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			 Credit reports now show if you regularly pay your credit cards in 
			full every month - making you a low-risk "transactor" - or if you 
			are a higher-risk "revolver" who carries a balance. 
			 
			Some lenders use the information to determine what types of credit 
			cards and loans to market to people, while others are starting to 
			use the distinctions in decisions about whether to grant credit at 
			all, as well as what rates and terms to offer. 
			 
			Fannie Mae said on Monday it would require mortgage lenders to use 
			this so-called "trended credit data" in loan decisions started in 
			mid-2016. The change could help people with lower credit scores 
			secure mortgages if they have a history of paying off their cards. 
			 
			Separating transactors from revolvers has become "the hot credit 
			report attribute du jour" for lenders and researchers, said credit 
			expert John Ulzheimer, who has worked for credit scoring company 
			FICO and credit bureau Equifax. 
			  
			  
			 
			Lenders are constantly looking for better ways to assess risk, and 
			payment trend data seems to offer insights that traditional credit 
			scoring models do not, said Alex Johnson, senior analyst for 
			Mercator Advisory Group, a payment and banking industry consultant. 
			 
			"I would be surprised if there were any large banks that aren't 
			actively evaluating how to use this information," Johnson said. 
			"This data tells a much richer story, because you can see the trends 
			over time." 
			 
			That is in contrast to the credit scores currently used in most 
			lending decisions, which do not distinguish between people who carry 
			balances on credit cards and those who pay them off. The latest 
			versions of the leading FICO credit scoring formula and its main 
			rival, the VantageScore, do not incorporate payment trend data, 
			those companies confirmed. 
			 
			The three major credit bureaus Equifax, Experian and TransUnion, 
			added payment patterns to credit reports two to three years ago, and 
			researchers soon discovered that the differences in payment patterns 
			are "very predictive" in determining who will default, Ulzheimer 
			said. 
			 
			"Revolvers are many times riskier," Ulzheimer said. "It makes a huge 
			difference." 
			 
			Revolvers are three times more likely to default on new credit cards 
			and auto loans than transactors, and five times more likely to 
			default on current cards, a study by credit bureau TransUnion found. 
			"Partial" payers - those who actively pay down their balances - are 
			typically less risky than "minimum" payers who pay only what they're 
			required to pay each month, a follow-up TransUnion study found. 
			 
			Credit bureau Experian has incorporated payment trend data in its 
			Trended Solutions products to help lenders spot risk and more 
			precisely target borrowers with credit card offers based on their 
			behavior over time, said Paul DeSaulniers, Experian senior director 
			for risk scoring and trended data solutions. 
			
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			Equifax has a similar product called Dimensions. 
			 
			TransUnion, meanwhile, sells lenders a product called CreditVision 
			that lenders have started using for credit decisions as well as 
			marketing, said Mike Mondelli, senior vice president of TransUnion 
			Alternative Data Services. All three bureaus also sell payment 
			pattern data to lenders who create their own custom scores. 
			 
			TransUnion recently introduced a second version of its product, 
			called CreditVision Link, that also factors in alternative 
			non-credit data such as checking accounts, address changes and 
			magazine subscriptions to identify people who may be good credit 
			risks but who are overlooked or downgraded by traditional formulas. 
			Using payment patterns and alternative data, the formula identified 
			23 million people as "prime" or "near prime" - that is, good risks - 
			who were categorized as "nonprime" or not good risks under 
			traditional credit scores, Mondelli said. 
			 
			Both CreditVision products look at payments and balance data over 30 
			months, rather than a one-month snapshot, to determine if carrying a 
			large balance is an anomaly. The formula also adds points to scores 
			for consistently responsible payment patterns over an 82 month time 
			horizon, compared to 48 months in traditional scores. 
			 
			A lender may have a credit score cutoff of 660, for example, which 
			would mean someone with a traditional score of 659 would be turned 
			down, Mondelli said. But the CreditVision score may add a few points 
			for regularly paying off or paying down credit card balances. 
			 
			If your score is boosted to 665, you get approved. If you're boosted 
			well above the cutoff, "you may get a better offer" such as a lower 
			interest rate, Mondelli said. 
			
			  
			 
			 
			Using payment patterns this way is not the norm yet. But Mondelli 
			predicted most if not all lenders would soon be adopting it as a 
			best practice. 
			 
			"It's becoming much more mainstream," said Mike Mondelli "Clearly 
			there's value in looking deeper." 
			 
			(Editing by Beth Pinsker, Andrew Hay and David Gregorio) 
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