Credit risk prediction with corruption perception index: machine learning approaches

Credit risk prediction with corruption perception index: machine learning approaches

This study examines the impact of corruption on credit risk in Southeast Asian commercial banks by using machine learning models to predict non-performing loans (NPLs) based on the Corruption Perception Index (CPI). Analyzing data from 70 banks over a decade, it employs Decision Tree, Random Forest,...

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Bibliographic Details
Main Authors: Cuong Nguyen Thanh, Tam Phan Huy, Tuyet Pham Hong, An Bui Nguyen Quoc
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cogent Business & Management
Subjects:
Credit risk
corruption
machine learning
financial stability
Credit & Credit Institutions
Machine Learning
Online Access:https://www.tandfonline.com/doi/10.1080/23311975.2025.2461731
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https://www.tandfonline.com/doi/10.1080/23311975.2025.2461731

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