Added on December 20, 2013
Settlement Is Department's Third Largest Fair Lending Agreement Ever and Largest Ever Auto Lending Agreement The Department of Justice and the Consumer Financial Protection Bureau (CFPB) today announced the federal government's largest auto loan discrimination settlement in history to resolve allegations that Detroit-based Ally Financial Inc. and Ally Bank have engaged in an ongoing nationwide pattern or practice of discrimination against African-American, Hispanic and Asian/Pacific Islander borrowers in their auto lending since April 1, 2011. The agreement is the first joint fair lending enforcement action by the department and CFPB. With this agreement, eight of the top 10 largest fair lending settlements in the department's history have been under Attorney General Eric
Added on December 19, 2013
The Justice Department announced today that Fort Davis State Bank, based in Fort Davis, Texas, will implement uniform pricing policies, conduct employee training and pay $159,000 as part of a settlement to resolve allegations that it engaged in a pattern or practice of discrimination on the basis of national origin. The settlement, which is subject to court approval, was filed in conjunction with the department's complaint in the U.S. District Court for the Western District of Texas. The complaint alleges that Fort Davis State Bank violated the Equal Credit Opportunity Act (ECOA) by charging higher prices for unsecured consumer loans to Hispanic borrowers than to similarly qualified non-Hispanic borrowers. Fort Davis State Bank is a community bank with three branches that for
Added on December 13, 2013
Although geocoding is only one part of the examination accuracy testing, it is substantially different from the other submittable data that is tested. The geocode is probably the most important data element because of its demographic impact. There is no such thing as 100% accuracy for geocodes on a complete LAR due to the complexities and subtleties of the subject, but there is at least one proven solution that can achieve greater than 98% accuracy. This document contains statistical and anecdotal evidence describing how to achieve the highest precision level possible to help avoid a time-consuming resubmission process or a costly penalty.
Added on January 1, 2010
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