Publications

Market-based insights into intangible asset value across ISEQ 20 companies

Our focus in this paper is to develop decision making models using a range of advanced machine learning techniques. We explore three different methodologies to measure the discriminatory power between good and bad borrowers using a credit card portfolio dataset. The main hypothesis is that advanced modelling techniques lead to more efficient estimates and higher discriminatory power.