Research Article
Financial Risk Analysis of Enterprises Based on Random Forest Algorithm
@INPROCEEDINGS{10.4108/eai.9-12-2022.2327664, author={Yuan Yan and Zhe Yang and Shuai Zhang}, title={Financial Risk Analysis of Enterprises Based on Random Forest Algorithm}, proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2023}, month={3}, keywords={finance; random forest; risk}, doi={10.4108/eai.9-12-2022.2327664} }- Yuan Yan
Zhe Yang
Shuai Zhang
Year: 2023
Financial Risk Analysis of Enterprises Based on Random Forest Algorithm
MSIEID
EAI
DOI: 10.4108/eai.9-12-2022.2327664
Abstract
As an important part of China's beverage and food industry, the brewing industry plays a significant role in the national economy in terms of its socioeconomic benefits. This paper uses 36 listed enterprises in the brewing industry in 2020 as a research sample, classifies the financial quality of brewing enterprises by "financial leverage coefficient", selects three different combinations of financial indicators, and constructs a financial risk model using the random forest algorithm to determine the financial risk of brewing enterprises, and finds that the random forest model has a high prediction accuracy, and uses The model was found to have high prediction accuracy, and the model was used to analyze the influence of financial indicators related to profitability, solvency, and operating capacity on the financial risk of brewing enterprises.