Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

671-680


DOI

Article

Enterprise Financial Risk Early Warning System Based on Structural Equation Model

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Authors

Fei Che Affiliation:
School of Business, Nanjing Xiao Zhuang College, Nanjing, Jiangsu, 211171, China
, Yan Jiang Affiliation:
School of Business, Xiangtan University, Xiangtan, Hunan, 411005, China
, Khairi Omar Affiliation:
College of Administrative Sciences, Applied Science University, Bahrain
and Nasser El-Kanj Affiliation:
College of Business Administration, American University of the Middle East, Egaila, Al Ahmadi, Kuwait


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

Published by: Engineering Journals

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