RF model and SNA analysis for optimization of regional financial supervision system
Tianlei Wei · 2025
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Description
Tianlei Wei builds a risk warning system for regional finance in this 2025 paper. Wei notes that local financial risks now twist together in complex ways, which strains old oversight tools. The method joins social network analysis with a random forest model. Network measures feed the model to sharpen risk spotting and early warning.
Data from one province from 2016 to 2022 formed a weighted network of linked actors. Over time, the network grew denser while central scores fell, a sign of more even risk spread. High-risk zones still showed strong nonlinear jumps. The joint model sorted six risk levels with high scores, beating two standard rivals. Network traits drove most of the predictive power. Wei proposes tiered oversight guided by those traits.
Catalog record
| CREATOR | Tianlei Wei |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 81 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |