Redlining is one of the hottest regulatory topics. A recent agreement between HUD and First Federal Bank of Kansas City is a signal that lenders must not ignore. Read on for more detail regarding the $2.8M settlement and the 5 redlining risks that should be explored.
Redlining is arguably the hottest regulatory topics of late. Just last week, the U.S. Department of Housing and Urban Development (HUD) announced a $2.8 million agreement with First Federal Bank of Kansas City to resolve allegations of redlining.
From our perspective, clear trends are emerging in both the risk areas being evaluated by the regulators and the post-settlement “Fair Lending commitments” that have been agreed upon by financial institutions.
Redlining is defined is by the Federal Reserve as "the practice of denying a creditworthy applicant a loan for housing in a certain neighborhood even though the applicant may otherwise be eligible for the loan." The Fair Housing Act makes it unlawful for any person or other entity whose business includes residential real estate-related transactions to discriminate against any person because of race, gender or ethnicity.
First, we'll explore 10 themes that emerged from this most Redlining settlement agreement and then outline the 5 most important Redlining risks areas that can prepare your compliance department for redlining scrutiny.
As part of the HUD-mediated conciliation agreement, the $350M Kansas City Bank agreed to a variety items. While the following individual requirements are specific to this agreement, the 10 larger themes highlighted by this settlement are fairly common in the industry. They include:
TRUPOINT Viewpoint: The regulators continue to focus on Fair Lending, and redlining in particular, as witnessed by observing the recent settlements (e.g., First Federal Bank of Kansas City, Hudson City Savings Bank, Evans Bank and Eagle Bank).
More than ever before, banks should be exploring your redlining risk by evaluating your market area demographics, assessment area drawings, your distribution networks, your application and origination lending patterns, and your peer data. Stated again for emphasis, the regulators are judging your Fair Lending risk by exploring both your lending patterns and how your data compares to peers and/or geographic benchmarks.
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