We document that European banks charge higher interest rates on loans granted to small and medium-sized firms located in areas at high risk of flooding. At 6 basis points, the average risk premium does not adequately reflect the deterioration of loan performance in the aftermath of flood...

Background: Agribusiness loans advanced by Agricultural Finance Corporation (AFC) in Mount Kenya Region have high default rate of 20.33% which compares unfavourably with 10% benchmark for all types of loans in Kenya. This is a challenge, given the strategic importance of agribusiness credit in...

This study explores whether financial literacy can enhance the ability to predict credit default by farmers using machine-learning models. It introduces a hybrid model combining k-means clustering and Adaboost to predict loan default using data on 10,396 farmers who obtained credit from Chinese...

In order to stress test loan portfolios for the impacts of climate change, historical events need to be analyzed to create templates to stress test for future events. Using the 2012 Midwestern US drought as an example, this work creates a stress-testing template for future droughts. The analysis...