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Credit Data Supports Risk-Based Pricing.

Mortgage Servicing News

| October 01, 2003 | Smith, Dolores | COPYRIGHT 2003 SourceMedia, Inc. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan.  All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)Copyright

Ms. Smith is director of the Federal Reserve Board's division of consumer and community affairs. This viewpoint is an excerpt of her recent congressional testimony.

Credit scoring has become an important tool in the credit granting process. Credit scoring models, which typically are proprietary to individual institutions or consumer reporting agencies, use credit bureau information and other data to construct mathematical scorecards that can accurately predict levels of creditworthiness across various populations.

These models assign positive and negative weights to items of information that have demonstrated statistical usefulness for the evaluation of credit risk. Credit scoring enables creditors to evaluate, quickly and inexpensively, the risk of lending to credit applicants, and promotes the making of expedited credit decisions in a safe and sound manner. Consumers benefit from the increased availability and lower cost of credit made possible by the use of credit scoring models. Credit scoring also may help to reduce unlawful discrimination in lending to the extent that these systems are designed to evaluate all applicants objectively and thus avoid issues of disparate treatment.

Credit evaluation systems rely on information gathered by consumer reporting agencies on consumers' borrowing and payment experiences to measure the credit risk posed by current and prospective borrowers. Risk-based pricing, which has become increasingly common in all sectors of the credit industry, is a mechanism by which the rates offered or charged to consumers reflect the creditworthiness and risk posed. Risk-based pricing is made possible because creditors have available to them data from consumer reports, including credit scores, which permit them to assess the risk profiles of individual consumers.

For example, a consumer demonstrated to have an extremely low risk of default or delinquency, based on a consumer report, would likely be offered a very favorable interest rate. A consumer with a marginal credit history, on the other hand, may also be offered credit, but at a higher rate.

Risk-based pricing permits creditors to offer credit products tailored to the consumer's individual risk profile.

Under the FCRA, if a creditor denies credit or takes other "adverse action" based on information in a consumer report, the creditor generally must give the consumer a notice of that fact. Among other things, the notice must also tell consumers of their right to obtain a free copy of their credit report and to dispute inaccurate information. The FCRA ...

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Source: HighBeam Research, Credit Data Supports Risk-Based Pricing.

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