Enterprise Financial Risk Early Warning System Based on Structural Equation Model

Autor: Che Fei, Jiang Yan, Omar Khairi, El-Kanj Nasser
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 671-680 (2023)
Druh dokumentu: article
ISSN: 2444-8656
DOI: 10.2478/amns.2022.2.0053
Popis: 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.
Databáze: Directory of Open Access Journals