Capacity-Constrained Credit Monitoring: Explainable and Drift-Adaptive Prediction of MSME Repayment Stress

Authors

  • D Ajay Kumar Author

DOI:

https://doi.org/10.48047/awgry540

Keywords:

Credit risk, explainable machine learning, concept drift, early warning, MSME lending, capacity-constrained ranking, probability calibration.

Abstract

Small and medium enterprises (MSMEs) often exhibit volatile cash flows, sparse formal records, and repayment signals  that change with seasonality and macroeconomic conditions. Credit monitoring teams

Downloads

Download data is not yet available.

Downloads

Published

20.02.2025

How to Cite

Capacity-Constrained Credit Monitoring: Explainable and Drift-Adaptive Prediction of MSME Repayment Stress. (2025). International Journal of Information and Electronics Engineering, 15(2), 11-16. https://doi.org/10.48047/awgry540