Tag: VantageScore

A surprising occurrence is happening in the consumer credit markets. Bank card issuers are back in acquisition mode, enticing consumers with cash back, airline points and other incentives to get a share of their wallet. And while new account originations are nowhere near the levels seen in 2007, recent growth in new bank card accounts has been significant; 17.6% in Q1 2011 when compared to Q1 2010. So what is accounting for this resurgence in the credit card space while the economy is still trying to find its footing and credit is supposedly still difficult to come by for the average consumer? Whether good or bad, the economic crisis over the past few years appears to have improved consumers debt management behavior and card issuers have taken notice. Delinquency rates on bank cards are lower than at any time over the past five years and when compared to the start of 2009 when bank card delinquency was peaking; current performance has improved by over 40%. These figures have given bank card issuers the confidence to ease their underwriting standards and re-establish their acquisition strategies. What’s interesting however is the consumer segments that are driving this new growth. When analyzed by VantageScore, new credit card accounts are growing the fastest in the VantageScore D and F tiers with 46% and 53% increases year over year respectively. For comparison, VantageScore A and B tiers saw 5% and 1% increases during the same time period respectively.   And although VantageScore D and F represent less than 10% of new bank card origination volume ($ limits), it is still surprising to see such a disparity in growth rates between the risk categories. While this is a clear indication that card issuers are making credit more readily available for all consumer segments, it will be interesting to see if the debt management lessons learned over the past few years will stick and delinquency rates will continue to remain low. If these growth rates are any indication, the card issuers are counting on it.

By: Tracy Bremmer Score migration has always been a topic of interest among financial institutions. I can remember doing score migration analyses as a consultant at Experian for some of the top financial institutions as far back as 2004, prior to the economic meltdown. Lenders were interested in knowing if I could approve a certain number of people above a particular cut-off, and how many of them will be below that cutoff within five or more years. Or conversely, of all the people I’ve rejected because they were below my cut-off, how many of them would have qualified a year later or maybe even qualified the following month. We’ve done some research recently to gain a better understanding of the impact of score migration, given the economic downturn. What we found was that in aggregate, there is not a ton of change going on. Because as consumers move up or down in their score, the overall average shift tends to be minimal. However, when we’ve tracked this on a quarterly basis into score bands or even at a consumer level, the shift is more meaningful. The general trend is that the VantageScore® credit score “A” band, or best scorers, has been shrinking over time, while the VantageScore® credit score “D” & “F” bands, lower scorers, has grown over time. For instance, in 2010 Q4, the amount of consumers in VantageScore® credit score A was the lowest it has been in the past three years. Conversely, the number of consumers falling into the VantageScore® credit score “D” & “F” bands are the highest they have been during that same time period. This constant shift in credit scores, driven by changes in a consumer’s credit file, can impact risk levels beyond the initial point of applicant approval. For this reason, we recommend updating and refreshing scores on a very regular basis, along with regular scorecard monitoring, to ensure that risk propensity and the offering continue to be appropriately aligned with one another.

By: Kari Michel In January, Experian announced the inclusion of positive rental data from its RentBureau division into the traditional credit file. This is great news for an estimated 50 million underbanked consumers - everyone from college students and recent graduates to immigrants - to build credit with continuous on-time rental payments. With approximately 1/3 of Americans renting, lenders who are using VantageScore will benefit from the inclusion of RentBureau data into the score calculation.  VantageScore from Experian is able to both enhance its predictive ability for those that can already be scored as well as provide scores for those that previously could not be scored. With the inclusion of RentBureau data, 34% of thin file consumers increased their score from an ‘F’ (VantageScore 501 – 599) to a ‘D’ (VantageScore 600 – 699). For those consumers that did not have a prior credit history, 70% of them were able to be scored after the inclusion of RentBureau data into the credit repository.  As a result, fewer consumers will get a “no hit” returned to lenders during a credit inquiry. Lenders will now have a comprehensive understanding of a consumer’s total monthly obligations to assist with offering credit to emerging consumers.

