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- W3204959377 abstract "An accurate enterprise financial risk early warning model plays an important role in the management of the enterprise and the judgment of its financial status. Based on previous experience, this paper selects 14 secondary financial indicators of 6 financial crisis manufacturing enterprises and 6 non-financial crisis manufacturing enterprises in China from 2016 to 2019 as research samples. With the help of SPSS software and statistical methods, the principal component analysis of the research samples is used to calculate the degree of determination of the 14 indicators for the model, and the enterprise financial risk early warning model is constructed. After the model is built, 2 companies in financial crisis and 2 companies in non-financial crisis are randomly selected from the listed companies in China to predict. If the final calculation result is less than 0, it can be determined as a financial crisis company, and if the detection result is greater than 0, it can be determined that it is a non-financial crisis enterprise. The test results show that the model constructed in this paper has a high accuracy rate and can accurately predict the financial status of the enterprise. Through this model, companies can clearly know their own operational and management deficiencies, so that companies can have the opportunity to make rectifications in advance, provide a reliable basis for the development of the company, and it is worthy of being promoted and applied by Chinese manufacturing enterprises." @default.
- W3204959377 created "2021-10-11" @default.
- W3204959377 creator A5046187229 @default.
- W3204959377 date "2021-06-09" @default.
- W3204959377 modified "2023-09-23" @default.
- W3204959377 title "Application of Financial Risk Early Warning Model of Manufacturing Enterprises Based on Principal Component Analysis" @default.
- W3204959377 cites W2160172778 @default.
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- W3204959377 doi "https://doi.org/10.1145/3471988.3472007" @default.
- W3204959377 hasPublicationYear "2021" @default.
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