This study evaluates four machine learning (ML) techniques (Decision Trees (DT), Random Forests (RF), Neural Networks (NN) and Probabilistic Neural Networks (PNN)) on their ability to accurately predict export credit insurance claims. Additionally, we compare the performance of the ML techniques...

Trade finance has received special attention during the financial crisis as one of the potential culprits for the great trade collapse. Several researchers have used micro level data to establish the link between trade finance and trade, especially so during the financial crisis, and have found...

Using panel data regressions, this paper analyzes the effect of imperfections in the formal export credit and insurance market on trade growth in the regions of Africa and Asia. An exclusive comparison of trade performance of the two regions with respect to export credit and insurance is novel...

This paper endeavours to find out how far public and private export credit insurance schemes available in UK to foster international trade, and specially the impact of export credit insurance to UK's SME's. How Export Credit Insurance create and add value to profitable growth of companies in...