It is generally argued that Islamic banks are safer than conventional banks. The prime reason is that their product structure is essentially asset-backed financing, while conventional banks rely heavily on leveraging, which was considered one of the main causes of the 2008 global financial...

This paper assesses several early warning (EWS) models of financial crises to propose a model that can predict the incidence of a currency crisis in developing countries. For this purpose, we employ the equal weighting (EW) and dynamic model averaging (DMA) approaches to combine forecast from...

This paper builds predictive models for the incidences of neonatal and infant mortality using multiple parametric and non-parametric Machine Learning (ML) techniques. The consensus of the top predictors from the interpret-able ML algorithms (that we use) serve as leading indicators of neonatal...

This paper develops a means of visualising the vulnerability of complex systems of financial interactions resulting from the changing risk tolerance of investors. The investors' risk behavior contributes to the buildup of vulnerability in crisis and in calm periods. We show how both time-varying...