By: Kari Michel Lending institutions are more challenged today than ever before when assessing credit risk to find creditworthy consumers. Since 2006, the start of the housing bust and recession, consumer’s overall creditworthiness has deteriorated, especially those consumers who once had a high score (low risk). “For example, a study earlier this year by VantageScore® Solutions LLC found that the probability of serious delinquency, defined as nonpayment for 90 days or more, had increased by 417 percent among “super prime” borrowers between June 2007 and June 2009. Default risk during the same period rose by 406 percent for the second-highest rated category of “prime” consumers, and nearly doubled for those at the “near prime” scoring level.”* The VantageScore® credit score model is one example of a credit risk model that was recently redeveloped to capture the changing consumer behavior of repayment. The development data set included 45 million consumer credit profiles for the time period of 2006 to 2009.  The VantageScore® credit score will be released for lenders use January 2011. *Source: The Washington Post, “Walk-aways leading to big changes for all borrower’s credit score, November 5, 2010 Link for article:  http://www.washingtonpost.com/wp-dyn/content/article/2010/11/05/AR2010110502133.html

By: Staci Baker As we approach the end of the year, and the beginning of holiday spending, consumers are looking at their budgets to determine what level of spending they can do this holiday season, or if they will need additional credit for those much wanted gifts. With that in mind, it is a great time for lenders to evaluate their portfolios to determine which consumers are the best credit risks. According to the National Retail Federation, consumer spending will be up 2.1% for the 2010 holiday season. Although still at pre-recession levels, consumer confidence is starting to re-bound.  But, with an increase in consumer confidence, how will lenders meet the demand for credit, and determine the credit worthiness of potential applicants? Since the beginning of the recession there has been a demand for tools that will assist lenders in managing credit risk. One such tool is the tri-bureau VantageScore, a scoring model that is highly accurate, offers greater predictiveness, and is able to score more people. Scoring models allow lenders to predict the likelihood a consumer will default on a loan. Determining who is a qualified candidate through scoring models is only part of the equation. Each lender needs to determine what level of risk to take, and what is the cost of the credit per applicant. By assessing credit risk, having a good plan in place and knowing who the target customer is, lenders will be more prepared for the holiday season. ___________________ National Retail Federation, http://www.nrf.com/modules.php?name=News&op=viewlive&sp_id=1016

By: Kari Michel How are your generic or custom models performing? As a result of the volatile economy, consumer behavior has changed significantly over the last several years and may have impacted the predictiveness of your models. Credit models need to monitored regularly and updated periodically in order to remain predictive. Let’s take a look at VantageScore, it was recently redeveloped using consumer behavioral data reflecting the volatile economic environment of the last few years. The development sample was compiled using two performance timeframes: 2006 – 2008, and 2007 – 2009, with each contributing 50% of the development sample. This is a unique approach and is unlike traditional score development methodology, which typically uses a single, two year time window. Developing models with data over an extended window reduces algorithm sensitivity to highly volatile behavior in a single timeframe. Additionally, the model is more stable as the development is built on a broader range of consumer behaviors. The validation results show VantageScore 2.0 outperforms VantageScore 1.0 by 3% for new accounts and 2% for existing accounts overall. To illustrate the differences that were seen in consumer behavior, the following chart and table show the consumer characteristics that contribute to a consumer’s score and compare the characteristic contributions of VantageScore 2.0 vs VantageScore 1.0. Payment History Utilization Balances Length of Credit Recent Credit Available Credit Vantage Score 2.0 28% 23% 9% 8% 30% 1% Vantage Score 1.0 32% 23% 15% 13% 10% 7% As we expect ‘payment history’ is a large portion driving the score, 28% for VantageScore 2.0 and 32% for VantageScore 1.0. What is interesting to see is the ‘recent credit’ contribution has increased significantly to 30% from 10%. There also is a shift with lower emphases on balances, 9% versus 15% as well as ‘length of credit’, 8% versus 13%. As you can see, consumer behavior changes over time and it is imperative to monitor and validate your scorecards in order to assess if they are producing the results you expect. If they are not, you may need to redevelop or switch to a newer version of a generic model.

By: Staci Baker As the economy has been hit by the hardest recession since the Great Depression, many people wonder how and when it will recover.  And, once we start to see recovery, will consumer credit return to what it once was? In a recent Experian-Oliver Wyman Market Intelligence Report quarterly webinar, 70% of the respondents in a survey said they believe consumer debt will return to pre-2008 levels.  Clearly, many believe that consumer spending and borrowing will return, despite the fact that consumer credit card borrowing recently declined for the 24th straight month*. Assuming that this optimism is valid, what can credit card lenders do to evaluate the risk levels of potential customers as they attempt to grow their portfolios? For lenders, determining who needs credit, as well as whom to lend to in this economic environment, can be quite challenging.  However, there are many tools available to assist lenders in assessing credit risk and growing their portfolio. Many lenders look at a consumer’s credit score, such as the tri-bureau VantageScore, to evaluate their credit worthiness. By utilizing an individual’s VantageScore, a lender is able to determine potential customer risk levels. Another way to evaluate a consumer’s credit worthiness is to evaluate a population using credit attributes.  Based on the attributes a lender is looking for in their portfolio, they can see improvement in evaluating risk prediction in their portfolio using pre-determined attributes, especially those specifically designed for the credit card industry. There are also models that can help lenders predict when a consumer is likely to be in the market for a new loan or account. Experian’s In the Market Models provide lenders with product-specific segmentation tools that can be combined with risk scores to enhance the efficiency and effectiveness of their offers. To identify the optimal cross-sell and line management decisions based on an individual customer’s risk score and potential value, a lender can also utilize optimization tools.  Optimization, combined with a viable risk management strategy, can assist a lender to achieve a healthy portfolio growth in a highly constrained environment. Although lenders will need to determine the best method to meet their objectives, these are just a few of the many tools available that will assist them in correctly growing their lending portfolios. ____________________ * http://www.usatoday.com/money/economy/2010-10-07-consumer-credit_N.htm

