IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting
standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of
models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods
like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and
low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is
accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners
in Credit Risk Management.