Location: Massachusetts
Author: Jorge Lavina
Date: Friday, March 28, 2008
Falling home prices and inappropriate mortgage underwriting have grabbed the headlines and much of the blame for mortgage credit woes in recent months. But the significant rise in mortgage fraud over the past 10 years is another important trend. New research from TowerGroup predicts that losses from mortgage fraud will reach $2.5 billion (USD) in 2008 and that comparable losses will continue for several years thereafter. TowerGroup anticipates that lenders will respond by deploying technology tools to assist in the detection and prevention of mortgage fraud and that their annual spending on such tools will reach several hundreds of millions of dollars in the next few years.
Mortgage fraud is difficult to track and takes many forms — for example, fraudsters cheating borrowers out of their properties with false promises of foreclosure avoidance or using the identity of a real person (often without his or her knowledge) to fraudulently purchase one or more properties. TowerGroup has developed a graphic that helps categorize the different motives and methods of mortgage fraud.
To view the graphic, click here.
“Much of the growth in mortgage fraud has been due to the ever-increasing sophistication of fraudsters’ schemes to fabricate the values of mortgaged property,” said David Hamermesh, senior analyst in the Consumer Lending research service at TowerGroup. “Fraud prevention is best done proactively, before the loan closes. Lenders must invest in analytical tools to identify loans at a high risk for fraud, while technology vendors must do more to improve the predictive power of the analytical tools they provide.”
Highlights of the research include:
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The growth rate in filings of Suspicious Activity Reports (SARs) related to mortgage fraud rose to 56 percent annually between 2002 and 2007 from its previous average of 26 percent annually from 1996 to 2002.
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Lenders, investors, and other mortgage industry participants will come to recognize the value of pooling their data to support more accurate predictive modeling as well as to facilitate their analysts’ ability to find and react to innovative fraud schemes.
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To combat growing losses from all types of mortgage fraud, technology companies should develop a “one-stop shop” that provides lenders with a truly integrated solution. Such a comprehensive tool would provide increased predictive power, better system performance, and holistic risk assessment that cannot be matched by a lender trying to cobble together individual tools from multiple sources.
“Technology companies that offer fraud detection solutions will need to develop professional services capabilities to provide lenders with file reviewers who are trained in assessing possible fraud. This service can supplement a lender’s own underwriters and be an efficient way to evaluate those loans flagged as most risky by automated scoring tools,” added Hamermesh.
The new research, titled “U.S. Mortgage Fraud: Types, Trends, and Detection Tools,” examines the different types of fraud, characterizes the tools available to combat fraud schemes, and assesses likely future directions of mortgage fraud prevention services and products.
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