Latest Research in Financial Distress and Bankruptcy Prediction

Top Research Topics in Financial Distress and Bankruptcy Prediction

• Financial Distress and Bankruptcy Prediction — 27 papers
• Machine Learning — 4 papers
• FinTech, Crowdfunding, Digital Finance — 3 papers
• Risk Management — 2 papers
• Methodology — 2 papers
• Blockchain Technology Applications and Security — 2 papers
• Explainable Artificial Intelligence (XAI) — 2 papers
• Financial Markets and Investment Strategies — 2 papers
• Computational Engineering, Finance, and Science — 1 papers
• Imbalanced Data Classification Techniques — 1 papers

Highest-Cited Papers

1. CreditR1: Calibration-Aware Reinforcement Learning for Interpretable Corporate Credit Risk Assessment with Large Language Models
2. A stochastic correlation extension of the Vasicek credit risk model
3. Explainable Deep Tabular Learning for Credit Risk Assessment: An Information-Theoretic Cross-Attentional Transformer Approach
4. Artificial intelligence and fuzzy algorithm-driven pension finance risk management
5. A scalable online machine learning approach for Stock Recommendation
6. Leveraging AI for Real-Time Compliance Monitoring in Brokerage and Asset Management Platforms
7. The Negative Binomial Chain-Ladder: A Full Likelihood Model for Claim Count Reserving
8. Advanced Machine Learning Techniques for Corporate Bankruptcy Prediction: A Gradient Boosting TreeNet Approach
9. Credit-Risk and Portfolio Analytics for Growth-Oriented Businesses: Integrating Three-Statement Models, Delinquency Metrics, Scenario Analysis, and Executive Dashboards
10. The C-index illusion: discrimination without calibration in published survival models
11. Secure and explainable fraud detection in healthcare claims using blockchain-based machine learning
12. Predicting financial distress in construction firms: a hybrid machine learning framework with semantic embedding enhancement
13. AR Fraud Isn't a Detection Problem. It's an Identity Problem.
14. AR Fraud Isn't a Detection Problem. It's an Identity Problem.
15. Research on credit portfolio optimization decisions under digital risk control: an integrated framework based on explainable AI and hybrid intelligence
16. Predictive Analytics for Credit Risk Assessment: A Data-Driven Approach to Improving Credit Decision-Making
17. Algorithmic fairness and bias mitigation in financial artificial intelligence: scoping review
18. Selective automation for responsible digital lending using a calibrated and explainable AI triage framework
19. A Corporate Financial Analysis Framework Based on RFECV-PRF Feature Selection and GA-LightGBM
20. Explainable boosting machine for predicting claim severity and frequency in car insurance