Sequence-Aware Behavioral Credit Engine (SABRE): Deep Learning for Continuous Affordability and Early Distress Detection in Digital Lending
Abstract
Traditional credit risk assessment methodologies suffer from temporal limitations that prevent effectivedetection of emerging financial stress and behavioral changes in borrowers. The Sequence-AwareBehavioral Credit Engine (SABRE) framework addresses these constraints through deep learning sequence models that process time-ordered financial event streams to generate continuous
Fields of Study & Subjects
Financial Distress and Bankruptcy Prediction
Credit Risk and Financial Regulations
Imbalanced Data Classification Techniques
Publication details
- Journal / source
- Journal of Computational Analysis and Applications
- Publication date
- 8 January 2026