structural Equation Model.” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, 2022, pp. 671–680. https://doi.org/10.2478/amns.2022.2.0053.
Che, Fei, Yan Jiang, Khairi Omar, and Nasser El-Kanj. “Enterprise Financial Risk Early Warning System Based on Structural Equation Model.” Applied Mathematics and Nonlinear Sciences 7, no. 2 (2022): 671–680. https://doi.org/10.2478/amns.2022.2.0053.
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Published by: Engineering Journals


