“State of the Art in Credit Risk Modeling” with Bart Baesens

Credit risk modeling is undoubtedly one of the most crucial issues in the field of financial risk management.  With the recent financial turmoil and regulatory changes introduced by the Basel accords, credit risk analytics has been receiving even greater attention by the financial and banking industry.  In this web series, Bart Baesens will decompose credit risk into its three components: PD (probability of default), LGD (loss given default) and EAD (exposure at default).  We will then introduce a multi-level architecture to model the three components and illustrate how this can also be used for back-testing, benchmarking, and stress testing.  Throughout the discussion, we will highlight our research, industry experience, and recommendations on the current environment and challenges mentioned.  The webinar concludes with an overview and complimentary invitation to our new Self-Paced E-learning course on Credit Risk Modeling led by Bart Baesens.

$9.95 for 30 day pass

About Bart Baesens

Bart Baesens is a professor at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom).  He has done extensive research on credit risk modeling, big data & analytics, and fraud analytics.  His findings have been published in well-known international journals (e.g. Machine Learning, Management Science, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research, …) and presented at international top conferences.  He is author of the books Credit Risk Management: Basic Concepts, Analytics in a Big Data World  and Fraud Analytics using Descriptive, Predictive and Social Network Techniques and teaches E-learning courses on  Credit Risk Modeling and  Advanced Analytics in a Big Data World.  His research is summarized at www.dataminingapps.com.  He also regularly tutors, advises and provides consulting support to international firms with respect to their  big data, analytics and credit risk management strategy.

About IM2 Consulting

IM2 is a transformation strategy and implementation advisory firm providing advisory services to clients in the United States, Europe, and Canada. We specialize in business, back office, technology, and risk programs.  For CCAR programs, IM2 provides program management, business, data, modeling, technology, subject matter, and implementation expertise, as well as strategic resourcing to facilitate client programs.

Top 4 CCAR Priorities for 2016/17

• The CCAR Improvement Continuum – The Federal Reserve will keep up its diligence for 2016/2017 for firms to continually improve the capital planning process, particularly with the largest institutions.

• Data Integrity – For the next CCAR cycle, the Fed has emphasized the need for accuracy and completeness of financial institutions’ data, the adequacy and integrity of reconciliation processes, and controls across the range of reports supplied to the Fed.  A great deal of manual processes and deferred maintenance on controls and IT architecture need to be addressed by the next CCAR cycle or there is a risk that this emphasis may balloon to a critical qualitative factor for some institutions in 2016/17.

• On Time Delivery of CCAR Plans – To address outstanding weaknesses identified by the Fed, many firms are being asked to enhance current processes and develop remediation plans, inclusive of accountable parties, activities and milestones to be completed prior to the next CCAR cycle.  Delivering key remediation on items is an essential part of the expectations set by the Fed.

• Flexibility in your CCAR Program – Developing a successful CCAR program that incorporates flexibility and that can respond to a wide range of macro and idiosyncratic scenarios appears to be a key variable for effectively navigating the next CCAR Cycle.