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基于机器学习和时间序列预测的企业风险分析

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中小微企业是经济发展的重要推动力之一,建立一套合理有效的信贷策略,从而解决中小微企业的融资问题.基于此,通过TOPSIS法建立中小微企业的信贷风险模型,使用时间序列模型预测企业未来发展实力,进而对企业的信贷风险做出了合理的预测,考虑突发因素(如新冠疫情)对企业经济发展的影响,为银行制定了放贷策略.
Research on Enterprise Risk Analysis Based on Machine Learning and Time Series Prediction
Small and medium-sized enterprises are one of the important driving forces for economic develop-ment.A reasonable and effective credit strategy has been established to solve the financing problems of small and medium-sized enterprises.This paper establishes a credit risk model for small and medium-sized micro enterprises by TOPSIS method;uses the time series model to predict the future development strength of enterprises;and then makes a reasonable prediction of the credit risk of enterprises.Considering the impact of unexpected factors(such as the new coronavirus epidemic)on the economic development of enterprises,it formulates lending strategies for banks.

TOPSIScredit risk assessmenttime series prediction

雷宇霞

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山西省信息产业技术研究院有限公司,山西 太原 030012

TOPSIS法 信贷风险评估 时间序列预测

2024

山西电子技术
山西省电子工业科学研究院 山西省电子学会

山西电子技术

影响因子:0.197
ISSN:1674-4578
年,卷(期):2024.(4)