DEVELOPING AN EARLY WARNING SYSTEM FOR LOAN CLASSIFICATION AND CREDIT RISK MANAGEMENT

ORIGINAL SOURCE
Originally published in INTERNATIONAL CONFERENCE ON ANALYSIS OF MATHEMATICS AND EXACT SCIENCES; Vol. 3 No. 3 (2026): INTERNATIONAL CONFERENCE ON ANALYSIS OF MATHEMATICS AND EXACT SCIENCES; 71-77.

Kinjayev, Kattakul (2026) DEVELOPING AN EARLY WARNING SYSTEM FOR LOAN CLASSIFICATION AND CREDIT RISK MANAGEMENT. INTERNATIONAL CONFERENCE ON ANALYSIS OF MATHEMATICS AND EXACT SCIENCES; Vol. 3 No. 3 (2026): INTERNATIONAL CONFERENCE ON ANALYSIS OF MATHEMATICS AND EXACT SCIENCES; 71-77.

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Abstract

This thesis examines the development of an early warning system (EWS) for  improving loan classification and credit risk management in commercial banks and  other lending institutions. The proposed framework integrates borrower-level  financial indicators, repayment behaviour, account activity, collateral quality,  sectoral conditions, and macroeconomic signals into a unified risk-monitoring  process. The study emphasizes the transition from periodic, backward-looking loan  review to continuous and forward-looking risk detection. 

Item Type: Article
Additional Information: Imported from ICAMES Conference
SWORD Depositor: Admin User
Depositing User: Admin User
Date Deposited: 06 Oct 2026 21:09
Last Modified: 06 Oct 2026 21:09
URI: https://universalpublishings.uz/id/eprint/20401

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