BART BAESENS is a professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom).
DANIEL RÖSCH is a professor in business and management and chair in statistics and risk management at the University of Regensburg (Germany).
HARALD SCHEULE is an associate professor of finance at the University of Technology Sydney (Australia) and a regional director of the Global Association of Risk Professionals.
About the Authors xiii
Chapter 1 Introduction to Credit Risk Analytics 1
Chapter 2 Introduction to SAS Software 17
Chapter 3 Exploratory Data Analysis 33
Chapter 4 Data Preprocessing for Credit Risk Modeling 57
Chapter 5 Credit Scoring 93
Chapter 6 Probabilities of Default (PD): Discrete-Time Hazard Models 137
Chapter 7 Probabilities of Default: Continuous-Time Hazard Models 179
Chapter 8 Low Default Portfolios 213
Chapter 9 Default Correlations and Credit Portfolio Risk 237
Chapter 10 Loss Given Default (LGD) and Recovery Rates 271
Chapter 11 Exposure at Default (EAD) and Adverse Selection 315
Chapter 12 Bayesian Methods for Credit Risk Modeling 351
Chapter 13 Model Validation 385
Chapter 14 Stress Testing 445
Chapter 15 Concluding Remarks 475