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Working PaperWorking Paper 2026-01 · September 2026Working Draft

Early-Warning Indicators for Loan Portfolios in Small Financial Systems

Algocence Research Desk · Decision Science

Abstract

Lenders in small financial systems often see credit deterioration only when loans are already in arrears. This paper sets out a framework for combining loan-level repayment behaviour with sector and macroeconomic signals into a small set of early-warning indicators, and describes how those indicators can be calibrated when portfolio histories are short.

Key points

  • Proposes a three-layer indicator structure: borrower behaviour, portfolio composition and macro conditions.
  • Sets out a calibration approach for institutions with limited loan-level history.
  • Describes how indicators feed the Delinquency Transition Model (ALG-CREDIT-001).

Cite this working paper

Algocence Research Desk (2026). Early-Warning Indicators for Loan Portfolios in Small Financial Systems. Algocence Working Paper 2026-01. Ocho Rios, Jamaica: Algocence.

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