Following the founding and operation of a corporation, the biggest challenge it faces is the risk of bankruptcy, so how to prevent, controlling, and analyze the causes of bankruptcy is one of the most critical tasks for every company. As we all know, many factors affect corporate bankruptcy, and most studies are based on a unilateral or small range of factors set to study its impact on bankruptcy. Based on the data provided by Taiwan Economic Journal from 1999 to 2009, this paper adopts univariate and multivariate analysis models to analyze the data. A 3Comparative analysis, Normality test, T-test, non-parametric test, ANOVA test, Factor analysis and logistics were carried out using SPSS auxiliary tools Regression (Regression) controls relatively comprehensive factors that affect a company's bankruptcy from an overall perspective. It aims to demonstrate the selection of bankruptcy factors and analysis ideas. After analysis, we conclude that through the research and analysis, we have a new understanding of the causes of corporate bankruptcy. We find the four most important factors affecting corporate bankruptcy. Namely, ROAC before interest and depreciation before interest, Liability to Equity, Total assets to GNP price, and No credit interval, In addition, many single factors may have no impact on a company's bankruptcy. However, when they coexist with other factors, they will have a chain effect, resulting in even multiple amplification of the risk of bankruptcy. Therefore, different from the specific analysis of the impact of single factors on the bankruptcy of a company, this paper extracts the primary factors and takes the analysis of the relationship between individual factors as a specific example by showing the research perspective of innovation to propose the actual operation of a company from the macro and micro aspects, that is, to clarify which departments and decisions to pay special attention to in daily operation.
CITATION STYLE
Chi, K. (2023). Company Bankruptcy Prediction. Advances in Economics, Management and Political Sciences, 22(1), 18–29. https://doi.org/10.54254/2754-1169/22/20230282
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