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By: Kristan Frend As if business owners need one more thing to worry about — according to the Javelin Strategy & Research’s 2010 Identity Fraud Survey Report, respondents who defined themselves as “self-employed” or “small business owners” were one-and-a-half times more likely to be victims of identity theft. Intuitively this makes sense- business owners exposure would be higher than the average consumer as their information is viewed more often due to the broad array of business service needs. Also consider the fact that until recently, multiple states had public records containing proprietors social security numbers as tax identification numbers readily accessible on-line. What a perfect storm this has all created! Javelin’s report also explained that while the average fraud incidence for business owners was lower than the average consumers, small business owner’s consumer costs were higher. In other words the small business owner suffered more out of pocket costs for identity theft losses than the average consumer. Experts believe this is due to the fact that commercial accounts often do not receive the same fraud guarantee protections that consumer accounts are afforded. While compliance regulations such as Red Flags Rules will enhance consumer safety, institutions must further develop their prevention and protection methods beyond what is legally required to sufficiently protect their small business customers from future fraud attacks. Small business owner fraud and the challenges organizations face in identifying and mitigating these losses are frequently overlooked and overshadowed by consumer fraud. Simply put, fraud is prevented because fraud is detected- verifying that the business owners is who they say they are using multiple data sources is critical to identifying applicant irregularities and protecting small business owners. A well-executed fraud strategy is more than just good business – it helps reduce small business customer acquisition costs and ultimately allows you to make better business decisions, creating a mutually beneficial relationship between your organization and the small business owner.

With the news from the Federal Reserve that joblessness is not declining, and in fact is growing, a number of consumers are going to face newly difficult times and be further challenged to meet their credit obligations. Thinking about how this might impact the already struggling mortgage market, I’ve been considering what the impact of joblessness is on the incidence of strategic default and the resulting risk management issues for lenders. Using the definitions from our previous studies on strategic default, I think it’s quite clear that increased joblessness will definitely increase the number of ‘cash-flow managers’ and ‘distressed borrowers’, as newly jobless consumers face reduced income and struggle to pay their bills. But, will a loss of income also mean that people become more likely to strategically default? By definition, the answer is no – a strategic defaulter has the capacity to pay, but chooses not to, mostly due to their equity position in the home. But, I can’t help but consider a consumer who is 20% underwater, but making payments when employed, deciding that the same 20% that used to be acceptable to bear, is now illogical and will simply choose to stop payment? Although only a short-term fix, since they can use far less of their savings by simply ceasing to pay their mortgage, this would free up significant cash (or savings) for paying car loans, credit cards, college loans, etc; and yet, this practice would maintain the profile of a strategic defaulter. While it’s impossible to predict the true impact of joblessness, I would submit that beyond assessing credit risk, lenders need to consider that the definition of strategic default may contain a number of unique, and certainly evolving consumer risk segments. __________________________ http://money.cnn.com/2010/08/19/news/economy/initial_claims/index.htm

With the recent release of first-time unemployment applications by the Labor Department showing weaker than expected results, it comes as no surprise that July foreclosure rates also reflect the on-going stress being experienced by consumers across the nation. When considering credit score trends and delinquency measures across credit products, it’s interesting to see how these trends appear to be playing out in terms of their impact on consumer score migration patterns. Over the past year or so, it appears that the impact of a struggling economy is the creation of a two-tier consumer credit system. On one hand, for consumers with stronger credit risk scores who are able to successfully manage their financial obligations, we see stability in the composition of the prime and super-prime population. On the other hand, as other consumers face challenging times, especially through joblessness and reductions in real-estate equity, there are consumers who experience significant credit management issues and subsequently, their risk scores decline. The interesting phenomenon is that there seems to be fewer and fewer consumers who remain in between these two segments. Credit score migration patterns suggest the evolution of two distinct consumer populations: a relatively stable, lower-risk segment, and a somewhat bottom-heavy higher-risk population, comprised of consumers with long-term repayment challenges, recent foreclosures, repossessions and higher delinquency rates. Clearly, this type of change in score distribution directly impacts lenders and their acquisition and account management strategies. With few signs of a pending economic recovery, it will be interesting to watch this pattern develop in the long-term to see if the chasm between these groups becomes wider and more measurable, or whether other economic influences will further transform the consumer credit landscape.
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