People rely on credit cards, personal loans, mortgages and auto loans, among other financial products to buy homes, fund college educations, weather temporary income disruptions and finance billions of daily transactions for goods and services. Credit is the cornerstone of the pursuit of our financial ambitions. That’s why the credit reporting industry is deeply committed to broadening access to fair and affordable financial resources for all consumers, particularly for individuals and households from underserved communities.
The commitment is underscored by the continual effort to evolve the credit reporting system and incorporate new data sets to provide lenders a more comprehensive view of consumers’ ability and capacity to repay outstanding debt. Although progress has been made to extend credit to more prospective borrowers across the risk spectrum, if we want to continue to broaden the scope, we need to encourage the consistent reporting of additional predictive data sources to help lenders assess consumers’ creditworthiness.
A proven track record but there’s more work to do
Over the past century, the credit reporting industry transitioned from an opaque system founded on relationships to one rooted in data. Lenders lean on past payment history on similar loans (i.e., auto loans, mortgages, credit cards, etc.) as a reliable predictor of a borrower’s future loan payment performance—it’s a way for them to mitigate risk and say “yes” to more borrowers.
And it works. The comprehensive reporting of past loan performance, coupled with increasingly sophisticated statistical prediction models, as well as the adoption of risk-based pricing, accelerated the extension of credit to more consumers.
Yet, according to research from Experian and Oliver Wyman, millions of Americans lack access to mainstream credit because they are credit invisible, unscorable or have a subprime credit score. It’s particularly challenging for younger individuals, newly arrived immigrants and historically underserved communities, such as racial and ethnic minorities. At times it can be a catch-22; in order to get credit, you have to have credit.
More predictive data is key
At Experian, we’ve long understood that expanding the universe of creditworthy borrowers requires more data. In addition to some of the more conventional tradelines, such as mortgages, auto loans and credit cards, we have to explore expanded data sources that are predictive of a prospective borrower’s credit risk.
For instance, more consumers are using buy now, pay later (BNPL) products, and nearly every consumer makes recurring monthly payments for rent, utilities, cell phones and even video streaming services, yet oftentimes, these data points are not consistently reported to the credit reporting agencies nor considered during lending decisions. Collectively, the industry and regulators, need to do more to encourage the consistent reporting and inclusion of expanded data onto consumers’ credit reports.
In fact, based on our research, we’ve found that some of the aforementioned expanded data sources can empower lenders to assess the credit risk of a significantly larger pool of consumers. These expanded data sources have been shown to be highly accurate predictors of future loan payment behavior. And, when expanded data is combined with advanced analytics, up to 96% of the population can be scored, including an estimated 65% of credit invisibles.1
Broadening access to fair and affordable credit for more consumers means leaning into combining conventional tradelines with expanded Fair Credit Report Act-regulated data sources. The more information lenders have available to them about prospective borrowers’ past payment performance the more empowered they are to minimize risk and more confidently extend credit. Pushing for more data is the best path forward.