This workshop will discuss the fundamentals across estimation, implementation, validation and stress testing of PD, LGD and EAD models. It will include both comprehensive overviews of state-of-art industry modeling methodologies, as well as practical insights into credit risk models currently being developed and/or used across the sector. Download the Credit Risk Modelling agenda now.
Attending this unque workshop will enable you to:
Explore practical methods for:
• Constructing Credit Risk Models for Basel II
• Monitoring and Backtesting credit risk models
• Stress Testing Models using Sensitivity and Scenario Analysis
Examine best practice in:
• Calibrating PD, LGD and EAD estimates
• Dealing with Low-Default Portfolios
• Quantitative and Qualitative Model Validation
Gain the skills to:
• Employ State of the Art Modeling Techniques
• Audit, Validate and Monitor PD, LGD and EAD models
• Gauge the Impact of Stress Scenarios on credit
The workshop will provide a sound mix of both theoretical and technical insights as well as practical implementation details, illustrated using several real-life cases. The focus will be on practical guidance and business applications. It will be highly interactive, allowing ample opportunity for delegates to benchmark experiences with industry peers and raise issues of most concern to their organisation, either confidentially or in open session.
Prof. Dr. Bart Baesens is an associate professor at K.U.Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on credit risk management, Basel II and predictive analytics.
He regularly tutors, advices and provides consulting support to international firms with respect to their credit risk management strategy. His findings have been published in key international journals (e.g. Management Science, Machine Learning, IEEE Transactions on Neural Networks and also Knowledge and Data Engineering) and presented at international top conferences.
"A must when you start modelling."