Dr. Joe Breeden, COO and Chief Scientist at Deep Future Analytics, has been the nation’s preeminent modeling practitioner for more than 20 years. He has created models through the 1995 Mexican Peso Crisis, the 1997 Asian Economic Crisis, the 2001 Global Recession, the 2003 Hong Kong SARS Recession, and the 2007-2009 US Mortgage Crisis and Global Financial Crisis.
These crises have provided Dr. Breeden with a rare perspective on crisis management and the analytics needs of executives for strategic decision-making. You have the opportunity to learn more about the unique insights offered through Age-Period-Cohort modeling, and many other modeling functions, with whitepapers, books, and videos from Deep Future Analytics.
As follow-up to his hugely popular article, Dr. Joseph Breeden will provide an accessible introduction to machine learning and separate value from hype.
We will start with a review of the economic possibilities from here, with scenarios from ScenarioAI, developed by the team at Prescient Models and Deep Future Analytics.
Walt will draw on his years of experience as a CU CEO to discuss the essential elements of strategic planning in the current environment.
Joe will talk about the kind of data available from our call report extracts, P&L stress testing, and peer comparison – and specifically how to use the data and reports to validate strategies and plan for realistic results.
Together they will discuss the possibilities and positioning for a member-centric recovery from the COVID-19 recession.
Forecasting models are currently predicting loan losses that are not happening because of the most aggressive government assistance and loan forbearance programs in recent history. ‘What comes after?’
We will review the economic drivers of high loss forecasts and other indicators of where government assistance is altering consumer cash flow and behavior. With these in hand, we develop some intuitive methods for computing overlays and arriving at post-assistance projections of future losses.
We will also open the session to in depth Q&A on any related topics as we all work through the pandemic impacts together.
◆ Insights From Modeling During Previous Pandemics ◆ Best Practices for Stress Testing During Pandemics ◆ How to make models that are robust to changing headlines ◆ What to watch for when the stress test becomes the baseline forecast
◆ Peer Group Comparisons of CECL Loss Reserves ◆ Comparisons of CECL to FAS5 Results ◆ Why and How to Adapt to these changes ◆ Differences in new allowance for Banks vs. Credit Unions