Fed releases study on racial bias in mortgage lending

Bank Regulatory Federal Issues Federal Reserve Discrimination Mortgages HMDA Fintech Consumer Finance

Recently, the Federal Reserve Board published a study titled How Much Does Racial Bias Affect Mortgage Lending? Evidence from Human and Algorithmic Credit Decisions. Using confidential supervisory data collected under HMDA to estimate the extent of racial and ethnic discrimination in mortgage lending, the study found that racial bias has played “a limited role” in recent years in generating disparities seen in mortgage lending denials. The researchers acknowledged that as a self-reporting mechanism, HDMA reports may not reflect reality, “as a lender engaged in illegal discrimination would be unlikely to explicitly admit this.” The study also analyzed denial rates among fintech lenders, finding that by automating more of the application process, fintech firms have the potential to decrease racial discrimination. The study also found that excess denials are higher at fintech lenders, which is “the opposite result we would expect if excess denials reflect racially biased human judgment.” Additionally, the study found that group differences in risk characteristics drive most of the disparities in credit access. The study showed that Black and Hispanic applicants tend to be more leveraged and have much lower credit scores. Both groups of applicants are “less likely to receive algorithmic approval recommendations from government automated underwriting systems (AUS) than white applicants,” the study found. The study also noted caveats, such as that the researchers “only study discrimination in approval decisions conditional on formally applying.”