By: Kari Michel Credit risk models are used by almost every lender, and there are many choices to choose from including custom or generic models.  With so many choices how do you know what is best for your portfolio?  Custom models provide the strongest risk prediction and are developed using an organization’s own data.  For many organizations, custom models may not be an option due to the size of the portfolio (may be too small), lack of data including not enough bads, time constraints, and/or lack of resources. If a custom model is not an option for your organization, generic bureau scoring models are a very powerful alternative for predicting risk.  But how can you understand if your current scoring model is the best option for you? You may be using a generic model today and you hear about a new generic model, for example the VantageScore® credit score.   How do you determine if the new model is more predictive than your current model for your portfolio?  The best way to understand if the new model is more predictive is to do a head-to-head comparison – a validation.  A validation requires a sample of accounts from your portfolio including performance flags.  An archive is pulled from the credit reporting agency and both scores are calculated from the same time period and a performance chart is created to show the comparison. There are two key performance metrics that are used to determine the strength of the model.  The KS (Komogorov-Smirnov) is a statistical term that measures the maximum difference between the bad and good cumulative score distribution.  The KS range is from 0% to 100%, with the higher the KS the stronger the model.  The second measurement uses the bad capture rate in the bottom 5%, 10% or 15% of the score range. A stronger model will provide better risk prediction and allow an organization to make better risk decisions.  Overall, when stronger scoring models are used, organizations will be best prepared to decrease their bad rates and have a more profitable portfolio.  

By: Staci Baker With the increase in consumer behaviors such as ‘strategic default’, it has become increasingly difficult during the past few years for lenders to determine who the most creditworthy consumers are – defining consumers with the lowest credit risk. If you define risk as ‘the likelihood of [a consumer] becoming 90 days or more past due’, the findings are alarming. From June 2007 to June 2009, Super Prime consumers (those scoring 900 or higher) in the U.S. have gone from an average  VantageScore® credit score* of 945 to 918, which increased their risk level  from approx. 0.12% to 0.62% - an increase of 417% for this highly sought after population!  Prime and near prime risk levels increased by 400% and 96% respectively.  Whereas subprime consumers with few choices (stay subprime or improve their score), saw a slight decrease in risk, 8% - increasing their average VantageScore® credit score from 578 to 599. So how do lenders determine who to lend to, when the risk level for all credit tiers increases, or remain risky?  In today’s dynamic economy, lenders need tools that will give them an edge, and allow them to identify consumer trends quickly.  Incorporating analytic tools, like Premier Attributes, into lender’s origination models, will allow them to pinpoint specific consumer behavior, and provide segmentation through predefined attribute sets that are industry specific and target profitable accounts to improve acquisition strategies. As risk levels change, maintaining profitability becomes more difficult due to shrinking eligible consumer pools.  By adding credit attributes, assessing credit risk both within an organization and for new accounts will be simplified and allow for more targeted prospects, thus maximizing prospecting strategies across the customer lifecycle and helping to increase profitability. * VantageScore®, LLC, May, 2010, “Finding Creditworthy Consumers in a Changing Economic Climate”  

