A Comprehensive Multi-Dimensional Risk Monitoring Model for Illegal Financial Activities

The rapid expansion of internet finance and fintech has introduced increasingly sophisticated illegal financial activities that challenge traditional regulatory frameworks. Existing regulatory approaches often lack the depth and adaptability to effectively identify and manage these evolving risks. This study proposes a comprehensive, multi-dimensional risk monitoring model tailored to detect illegal financial activities, based on four core dimensions: investor behavior, intermediary platforms, investment products, and regional factors. The model integrates six primary and 26 secondary indicators, enabling quantitative assessment of risk levels and early warning detection. By applying this model to empirical data, our findings highlight specific risk drivers and propose policy recommendations aimed at strengthening regulatory measures. This framework provides regulatory bodies with a practical tool for timely intervention, thereby enhancing financial stability and protecting investor interests.

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Publication Details

Journal
Journal of risk analysis and crisis response
Published
2024-12-31
DOI
https://doi.org/10.54560/jracr.v14i4.558
Citations
1
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
1.13
Controls
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article

A Comprehensive Multi-Dimensional Risk Monitoring Model for Illegal Financial Activities

Zhongqiang Zhou, Ling Li, Ping Huang
1 citations
Journal of risk analysis and crisis response
Insurance and Financial Risk Management
1.13
article

A Comprehensive Multi-Dimensional Risk Monitoring Model for Illegal Financial Activities

Zhongqiang Zhou, Ling Li, Ping Huang
article en
1 citations

Abstract

The rapid expansion of internet finance and fintech has introduced increasingly sophisticated illegal financial activities that challenge traditional regulatory frameworks. Existing regulatory approaches often lack the depth and adaptability to effectively identify and manage these evolving risks. This study proposes a comprehensive, multi-dimensional risk monitoring model tailored to detect illegal financial activities, based on four core dimensions: investor behavior, intermediary platforms, investment products, and regional factors. The model integrates six primary and 26 secondary indicators, enabling quantitative assessment of risk levels and early warning detection. By applying this model to empirical data, our findings highlight specific risk drivers and propose policy recommendations aimed at strengthening regulatory measures. This framework provides regulatory bodies with a practical tool for timely intervention, thereby enhancing financial stability and protecting investor interests.

Journal of risk analysis and crisis responseVol. 14(4)
Guizhou University of Finance and Economics (CN), Guizhou University (CN)
Openalex Percentile: Top 10%
Insurance and Financial Risk Management
1.13
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