Experience in Yemen shows how credit guarantees can build lasting resilience, serving as a bridge between emergency response and sustainable development.

The report builds an understanding on sustainability-related risk and opportunity disclosure requirements in key standards and frameworks and how to implement them.

A stronger focus on risk management, improving profitability and capital buffers at the institution level are critical for MFIs to overcome medium to long-term challenges.

This paper argues, that in order to ensure sustainable growth, MFIs must strengthen risk assessment frameworks, improve borrower onboarding processes, and enhance staff training to mitigate these risks.

In the Solomon Islands,  the threats of rising sea levels, intensifying cyclones, and shifting weather patterns jeopardize the islands' infrastructure, economy, and way of life. Expanding access to parametric climate risk insurance is one solution that the Central Bank of Solomon Islands is exploring. 

This study analyzes the impact of financial inclusion on various bank risk dimensions, including systemic risk, which has been underexplored. 

The insurance industry and insurance regulators are increasingly recognising the importance of climate-related data in assessing and managing risks associated with climate change. In the landscape of risk management, the impact of climate change is becoming increasingly evident. The insurance industry and regulators alike are now turning their attention to a vital tool in navigating this reality—climate-related data.

 “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.

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