RiskExec has recently been updated to include the following enhancements:

2023 FFIEC Census Flat File Update

An updated 2023 Census Flat File has been released by the FFIEC and RiskExec's census data has been updated to include the Island Areas: American Samoa, Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands. This is potentially the last update for the 2023 file.

HMDA, CRA, and 1071 SBL Modules

Field-Level Edit Checks Link to the Corresponding Field

Field-level edit checks listed in the Edit Check Summary report will now link directly to the field triggering the edit check. RiskExec will take you to the Application Detail tab that the field is on by scrolling to the field and highlighting the field with a border outline.

Manage Institution

UDF Default Value

Users can now set a default value for Datetime, Integer, and Numeric User-Defined Fields.

If a field is blank in a source data file upon import, and a Default Value is set for that field in Manage Institution, that field will be populated with the Default Value.

Note: The Default Value must be the same data type as the UDF. For example, the Default Value for an integer UDF must also be an integer. 

If the Default Value field is blank in Manage Institution, then the field will remain empty upon import.

Analysis Variable Direction

Users can now set the Analysis Variable Direction for Fair Lending and Fair Servicing Numeric and Integer User-Defined Fields to Positive or Negative. This setting affects which direction will be highlighted as favorable or unfavorable when statistical significance is identified in an analysis. If a field is marked Positive, a significant value smaller than the Control class value will be indicated as favorable. If a field is marked Negative, a significant value smaller than the Control class will be indicated as unfavorable.

For example, if a UDF is created for Fees such that higher value of Fees is considered unfavorable, the analysis variable should be set to positive.  A Difference of Means analysis of this field will show an unfavorable statistical significance when a Target class average fee is higher than the Control class average fee.  Conversely, if a UDF is created for Credits such that higher value of Credits is considered favorable, the analysis variable should be set to negative.  A Difference of Means analysis of this field will show an unfavorable statistical significance when a Target class average credit is less than the Control class average credit.

Redlining and Fair Lending Module

Creating a Dataset

We have improved the process when creating datasets in the Redlining Analysis module from existing Fair Lending datasets, and creating datasets in the Fair Lending module from existing Redlining datasets. 

The Automatch feature will now work seamlessly on the Map Fields screen of the Dynamic Import Wizard. 

Additionally, if the data you are bringing over has been geocoded already, the geocoding will be preserved during dataset creation. For example, if you are creating a Redlining dataset from an existing Fair Lending dataset, and the Fair Lending dataset has been geocoded, that geocoding will be imported into Redlining when you create your new dataset.

CRA Module

New OCC Reports

Two new OCC reports have been added under Regulatory reports: Branch Network in the Rated Region by Assessment Area and Branch Opening/Closing in the Rated Region by Assessment Area.

New FDIC Reports

Two new FDIC reports have been added under Regulatory reports: Geographic Distribution of Home Mortgage Loans and Distribution of Home Mortgage Loans by Borrower Income Level.

Redlining Module

Combined Minority and Combined Race/Ethnicity Fields

Combined Minority and Combined Race/Ethnicity have been added as fields to the Redlining module for HMDA datasets.

Fair Lending Module

Minimum Count of Records per Segment for Regression

The minimum count of records per segment in a Regression analysis has been hardcoded to be greater than or equal to 10. If a value less than 10 is entered, the value will be changed to 10 and the user will get a notification explaining that the minimum cannot be less than 10.

Records Output in Regression Analyses

A feature has been added to regression models so that advanced users can control how many records are displayed on the Records tab of a regression analysis in the analysis results screens. This setting is controlled in the Advanced menu of the model setup screens. Here users can set a maximum record output that will limit the records displayed.  All existing models have been set to the default maximum of 10,000.

The full download of records can still be accessed utilizing the Download Analysis option from the main Analysis menu.