Finding Fair Lending Focal Points Using Excel

Though there are numerous software options available to help you keep track of your fair lending focal points, Excel can be a powerful tool if you know how to use it. Follow these easy steps to keep track of your loan products using a pivot table.

What is a Focal Point?

Fair Lending Focal Points are Each Potential Combination of “Loan Product(s), Markets(s), Decision Centers(s), Time Frame, Prohibited Basis and Control Groups.

  • Loan Product: Unique Combination of Loan Type, Loan Purpose, Property Type, Lien Status, Occupancy
  • Markets: MSAs
  • Decision Centers: Usually NA
  • Time Frame: Application Date or Action Date
  • Prohibited Basis Groups: American Indian/Alaskan Native, Asian, Black, Hawaiian/Pacific Islanders, Females, Age>=62, Hispanics (Other Possible Prohibited Basis Groups: Minority Tracts, MSAs, Applicant Income Groups)
  • Control Groups: White Non-Hispanics ( in Race/Ethnicity Analyses), Females (in Gender Analyses)

 

How To Find All Focal Points

1. Identify All Focal Points

2. Filter All Focal Points

  • High Loan Volume
  • Large Number/Percent of Protected Basis Applicants
  • Previous Exam Results
  • Good Data
  • Compliance Program

3. Filter Focal Points Further Based on Risk Factors   Import Your HMDA data into an Excel Spreadsheet

HDMA Data

4. Insert Pivot Table

Pivot Tables

5. Place Focal Point Pivot Table in an Excel Spreadsheet

Pivot Tables in Excel

6. Build the Focal Point Pivot Table

Building Focal Point Pivot Tables

7. Customize Focal Point Pivot Table

Customizing Focal Point Pivot Tables

8. Filter Focal Points (Minority Percent, High Loan Volumes)

Filtering Focal Points

How To Assess Focal Points for Risk

What Are Your Fair Lending Focal Point Risk Dimensions?

  • Underwriting
  • Pricing
  • Steering
  • Redlining
  • Foreclosures/Loan Mods
  • Small Business

Most Frequently Analyzed Risk Dimensions for Institutions

  • Residential/Consumer Markets (Traditional: Underwriting and Pricing) vs (New: Steering and Redlining)
  • What Risk Dimensions are Relevant, Given Your Bank’s Business Model?

Presentation Examples Focus On:

  • Underwriting
  • Pricing
  • Redlining
  • Steering

Underwriting Pivot Table

Underwriting Pivot Table   Underwriting Pivot Table with Statistics

Underwriting Pivot Table with Statistics

  • T-Value Cutoffs: +/- 1.96 for 95% Confidence Interval
  • Risky Segments: Hawaiians/Pacific Islanders

Pricing Incidence

1. Create Y/N Column Spreadsheet Data: =IF(Rate_Spread>0, ”Yes”, “No”)

Fair Lending Column Spreadsheet Data

2. Create Percent Table

Fair Lending Pricing Incidence

3. Generate Pivot Table with Statistics

Fair Lending Pivot Table

Steering Analysis

Fair Lending Steering Analysis

  Steering Analysis with Statistics

Fair Lending Steering Analysis With Statistics

Statistically Significant Segments: None   Redlining

1. Create Pivot Table Fair Lending Redlining

Risk Indicator Analysis: Redlining Pivot Tables

Conclusion

Fair Lending Risk Assessments Are Important

  • Regulators Expect to See Them

Institutions of All Sizes Can Use Excel To Do Their Risk Assessments

  • No Software Investment
  • Familiar Software / No Training Needed
  • Easy to Automate Using Macros
  • Useful for Quick Analyses, Even If You Have Software

See Your Fair Lending Exam Procedures for Additional Analyses

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