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Creating effective revenue forecast models for CCAR using machine intelligence
Sponsored webinar: Ayasdi
THE PANEL
- Michael Woods, principal data scientist for financial services, Ayasdi
- Lourenco Miranda, managing director, operations risk quantification, capital and CCAR, AIG
- Kenneth Swenson, senior vice-president and manager of operational risk modelling
The Federal Reserve-mandated Comprehensive Capital Analysis and Review (CCAR) and stress tests put tremendous pressure on banks to have accurate models in place that can demonstrate capital adequacy under stressed economic and financial conditions.
How do you ensure that you have accurate and defensible revenue forecast models that will stand up to the Federal Reserve’s scrutiny?
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Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net