A Hybrid Network Analysis and Machine Learning Model for Enhanced Financial Distress Prediction

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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Bibliographic Details
Main Authors: Saba Taheri Kadkhoda, Babak Amiri
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Financial distress prediction
financial analysis
network-based analysis
machine learning
classification
community detection
Online Access:https://ieeexplore.ieee.org/document/10496578/
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https://ieeexplore.ieee.org/document/10496578/

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