Early prediction of financial distress risk is important for providing timely warning signals to investors, creditors, and regulators. This study examines 91 Vietnamese listed industrial firms over the period 2015–2024 and compares a traditional Logistic Regression model with three machine learning algorithms: Random F...
Ha Thi Nguyen· Tạp chí Khoa học Đại học Côn...· 0 citations
The rapid development of Fintech and digital payments has increased the need for effective fraud detection and risk monitoring. This study evaluates fraud detection performance using imbalanced credit card transaction data. It compares Logistic Regression, Random Forest, and XGBoost, with XGBoost combined with SMOTE as...
Do Thi Thuy Nga, Ha Thi Nguyen, Hoa Thi Thanh Pham et al.· Tạp chí Khoa học Đại học Côn...· 0 citations
This paper investigates the determinants of bankruptcy risk among enterprises listed on the Vietnamese stock market, with particular attention to financial resilience and sustainability in the context of global economic transformation. Using data from twenty-eight publicly listed companies between 2010 and 2025, the st...
Ha Thi Nguyen, Thuy Thi Thu Pham, Anh Kieu Nguyen et al.· Tạp chí Khoa học Đại học Côn...· 0 citations
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