Financial Risk Control Based on optimized Z-Score Financial Warning Model
Mingwei Zhu
Journal of Information Security Research, Vol. 14, No. 4, 2023.
DOI: https://doi.org/10.6025/jisr/2023/14/4/101-110
Link: https://www.dline.info/jisr/fulltext/v14n4/jisrv14n4_3.pdf
Abstract:
Financial risk control is an important link in enterprise risk management. Traditional financial risk control methods often rely on experience and intuition, lacking scientific validity and accuracy. In recent years, with the improvement of financial data availability, more researchers have begun using data mining and machine learning technologies for financial risk control. This article studies how to control financial risks using an optimized Z-Score financial warning model. We have adopted data mining and machine learning methods to improve the traditional ZScore model and propose a new optimization model to predict financial risks more accurately and effectively control risks.