We discuss how to build ETF risk models. Our approach anchors on i) first building a multilevel (non-)binary classification/taxonomy for ETFs, which is utilized in order to define the risk factors, and ii) then building the risk models based on these risk factors by utilizing the heterotic risk...

This paper investigates the impact of stress testing results on bank's equity and CDS performance using a large sample of twelve tests from the US CCAR and the European EBA regimes in the time period from 2010 to 2018. We find that passing banks experience positive abnormal equity returns and...

This paper investigates the impact of stress testing results on bank's equity and CDS performance using a large sample of twelve tests from the US CCAR and the European EBA regimes in the time period from 2010 to 2018. We find that passing banks experience positive abnormal equity returns and...

Credit risk is important in developing the performance of a microfinance institution. The aim of this research was to analyze credit risk through a harmonious cultural approach to improve financial performance. Qualitative approach was used to explore the practice of harmonious culture in...

The landscape of financial credit risk models is changing rapidly. This study takes a brief look into the future of predictive modelling by considering some factors that influence financial credit risk modelling. The first factor is machine learning. As machine learning expands, it becomes...