Research on the Construction of Risk Early Warning Mechanism in Enterprise Financial Management

[1] Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 12(2), 71–111. Beaver W. H. ( 1966 ). Financial ratios as predictors of failure . Journal of Accounting Research , 12 ( 2 ), 71 – 111 . Search in Google Scholar

[2] Altman, E. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance, 32(23), 589–610. Altman E. ( 1968 ). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy . Journal of Finance , 32 ( 23 ), 589 – 610 . Search in Google Scholar

[3] Blum, M. (1974). Failing company discriminate analysis. Journal of Accounting Research, 8(7), 12–25. Blum M. ( 1974 ). Failing company discriminate analysis . Journal of Accounting Research , 8 ( 7 ), 12 – 25 . Search in Google Scholar

[4] Foster, G. (1986). Financial statement analysis (2nd ed.). Pearson Education India, 23(12), 263–27. Foster G. ( 1986 ). Financial statement analysis ( 2nd ed .). Pearson Education India , 23 ( 12 ), 263 – 27 . Search in Google Scholar

[5] Ross, S. (1999). A company failed in financial distress. Corporate Finance, 22(17), 40–42. Ross S. ( 1999 ). A company failed in financial distress . Corporate Finance , 22 ( 17 ), 40 – 42 . Search in Google Scholar

[6] Wachowicz, J. M. (2014). Fundamentals of Financial Management. New York: Prentice Hall, 15(7), 334–335. Wachowicz J. M. ( 2014 ). Fundamentals of Financial Management . New York : Prentice Hall , 15 ( 7 ), 334 – 335 . Search in Google Scholar

[7] Qiao, Y., Jin, J., & Ni, F., et al. (2023). Application of machine learning in financial risk early warning and regional prevention and control: A systematic analysis based on SHAP. World Trends, Realities and Accompanying Problems of Development, 331. Qiao Y. Jin J. Ni F. ( 2023 ). Application of machine learning in financial risk early warning and regional prevention and control: A systematic analysis based on SHAP . World Trends, Realities and Accompanying Problems of Development , 331 . Search in Google Scholar

[8] Li, X., Wang, J., & Yang, C. (2023). Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy. Neural Computing and Applications, 35(3), 2045–2058. Li X. Wang J. Yang C. ( 2023 ). Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy . Neural Computing and Applications , 35 ( 3 ), 2045 – 2058 . Search in Google Scholar

[9] Tao, X., Wang, M., & Ji, Y. (2023). The application of graph-structured Cox model in financial risk early warning of companies. Sustainability, 15(14), 10802. Tao X. Wang M. Ji Y. ( 2023 ). The application of graph-structured Cox model in financial risk early warning of companies . Sustainability , 15 ( 14 ), 10802 . Search in Google Scholar

[10] Clintworth, M., Lyridis, D., & Boulougouris, E. (2023). Financial risk assessment in shipping: A holistic machine learning-based methodology. Maritime Economics & Logistics, 25(1), 90–121. Clintworth M. Lyridis D. Boulougouris E. ( 2023 ). Financial risk assessment in shipping: A holistic machine learning-based methodology . Maritime Economics & Logistics , 25 ( 1 ), 90 – 121 . Search in Google Scholar

[11] Marinakos, G., Daskalaki, S., & Ntrinias, T. (2014). Defensive financial decisions support for retailers in the Greek pharmaceutical industry. Central European Journal of Operations Research, 22, 525–551. Marinakos G. Daskalaki S. Ntrinias T. ( 2014 ). Defensive financial decisions support for retailers in the Greek pharmaceutical industry . Central European Journal of Operations Research , 22 , 525 – 551 . Search in Google Scholar

[12] Paule-Vianez, J., Gutierrez-Fernandez, M., & Coca-Erez, J. L. (2019). Prediction of financial distress in the Spanish banking system: An application using artificial neural networks. Applied Economic Analysis, 28(82), 69–87. Paule-Vianez J. Gutierrez-Fernandez M. Coca-Erez J. L. ( 2019 ). Prediction of financial distress in the Spanish banking system: An application using artificial neural networks . Applied Economic Analysis , 28 ( 82 ), 69 – 87 . Search in Google Scholar