Common weak spots in institutional data quality ahead of CECL
10 Ways to get ready for CECL, as described by regulators
Data for CECL: What will you need?
The community bank’s business case for enterprise risk management
CECL Data: Mind the gaps and start today
Webinar: Data Quality Considerations for CECL Measurement
Vintage analysis and data collection
Vintage analysis is a method of evaluating the credit quality of a loan portfolio by analyzing net charge-offs in a given loan pool where the loans share the same origination period. It allows the financial institution to calculate the cumulative loss rates of a specific loan pool, thereby determining the loan pool’s lifetime expected loss... Read more »
CECL Data Prep Guide
Prepare for CECL: Advice for smaller financial institutions
Begin preparing now for CECL, says Federal Reserve
FASB to outline CECL effective dates
Using credit union peer data to improve the ALLL
4 Reasons your financial institution’s data may be inadequate for CECL
Q Factors: Data, Drivers & Documentation
CECL Model Prep Kit
How to Justify a Change in Your ALLL
How much should you segment your ASC 450-20 (FAS 5) pools?
Preparing for upcoming regulatory changes in the ALLL
IASB delivers expected credit loss model
Justifying your ALLL in a period of low historical losses
Examiner Concerns with Spreadsheets
Migration Analysis: The Way Forward for an Effective ALLL
How to Support a Change in Your ALLL Reserve
Your ALLL: 3 Ways to Prepare for Year-End
Building a Better ALLL: What You Need in Your Strategic Plan
FASB’s CECL Model: How to Prepare Now
How Much Should You Segment Your ASC 450-20 (FAS 5) Pools?
When Should You Use Peer Data in the ALLL Calculation?
3 Key Attributes to Look for When Evaluating Reserve Calculations