PBESProceedings of Business and Economic Studies2209-26412209-265XBio-Byword Scientific Publishing Pty. Ltd.10.26689/pbes.v6i3.5021ArticleConstruction and Optimization of a Financial Early Warning System Based on Big Data and Deep Learning Technologyhttps://artdesignp.com/journal/PBES/6/3/10.26689/pbes.v6i3.5021YangJing2023632023-06-20New technologies such as big data, artificial intelligence, mobile internet, cloud computing, Internet of Things, and blockchain have brought about significant changes and development in the financial industry. Predicting the financial situation of enterprises, reducing the probability of uncertainty risks, and reducing the likelihood of financial crises have become important issues in enterprise financial crisis warning. In view of the issues in enterprise financial early warning systems such as lag, low accuracy, and high warning costs in data analysis, a financial early warning system based on big data and deep learning technology has been established, taking into account the different situations of listed and non-listed companies. This carries significance in improving the accuracy of enterprise financial early warning and promoting timely and effective decision-making.

Wu S, Huang S, 1987, Analysis Indicators and Prediction Models for Enterprise Bankruptcy. China Economic Issues, 1987(6): 8–15.

Chen J, 1999, Empirical Analysis of Financial Deterioration Prediction for Listed Companies. Accounting Research, 4: 31–38.

Zhang L, 2000, Discriminative Model for Financial Crisis Early Warning Analysis. Research on Quantitative Economy and Technical Economy, 2000(03): 49–51.

Wu S, Lu X, 2001, Research on the Prediction Model of Financial Distress of Listed Companies in China. Economic Research, 2001(6): 46–55.

Fu R, Wu S, 2002, Analysis of the Risk of Business Failure of Listed Companies in China: BP Neural Network Model and Fisher Multiclass Linear Judgment Model. Southeast Academic Journal, 2002(2): 71–79.

Wang K, Ji M, 2006, Research on Financial Warning of Losing Companies Based on Financial and Non-Financial Indicators – Taking Company ST as an Example. Financial Research, 2006(7): 63–71.

Song B, Zhu J, Li X, 2015, Research on Enterprise Financial Warning Based on Big Data. Journal of Central University of Finance and Economics, 6: 55–64.

Liu Z, Liu J, 2019, Empirical Analysis of the Financial Crisis Warning Model for Technological Small and Medium Sized Enterprises under the Background of Big Data. Industry and Technology Forum, 3(18): 101–102.

Wang Y, 2020, Research on Enterprise Public Opinion Management and Financial Warning Based on Big Data Environment. Finance and Accounting Communication, 8: 130–135.