By: Kari Michel Credit quality deteriorated across the credit spectrum during the recession that began in December, 2007. As the recession winds down, lenders must start strategically assessing credit risk and target creditworthy consumer segments for lending opportunities, while avoiding those segments where consumer credit quality could continue to slip. Studies and analyses by VantageScore® Solutions, LLC demonstrate that there are more than 60 million creditworthy borrowers in the United States - 7 million of whom cannot be identified using standard scoring models. Leveraging methods using the VantageScore® credit score in conjunction with consumer credit behaviors can effectively identify profitable opportunities and segments that require increased risk mitigation thus optimizing decisions. VantageScore Solutions examined how consumers credit scores changed over a 12 month period.  The study focused on three areas of consumer behavior: Stable:  consumers that stay within the same credit tier for one year Improving:  consumers that move to a higher credit tier in any quarter and remain at a high credit tier for the remainder of the timeframe Deteriorating: consumers that move to a lower credit tier in any quarter and remain at a lower credit tier for the remainder of the timeframe Through a segmentation approach, using the three credit behaviors above and credit quality tiers, emerges a clearer picture into profitable segments for acquisitions and existing account management strategies. Download the white paper, “Finding creditworthy consumers in a changing economic climate”, for more information on finding creditworthy consumers from VantageScore Solutions. Lenders can use a similar segmentation analysis on their own population to identify pockets of opportunity to move beyond recession-based management strategies and intelligently re-enter into the world of originations and maximize portfolio profitability.

A common request for information we receive pertains to shifts in credit score trends. While broader changes in consumer migration are well documented – increases in foreclosure and default have negatively impacted consumer scores for a group of consumers – little analysis exists on the more granular changes between the score tiers. For this blog, I conducted a brief analysis on consumers who held at least one mortgage, and viewed the changes in their score tier distributions over the past three years to see if there was more that could be learned from a closer look. I found the findings to be quite interesting. As you can see by the chart below, the shifts within different VantageScore® credit score tiers shows two major phases. Firstly, the changes from 2007 to 2008 reflect the decline in the number of consumers in VantageScore® credit score tiers B, C, and D, and the increase in the number of consumers in VantageScore® credit score tier F. This is consistent with the housing crisis and economic issues at that time. Also notable at this time is the increase in VantageScore® credit score tier A proportions. Loan origination trends show that lenders continued to supply credit to these consumers in this period, and the increase in number of consumers considered ‘super prime’ grew. The second phase occurs between 2008 and 2010, where there is a period of stabilization for many of the middle-tier consumers, but a dramatic decline in the number of previously-growing super-prime consumers. The chart shows the decline in proportion of this high-scoring tier and the resulting growth of the next highest tier, which inherited many of the downward-shifting consumers. I find this analysis intriguing since it tends to highlight the recent patterns within the super-prime and prime consumer and adds some new perspective to the management of risk across the score ranges, not just the problematic subprime population that has garnered so much attention. As for the true causes of this change – is unemployment, or declining housing prices are to blame? Obviously, a deeper study into the changes at the top of the score range is necessary to assess the true credit risk, but what is clear is that changes are not consistent across the score spectrum and further analyses must consider the uniqueness of each consumer.

In the past few days I’ve read several articles discussing how lenders are taking various actions to reduce their exposure to toxic mortgages – some, like Bank of America, are engaging new principal repayment programs.*  Others, (including Bank of America) are using existing incentive programs to fast-track the approvals of short-sales to stunt their losses and acquire stronger lenders on existing real-estate assets. Given the range of options available to lenders, there are significant decisions to make regarding the creditworthiness of existing consumers and which treatment strategies are best for each borrower, these decisions important for assessing credit risk, loan origination strategies and loan pricing and profitability.  Experian analysis has uncovered the attributes of borrowers with various borrowing behaviors: strategic defaulters, cash-flow managers, and distressed borrowers, each of whom require a unique treatment strategy. The value of credit attributes and predictive risk scores, like Experian Premier Attributes and VantageScore® credit score, has never been higher to lenders. Firms like Bank of America are relying on credit delinquency attributes to segment eligible borrowers for its programs, and should also consider that more extensive use of attributes can further sub-segment its clients based on the total consumer credit profile. Consumers who are late on mortgage payments, yet current on other loans, may be likely to re-default; whereas some consumers may merely need financial planning advice and enhanced money management skills. As lenders develop new methods to manage portfolio risk and deal with toxic assets on their portfolios, they should also continue to seek new and innovative analytics, including optimization, to make the best decisions for their customers, and their business. *  LA Times, March 25, 2010, ‘Bank of America to reduce mortgage principal for some borrowers’

