A Current Expected Credit Loss (CECL) Data and Validation Report is
accessible on the CECL Summary page for months with a
Status of Complete or
Passed.
Select the Download link in the Report column for a specific month on the CECL
Summary page to download the report.
The report provides a summary of the quality and completeness of the data files transmitted
to Deep Future Analytics (DFA).
Each active loan product is broken out and scored based on three data-quality components. The
score for each component ranges from zero to five with five being the best score.
The data-quality components are:
- Length
- This score refers to the amount of historical data that is
transmitted to DFA for the CECL calculation. The score considers the number of
months of imported data that includes a loan pay-off and/or charge-off for each
loan category. This rating builds up over time and requires at least 60 months
of accumulated Passed data uploads to get a rating of
five. A proportional rating is applied to any amount below 60.
- Volume
- This score is based on the average number of charge-offs per month
imported into the model from the historical data files. The minimum number of
charge-offs necessary to get a five-point rating for
Volume is 10 per month. If the average number of
charge-offs is below 10, then a proportional rating is applied.
- Completeness
- This score refers to a missing number of optional data fields
within the files. The higher the score, the less data that is missing from the
files.
- Composite Score
- This score is calculated from the individual component scores and is
visually represented with a star rating. The Length and Volume components
are weighted heavier than the Completeness
component when determining the overall Composite
Score.
The rest of the CECL Data and Validation Report provides recommendations on how
to improve the quality ratings for the uploaded data along with a collection of tables and
graphs summarizing the data that is provided for analysis.