Category: Fair Lending

Fair Lending

Fair Lending Analysis and Understanding Census Data

In fair lending analysis, one of the most common comparisons is to examine loan files based on race or ethnicity. These classifications are often misunderstood and can be confusing. This is because race and ethnicity are two different things.

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Forms of Fair Lending Discrimination: Fees

Lending fees represent a major area of risk among forms of fair lending discrimination. In this article, we explore a fair lending analysis of fees.

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Forms of Fair Lending Discrimination: Steering

  In this series of posts, we address types of fair lending discrimination that are commonly recognized by the regulatory and enforcement agencies. The points covered are risk areas that are often examined in the course of regulatory reviews. Today’s entry will cover the unfair practice known as “steering.” It is critical to bear in […]

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Lenders Should Be Aware of Fair Lending Risk as Interest Rates Rise

After being at record lows for nearly a decade, the Fed has raised interest rates three times in the past fifteen months. Although the current rate of 1% is still historically low, the rate environment has been static up until December of 2016.

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Forms of Fair Lending Discrimination: Introduction

  In an upcoming series of posts we address types of fair lending discrimination that are commonly recognized by the regulatory and enforcement agencies.

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Issues in Regression Modeling For Fair Lending Underwriting Analysis (Part 2 of 2)

In our previous post, we addressed a few frequently encountered issues when using regression methods to conduct a fair lending analysis. 

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Issues in Regression Modeling For Fair Lending Underwriting Analysis (Part 1 of 2)

Evaluating loan application outcomes (approval or denial) in the context of fair lending is referred to as an “underwriting analysis.” Regression modeling is commonly employed in such analyses.

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Underwriting Analysis for Fair Lending Using Logistic Regression: Odds Ratio vs. Marginal Effects

When conducting fair lending regression analysis of underwriting, we are examining a sample of loan applications that were either approved or denied. The practice is to regress denial (y=1 if denied, 0=approved) on a target group indicator variable and other attributes upon which the loan decision should have been based.   

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To Be Successful in Fair Lending, Lenders Must Discriminate

Several years ago, I began a conference presentation by making the statement: “To be successful at fair lending, you must learn how to properly discriminate.” The statement was obviously meant to be provocative, and it must have worked because it was quite some time before I was invited back (just kidding). The statement, however, is […]

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Manage Customer Service Perceptions to Lower Fair Lending Risk

In a previous post, we addressed the importance of customer service as a component of managing fair lending risk. While it is important for an institution to have efficient processes in place to facilitate the lending process, equally important is the recognition that business is relationship.

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