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A Hybrid Network Analysis and Machine Learning Model For Enhanced Financial Distress Prediction by ananya.pramod424 is a document available to read on EtoBox.
This study presents a hybrid methodology combining network analysis and machine learning to enhance financial distress prediction. By establishing company networks based on financial indicators and integrating network-centric features, the model improves predictive accuracy significantly. The findings highlight the effectiveness of network-based strategies in refining financial distress prediction models, offering valuable insights for decision-makers in the financial sector.
- Author
- ananya.pramod424
- Language
- EN