As the economic environment changes on what feels like a daily basis, the importance of having information about consumer credit trends and the future direction of credit becomes invaluable for planning and achieving strategic goals. I recently had the opportunity to speak with members of the collections industry about collections strategy and collections change management -- and discussed the use of business intelligence data in their industry. I was surprised at how little analysis was conducted in terms of anticipating strategic changes in economic and credit factors that impact the collections business. Mostly, it seems like anecdotal information and media coverage is used to get ‘a feeling’ for the direction of the economy and thus the collections industry. Clearly, there are opportunities to understand these high-level changes in more detail and as a result, I wanted to review some business intelligence capabilities that Experian offers – and to expand on the opportunities I think exist to for collections firms to leverage data and better inform their decisions: * Experian possesses the ability to capture the entire consumer credit perspective, allowing collections firms to understand trends that consider all consumer relationships. * Within each loan type, insights are available by analyzing loan characteristics such as, number of trades, balances, revolving credit limits, trade ages, and delinquency trends. These metrics can help define market sizes, relative delinquency levels and identify segments where accounts are curing faster or more slowly, impacting collectability. * Layering in geographic detail can reveal more granular segment trends, creating segments for both macro and regional-level credit characteristics. * Experian Business Intelligence has visibility to the type of financial institution, allowing for a market by market view of credit patterns and trends. * Risk profiling by VantageScore can shed light on credit score trends, breaking down larger segments into smaller score-based segments and identifying pockets of opportunity and risk. I’ll continue to consider the opportunities for collections firms to leverage business intelligence data in subsequent blogs, where I’ll also discuss the value of credit forecasting to the collections industry.  

In a recent presentation conducted by The Tower Group, “2010 Top 10 Business Drivers, Strategic Responses, and IT Initiatives in Bank Cards,” the conversation covered many of the challenges facing the credit card business in 2010.  When discussing the shift from “what it was," to “what it is now” for many issues in the card industry, one specific point caught my attention – the perception of unused credit lines – and the change in approach from lenders encouraging balance load-up to the perception that unused credit lines now represent unknown vulnerability to lenders. Using market intelligence assets at Experian, I thought I would take a closer look at some of the corresponding data credit score profile trends to see what color I could add to this insight. Here is what I found: • Total unused bankcard limits have decreased by $750 billion from Q3 2008 to Q3 2009 • By risk segment, the largest decline in unused limits has been within the VantageScore® credit score A consumer – the super prime consumer – where unused limits have dropped by $420 billion • More than 82 percent of unused limits reside with VantageScore® credit score A and B consumers – the super-prime and prime consumer segments So what does this mean to risk management today? If you subscribe to the approach that unused limits now represent unknown vulnerability, then this exposure does not reside with traditional “risky” consumers, rather it resides with consumers usually considered to be the least risky. So this is good news, right? Well, maybe not. Vintage analysis of recent credit trends shows that vulnerability within the top score tiers might represent more risk than one would suspect. Delinquency trends for VantageScore® credit score A and B consumers within recent vintages (2006 through 2008) show deteriorating rates of delinquency from each year’s vintage to the next. Despite a shift in loan origination volumes towards this group, the performance of recent prime and super-prime originations shows deterioration and underperformance against historical patterns. If The Tower Group’s read on the market is correct, and unused credit now represents vulnerability and not opportunity, it would be wise for lenders to reconsider where and how yesterday’s opportunity has become today’s risk.  

A recent New York Times (1) article outlined the latest release of credit borrowing by the Federal Reserve, indicating that American’s borrowed less for the ninth-straight month in October. Nested within the statistics released by the Federal Reserve were metrics around reduced revolving credit demand and comments about how “Americans are borrowing less as they try to replenish depleted investments.” While this may be true, I tend to believe that macro-level statements are not fully explaining the differences between consumer experiences that influence relationship management choices in the current economic environment. To expand on this, I think a closer look at consumers at opposite ends of the credit risk spectrum tells a very interesting story. In fact, recent bank card usage and delinquency data suggests that there are at least a couple of distinct patterns within the overall trend of reducing revolving credit demand: • First, although it is true that overall revolving credit balances are decreasing, this is a macro-level trend that is not consistent with the detail we see at the consumer level. In fact, despite a reduction of open credit card accounts and overall industry balances, at the consumer-level, individual balances are up – that’s to say that although there are fewer cards out there, those that do have them are carrying higher balances. • Secondly, there are significant differences between the most and least-risky consumers when it comes to changes in balances. For instance, consumers who fall into the least-risky VantageScore® tiers, Tier A and B, show only 12 percent and 4 percent year-over-year balance increases in Q3 2009, respectively. Contrast that to the increase in average balance for VantageScore F consumers, who are the most risky, whose average balances increased more than 28 percent for the same time period. So, although the industry-level trend holds true, the challenges facing the “average” consumer in America are not average at all – they are unique and specific to each consumer and continue to illustrate the challenge in assessing consumers' credit card risk in the current credit environment. 1 http://www.nytimes.com/2009/12/08/business/economy/08econ.html