Key Takeaway The immediate recognition of the potential credit losses from COVID by the largest banks are a good illustration of how CECL should work. Wilary Winn offers CECL estimates…
Key Takeaway This white paper demonstrates how we prospectively worked to incorporate major macroeconomic events into our clients’ ALM and credit risk analyses. How Can We Help You? Released May…
Key Takeaway This white paper demonstrates how we prospectively worked to incorporate major macroeconomic events into our clients’ ALM and credit risk analyses. How Can We Help You? Released April…
Key Takeaway We provide ALM and CECL solutions that help our clients measure, monitor, and mitigate balance sheet risk on an integrated basis. We consider credit, interest rate, and liquidity…
Key Takeaway Wilary Winn offers comprehensive CECL calculations as well as capital stress testing, concentration risk analyses, and estimates of real return. How Can We Help You? Released June 2019…
Key Takeaway Our CECL Resource Center includes information on implementing the new standard, including the advantages and disadvantages of the modeling techniques that can be used and the data you…
Released June, 2017, this white paper is the third in a three-part series that presents the business benefits resulting from incorporating lifetime credit losses required under the CECL accounting standard into analyses designed to optimize the risk/return tradeoffs for a financial institution.
This May 2017 presentation provides practical ways to estimate credit losses in full accordance with the CECL standard and touches on the advantages and disadvantages of the various models that can be utilized and reasons why we utilize discounted cash flow models.
Summary The Credit Union National Association (CUNA) interviewed Douglas Winn for the May 2017 issue of the Credit Union Magazine, highlighting the Current Expected Credit Loss (CECL) model. The focus…
Released January 2017, this white paper is a part of Wilary Winn’s series of white papers regarding the Current Expected Credit Loss (CECL) Model and highlights best practices in collecting data for CECL.