“Reject inference” techniques help financial institutions to increase their credit portfolio profitability by improving the accuracy of their approval mechanisms, with implications for offering credit to women who would otherwise be unable to access it. 

This paper describes the development of microfinance in Yemen and the role of Al-Amal Bank in the sector over the past 15 years, then introduces the concept of micro letters of guarantee, which Al-Amal Bank launched in 2020.

The information in this detailed analysis showcases the remarkable resilience of the microfinance sector across multiple regions.

This guide introduces a gender-lens analytical framework for lenders to determine whether lending decisions and outcomes in their portfolios differ by gender and, if so, how.

This case study examines the data and experience of two fintechs in India that use different sets of transactional data for credit scoring.

This publication shares key learnings from case studies from Guatemala and Bosnia and Herzegovina and illustrates their contribution to co-designing an impact monitoring system for Sweden’s guarantee instrument.

This study is part of a market monitoring exercise to understand the range of risks and how they are perceived by multiple stakeholders in the Indian fintech lending sector.

This Note describes some of the uses of artificial intelligence and machine learning by financial institutions; considers the supervisory responses to such uses; and highlights some ways in which supervisory authorities can themselves use AI and ML to improve the effectiveness and efficiency of supervision.

This special report elaborates on policy considerations for the implementation of a credit guarantee scheme that can be used to support green lending by financial institutions (such as commercial banks, credit cooperatives or microfinance institutions) to MSMEs.

This Technical Guide summarizes the lessons learned from engagements with 15 asset finance companies in Sub-Saharan Africa and Asia between 2018 and 2020 and offers suggestions on credit risk management.