http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
IFRS 9 and CECL credit risk modelling and validation
a practical guide with examples worked in R and SAS
1 online resource (xvii, 298 pages) : illustrations
"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."--Publisher's description
Introduction to expected credit loss modelling and validation -- One-year PD -- Lifetime PD -- LGD modelling -- Prepayments, competing risks and EAD modelling -- Scenario analysis and expected credit losses.
Includes bibliographical references and index.