A Hybrid Network Analysis and Machine Learning Model for Enhanced Financial Distress Prediction
Financial distress prediction is crucial to financial planning, particularly amid emerging uncertainties. This study introduces a novel methodology for predicting financial distress by amalgamating network analysis and machine learning techniques. The approach involves establishing two company netwo...
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| Main Authors: | Saba Taheri Kadkhoda, Babak Amiri |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10496578/ |
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