Journal of Information Security Research

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Online ISSN: 0976-4151

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Journal of Information Security Research

Financial Risk Control Based on optimized Z-Score Financial Warning Model

Mingwei Zhu
Lingnan University, No. 8 Castle Peak Road Tuen Mun, New Territories, Hong Kong

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.

Keywords: Human Capital, Spatial Layout, Mathematical Model Financial Risk Control Based on optimized Z-Score Financial Warning Model

DOI:https://doi.org/10.6025/jisr/2023/14/4/101-110

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