Paper
19 December 2021 Dynamic analysis of the prediction of financial difficulties in enterprise financial management
Yuanyuan Azhou
Author Affiliations +
Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 1212815 (2021) https://doi.org/10.1117/12.2625006
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China
Abstract
Financial distress theory, as the main research field of enterprise financial management, is an important branch of modern capital structure theory. In the current increasingly competitive living environment, the phenomenon of financial difficulties of enterprises is more and more frequent. Market participants begin to make in-depth research on the prediction of the difficulties of enterprises while paying attention to the financial situation of enterprises. Therefore, on the basis of understanding the current research and application of financial distress theory, I built the corresponding prediction model based on Kalman filter, and made an empirical analysis of the application effect of the model.
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Yuanyuan Azhou "Dynamic analysis of the prediction of financial difficulties in enterprise financial management", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 1212815 (19 December 2021); https://doi.org/10.1117/12.2625006
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KEYWORDS
Filtering (signal processing)

Data modeling

Analytical research

Process modeling

Error analysis

Signal processing

Statistical analysis

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