Fair Lending Archives - Page 4 of 10

10Jan2019

Fair Lending Pricing Risk: Is There A Storm Coming?

All of us are familiar with the term “perfect storm.” A perfect storm can be defined as the occurrence of a highly improbable event. In the context of the perfect storm, the event is improbable because a combination of factors or conditions have to occur or exist either simultaneously or in a particular sequence in […]

13Dec2018

FDIC Continues to Promote Bank Startups

On December 6, the FDIC announced actions to promote a “more transparent, streamlined, and accountable deposit insurance application process” to encourage the establishment of new, or de novo, banks.

08Nov2018

Are My Fair Lending Statistical Regression Results Meaningful?

Your fair-lending regression results indicate a statistically significant disparity… now what? In our last blog post, we discussed the importance of a common-sense approach to statistical analysis. One common error in statistical analysis is to assume that a result is practically meaningful just because a result is statistically different from zero. This in not always […]

25Oct2018

Understanding Statistical Significance

As fair lending analysis becomes increasingly technical, industry practitioners have had to familiarize themselves with the terminology of statistical analysis. Statistical significance is one of the most common and foundational concepts to successfully navigating these new waters. Moreover, it is a concept that, when misunderstood, may result in serious error.

27Sep2018

When to Use a T-score Versus a Z-score in Fair Lending Analysis

When is it appropriate to use a t-score rather than a z-score? Will the results of fair lending analysis change if I use one rather than the other? These common questions are addressed in this video, the third part of our series reviewing statistical concepts that are fundamental to fair lending analysis. Z-scores and [...] Read More

13Sep2018

Fair Lending Statistics 101: How Distributions Are Used in Fair Lending

This is the second video in our series reviewing statistical concepts that are fundamental to fair lending analysis. In the first part of the series, we described a distribution as an approximation of a histogram of data. In this video, we explore how we use our knowledge of distributions in fair lending. Specifically, we explain why [...] Read More

30Aug2018

Fair Lending Statistics 101: What is a Distribution?

Fair lending analysis is becoming increasingly technical, which means a basic understanding of statistics is becoming increasingly important. This video is the first in a series of videos aimed at refreshing your memory on - or perhaps teaching you for the first time - statistical concepts that are fundamental to fair lending analysis. We begin [...] Read More

10May2018

The Importance of Sample Segmentation for Regression Analysis

One of the first questions before beginning any type of statistical analysis is what data are included and how should the sample or samples be formulated and segmented. In previous posts, we have addressed various nuances in regard to regression modeling and how the inappropriate application of regression and modeling techniques to real world issues […]

08Mar2018

Prevalence of Online Mortgage Lending & Fair Lending

The Federal Reserve Bank of New York released in February (2018) a study examining the role of technology-based residential mortgage lending. The report highlights the growth in volume of mortgage lending conducted exclusively over the internet along with other characteristics of this method of service delivery.

08Feb2018

Lenders Should be Prepared for Increased Fair Lending Pricing Scrutiny

As is the case with most things in life, the regulatory environment goes through cycles. With respect to fair lending, examinations in the past few years have emphasized issues such as loan underwriting, redlining, and steering as opposed to pricing. Part of the explanation for this is cyclical, but also because examiners have perceived pricing […]

Category: Fair Lending