CCAR is the defining regulation in financial services today. It puts tremendous pressure on banks to have accurate models that can demonstrate capital adequacy under stressed conditions. In the process those models must distill extraordinary financial complexity.
Managing that complexity doesn’t just help with CCAR but can also generate a deeper understanding of the bank’s overall operations.
To this end, Risk Magazine is bringing together Ayasdi's Principal Data Scientist for Financial Services, Michael Woods, Kenneth Swenson, Senior Vice President and Manager of Operational Risk Modeling, Regions Bank and Lourenco Miranda, Managing Director, Operational Risk Quantification, Capital and CCAR, AIG to discuss how banks can ensure that they have accurate and defensible revenue forecast models that will stand up to the Federal Reserve’s scrutiny and enhance the overall revenue visibility for the bank’s leadership.
Highlights of the discussion include: