The COVID-19 pandemic and resulting rush to transition to a remote lifestyle made it clear that many businesses need a refreshed digital authentication and fraud prevention strategy that includes an investment in technology and provides consumer assurance. This is particularly important when it comes to identity, as many of the standard in-person verification methods and tools are currently unavailable. The meaning of identity is growing and shifting Technology trends are intersecting with social trends to create heightened awareness, and a whole new public conversation has emerged around customer trust and privacy. Attitudes and ideas are changing—even to the point of what we mean by “identity.” An identity is no longer just a name, date of birth, and SSN. Now, there are digital manifestations everywhere you look: screen names, email addresses, mobile phone numbers, device identifiers, and the other “exhaust” we leave behind as we travel the internet. This leads to concerns about what an identity is, who owns it, and who manages and protects it. Businesses have to be able to prove to their ability to protect their customers’ identities through investment in technology and a robust fraud strategy. Consumer attitudes are changing Several years ago, consumers were excited by all the new digital capabilities and the speed, ease, and convenience they provided. Last year, Experian found that consumers still wanted those things, with 70% willing to provide more information to businesses if there was a perceived benefit. However, they also wanted more security in the balance. In Experian’s most recent Global Identity and Fraud Report, we found that 74% of consumers say that security is the most important factor when deciding to engage with a business. Consumers are particularly more tolerant of friction during the enrollment process—as a means of building trust. But, when they return to the app or website, they want to be recognized. This means achieving a balance by using layered technologies, some of which are active and visible to the consumer, and some of which are invisibly working in the background to confirm the identity of returning consumers. Consumer attitudes vs. regulatory pressure The drivers behind the business changes are twofold: shifting consumer attitudes and regulatory changes. While regulations are becoming stricter on a national and global level, they’re not keeping pace with technology and social change. The digital world is evolving at a rapid pace, opening up more new ways for companies to collect information about consumers and use it to identify and verify, and also to target goods and services. With all of this data available, it’s important for businesses to use the tools in the market to help protect identity information. Next steps in technology The bottom line is, businesses can’t wait for regulations to dictate how best to protect information. Instead, they should be looking to technologies like physical and behavioral biometrics to help provide identity authentication and protection – layering those solutions with information from the user and from third parties to give a holistic consumer view. Businesses should adopt a platform approach for identity and fraud in order to be able to adapt quickly, whether to incorporate new kinds of technology or to prevent emerging types of fraud. By investing in technology now, even in the midst of the COVID-19 pandemic, businesses can build the flexibility needed to respond to future crises and help offset future fraud losses. In turn, those fraud-loss savings can then be used to help grow the business in the future. Learn more about Experian’s commitment to helping businesses maximize their investment in technology to safeguard against fraud. Learn more
To combat the growing threat of synthetic identity fraud, Experian recently announced the launch of Sure ProfileTM, a revolutionary change to the credit profile that gives lenders peace of mind with Experian’s commitment to share in losses that result from an identity we’ve assured. “Experian has always been a leader in combatting fraud, and with Sure Profile, we’re proud to deliver an industry-first fraud offering integrated into the credit profile that mitigates lender losses while protecting millions of consumers’ identities,” said Robert Boxberger, President of Decision Analytics, Experian North America. Synthetic identity fraud is expected to drive $48 billion in annual online payment fraud losses by 2023. Between opportunistic fraudsters and a lack of a unified definition for synthetic identity theft it can be nearly impossible to detect—and therefore prevent—this type of fraud. This breakthrough solution provides a composite history of a consumer’s identification, public record, and credit information and determines the risk of synthetic fraud associated with that consumer. It’s not just a fraud tool, it’s a comprehensive credit profile that utilizes premium data so lenders can make positive credit decisions. Sure Profile leverages the capabilities of the Experian Ascend Identity PlatformTM and uses Experian’s industry-leading data assets and data quality to drive advanced analytics that set a higher level of protection for lenders. It’s powered by newly-developed machine learning and AI models. And it offers a streamlined approach to define and detect synthetic identities early in the originations process. Most importantly, Sure Profile differentiates between real people and potentially risky applicants so lenders can increase application approvals with greater assurance and less risk. “Experian can confidently define and help detect synthetic fraud. That's why we can help stop it,” said Craig Boundy, CEO of Experian North America. “Experian stands behind our data with assurance given to our clients. It’s better for lenders and it’s better for consumers.” Sure Profile is a complement to our robust set of identity protection and fraud management capabilities, which are designed to address fraud and identity challenges including account openings, account takeovers, e-commerce fraud and more. This first-of-its kind profile is the future of underwriting and portfolio protection and it’s here now. Read press release Learn More About Sure Profile
Rays of hope are beginning to shine in the economy that suggest the U.S. may have moved beyond the most acute phase of the economic crisis. The housing sector, in particular, looks poised to regain momentum and perhaps lead the path towards stabilization in the second half of 2020. A “V-Shaped” rebound in mortgage applications Despite record levels of unemployment and widespread economic uncertainty, homebuyers have returned to the market with conviction. After shelter-in-place restrictions curtailed open-house visits and crimped buyer demand in early April, applications to purchase a home have risen for six consecutive weeks, according to the Mortgage Bankers Association. The latest data for the week of May 22nd, indicate that purchase applications were 9% higher than during the same period in 2019. If this trend continues, it will show that significant pent-up demand exists in the housing market that may be able to offset some of the lost spring buying season. April new home sales far exceed expectations After declining by 13.7% in March, new home sales rose a modest 0.6% in April. While this was only a slight gain, it was considerably above economists’ projections of a fall of 20% and may mark the turning point in the downtrend. Since the recording of new home sales data occurs when the purchase contract is signed or a deposit is accepted – and is typically for a house that hasn’t been built yet or is currently under construction – it provides a gauge of how buyers feel about their future economic prospects. Building a home also requires hiring new construction workers, buying building supplies, and supporting a host of ancillary industries, thus making it an indicator of further economic activity. Some of the increase in demand for new homes may have been driven by coronavirus quirks. The number of existing homes on the market is at record lows and many people may have been reluctant to put their home up for sale and have buyers tour as health concerns remain. Buyers, as well, may have preferred to steer clear of occupied homes or were unable to make in-person visits due to shelter-in-place restrictions. This lack of options for home buyers, coupled with record-low mortgage rates, likely drove sales of new homes higher. However, for the same reasons why new home sales rose, pending sales for existing homes fell sharply. In April, the National Association of Realtors reported that sales declined by 21.8%, which is the largest drop in ten years. Home prices continue to gain ground Even with shelter-in-place restrictions dampening buyer demand in early April, home values have continued to rise. This is because the supply of homes on the market also contracted, resulting in a simultaneous drop of demand and supply. According to Zillow Research, the total inventory of homes for sale is down roughly 20% from this time last year. With fewer competing homes on the market, sellers have been reluctant to slash prices and are betting that the lack of options and low mortgage rates will keep buyers on the hook. In April, U.S. home values rose 4.3% from the year before. The states with the strongest growth were Idaho (9.8%), Arizona (8.5%), Maine (7.6%), and Washington (7.4%). It will be interesting to see if this pattern of growth changes as newly implemented work from home policies may shift where people prefer to live and work. Why it matters The housing market has an outsized influence on the overall direction of the U.S. economy. Housing is not only is a big contributor to economic growth, but many owners have a large portion of their wealth tied up in their home. If the housing market can find its footing in the second half of 2020, then it could set the stage for an eventual economic recovery. Learn more
With many individuals finding themselves in increasingly vulnerable positions due to COVID-19, lenders must refine their policies based on their consumers’ current financial situations. Alternative Financial Services (AFS) data helps you gain a more comprehensive view of today's consumer. The COVID-19 pandemic has had far-reaching economic consequences, leading to drastic changes in consumers’ financial habits and behavior. When it comes to your consumers, are you seeing the full picture? See if you qualify for a complimentary hit rate analysis Download AFS Trends Report
The COVID-19 pandemic has created unprecedented challenges for the utilities industry. This includes the need to plan for – and be prepared to respond to – changing behaviors and a sudden uptick in collections activities. As part of our recently launched Q&A perspective series, Mark Soffietti, Experian’s Senior Manager of Analytics Consulting and Tom Hanson, Senior Energy Consultant, provided insight on how utility providers can evolve and refine their collections and recovery processes. Check out what they had to say: Q: How has COVID-19 impacted payment behavior and debt collections? TH: Consumer payment behavior is changing. For example, those who paid as agreed, may not currently have the means to pay and are now distressed borrowers. Or those who were sloppy payers before the pandemic may now be defaulting on a more consistent basis. MS: As we saw with the last recession when faced with economic stress, consumer and commercial payment behavior changes based on their needs and current cash flow. For example, people prioritize their car, as they need it to get to and from work, so they’ll likely pay their auto bills on time. The same goes for their credit cards, which they need to make ends meet. We expect this will also be true with COVID-19. The commercial segment will face more dramatic and challenging circumstances, where complete or partial business closures and lack of federal relief could have severe ramifications. Q: What new restrictions have been put in place surrounding debt collection efforts and outbound calls? TH: To protect consumers who may be experiencing financial distress, most states have imposed new, stringent restrictions to prevent utilities from engaging in certain collections activities. Utilities are currently not charging any late payment fees and are instead structuring payment plans. Additionally, all outbound collections efforts have been suspended and there is fieldwork being executed of services for both commercial and consumer properties. As of now, consumer and commercial fieldwork will likely not commence until after the first year or when the winter moratorium concludes. MS: The new restrictions imposed upon collections activities will likely drive consumer payment behavior. If consumers know that their utilities (i.e. energy and water) will not be shut off if they miss a payment, they will make these bills less of a priority. This will dramatically increase the amount owed when these restrictions are lifted next year. Q: Can we predict how the utilities industry will fare post-COVID-19? TH: The volume of accounts in collections and eligible for disconnect will be overwhelming. Many utility providers fear the unpaid balances consumers and commercial entities accumulate will be nearly impossible to fit into a repayment schedule. Both analyzing internal payment segments and overlaying external factors may be the best way to optimize the most critical go-forward plan. MS: The amount of people who fall into collections is going to greatly increase and utility providers need to start planning for it now to weather the storm. They will need to use data, analytics and tools to help them optimize their tasks, so they can be more efficient with their resources. Like many other industries, the utilities sector will look to increasing digitalization of their processes and having less social interaction where possible. This could mean the need and drive for expediting current smart meter programs where possible to enable remote fieldwork to assist in managing this unprecedented level of activity that is sure to overwhelm field operations (where allowed by state regulators). Q: What should utility providers be doing to plan for an uptick in collections activities post-COVID-19? TH: With regulatory mandated suspensions of collections activities for utility providers and self-selected reductions due to stay at home orders and staff protection, the backlog of payments, calls and inquiries once business resumes as normal is set to overwhelm existing capacity. More than ever, self-service options (text/web), Q&A and alternative communication methods will be needed to shepherd consumers through the collections process and minimize the strain on call center agents. Many utility providers are asking for external data points to segment their consumers by industry or by those whose employment would have been adversely impacted by COVID-19. MS: Utility providers should be monitoring consumer data in order to prepare for when they are able to collect. This will help them strategize the number of resources they will need in their call centers and out in the field performing shut off activities. Given that the rise in cases will be more volume than their call centers can handle, they will need to use their resources wisely and plan to use them efficiently when they are able to resume collections. Q: How can Experian help utility providers reduce collections costs and maximize recovery? TH: Experian can help revise collections tactics and segmentation strategies by providing insight on how consumers are paying other creditors and identifying new segmentation opportunities as we emerge from the freeze on collections activities. Collections cases will be complex, and many factors and constraints will need to balanced against changing goals, making optimization key. MS: Utilizing Experian’s credit data and models can help ensure that resources are being used efficiently (i.e. making successful calls). There is also a need to leverage ability to pay models as well as prioritization models. By using these models and tools, utility providers can optimize their treatment strategies, reduce costs and maximize dollars collected. Learn more About our Experts: Tom Hanson, Senior Energy Consultant, Experian CEM, North America Tom is a Senior Consultant within the Energy Vertical at Experian, supporting regulated energy companies throughout the U.S. He brings over 25 years of experience in the energy field and supports his clients throughout the customer lifecycle, providing expertise in ID verification, account treatment, fraud solutions, analytics, consulting and final bill/field optimization strategies and techniques. Mark Soffietti, Analytics Consulting Senior Manager, Experian Decision Analytics, North America Mark has over 15 years of experience transforming data into actionable knowledge for effective decision management. Mark’s expertise includes solution development for consumer and commercial lending across the credit spectrum – from marketing to collections.
The largest industry disruptor was a surprise to everyone. Where bets may have been placed on digital transformation, automated decisioning, or better omnichannel programs, no one foresaw the global pandemic of COVID-19 and the corresponding economic fall out that ensued. As financial institutions have spent the past two months scattered and then regrouping, whether with pivoted downturn contingency strategies or with a business-focused Hail Mary, some might argue that the dust is beginning to settle. While the world and the majority of businesses are working to manage and stabilize a new normal against a background of some form of chaos, once federal and state regulations are loosened, the world – and financial institutions in particular – will need a plan forward. So, what comes after COVID-19? With stimulus checks and what everyone hopes will soon be a re-stimulating of the economy, consumers will seek credit. And when that influx comes, there will be a need to strategize what is the right offer for the right consumer. How do you take on more customers while minimizing risk? Non-existent and/or shrinking budgets Many marketing budgets were already small prior to the global pandemic, so coming out of it, to say every marketing dollar counts is an understatement. Traditional prescreen, while a pillar in acquisition operations, is an antiquated strategy. Using hyper-segmentation via a true end-to-end marketing service, pumped up by the right data for decision making, enables financial institutions to not only build the right audience but tailor quality experiences that increase engagement and loyalty. That means ultimately reducing operating costs while improving experiences and take rates. Work from home turned life from home Going virtual has gone viral. Seemingly overnight, most brick and mortar operations went online. Some versions of digital transformation became a need to have, versus a nice to have, and the gap between the financial institutions who were equipped to pivot online, versus those who were not, spread further. As the vast majority of consumers are at home – whether by way of work from home or furlough – our society has quickly embraced everything being online. Reach your consumers where they are, in the digital-first channels to which they have become familiar with and accustomed. As consumers are at the center of every marketing strategy, engaging omnichannel delivery enhances reach across critical touchpoints. Inclusive of social media, email, direct mail, TV, and more, the campaign should provide a seamless experience, all working together in a synchronized fashion. Consistency has always been key, but especially during these volatile times, to reflect stability, empathy and constant messaging is an undertone that can only help strengthen consumers’ view of your organization. Learn fast, grow faster For marketing financial products, it’s a matter of connecting the dots between consumer touchpoints and results data. By making these critical connections, financial institutions will be better positioned to identify the most effective elements in the campaign. By gleaning more insights from campaign performance, organizations can optimize future campaigns and minimize wasted ad spend. These key learnings, delivered at the end of every campaign cycle, help your organization to remain nimble, pivot quickly and execute campaigns that get increasingly better ROI as you hone in on the nuances revealed by data on consumer behavior, preferences, motivations and more. Changing times and even faster-changing needs There’s always been a need for faster decisioning and more results with increasingly fewer resources. The need for speed has been put on hyperdrive as the economy has entered the current environment. How do you keep up with the changing needs of your consumers? Get your marketing right from the start and see results through to the end. Incorporating the right data, advanced analytics and constant access ultimately enable more strategic focus and shorter campaign cycles. As we all navigate the ever-changing “normal,” offering the right support to your consumers is the right thing to do for them and for you. Managing rising consumer needs, while also minimizing risk to your bottom line, is also the right thing to do for your business. Once plans move from managing business operations through the crisis to moving forward, make sure your marketing – how you are reaching out to existing customers and prospective customers for the next steps in their financial journey – is data-driven. To learn more about how Experian can help you execute data-driven marketing that fuels customer acquisition, visit our website. Learn More
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While an overdue economic downturn has been long discussed, arguably no one could have foreseen the economic disruption from COVID-19 to the extent that’s been witnessed thus far. But now that we’re here, is there a line of sight to financial institutions’ next move? With the current situation marked by a history-making rise in unemployment, massive amounts of uncertainty within the market as well as for consumers and small businesses and consumer spending changes, loss forecasting is more important now than ever before. After the longest period of economic growth in history, financial institutions are caught off guard. While large banks are more prepared as they have stress testing capabilities in place and are estimating the potential large impact on their loss allowances, the since-delayed CECL requirements emphasized forecasting for the masses, and yet many are still under-equipped. Loss forecasting has evolved from a need for a small few to now a necessary strategy for all. While some financial institutions will look to loss forecasting to potentially reduce the severity of impact for the path ahead during these times (or even how they might come out stronger than their competition), for many, loss forecasting is the key to survival. Bare necessities. Understanding the possible outcomes of the pandemic’s impact is necessary to make critical business decisions. Lenders are likely receiving numerous questions about their portfolios and possible outcomes. These questions include, but are not limited to: What could the range of outcomes to my portfolio based on expert forecasts of macroeconomic conditions? How will I make lending decisions in the short term? Do my models need to change? How bad could charge offs be for my portfolio? If I have reduced marketing and application flows, at what point do I need to begin opening new accounts or consider portfolio acquisitions? How can lenders get answers? Loss forecasting. As Mohammed Chaudhri, Experian Chief Economist, said, “Loss forecasting is more pivotal than ever…existing models are not going to be up to the task of accurately predicting losses.” Whatever questions you’re receiving, you need certain necessary pieces of information to navigate this new era of loss forecasting. Those pieces are frequently updated client and industry data; ongoing access to expert macroeconomic forecasts; and sophisticated and evolved forecasting models. Client and Industry Data Loan-level data, bankruptcy scores and customer-level attributes are key insights to fueling loss forecasting models. By combining several data sets and scores (and a comprehensive history of both) your organization can see greater benefits. Macroeconomic Forecasts As has been mentioned numerous times, the economic impact resulting from COVID-19 is not at all like the Great Recession. As such, leveraging macroeconomic forecasts, and specifically COVID-19 forecasts, is critical to analyzing the potential impacts to your organization. Sophisticated Models Whether building models on your own or leveraging an expert, the key ingredients include the innerworkings of the model, leveraging historical data and making sure that both the models and the data are updated regularly to ensure you have the most accurate, thorough forecasts available. Also, leveraging machine learning tools is imperative for model specification and evaluation. Fortunately, while model building and loss forecasting used to be synonymous with countless resources and dollar signs, innovation and digital transformation have made these strategies within reach for financial institutions of all sizes. Incorporating the right data (and ensuring that data is regularly updated), with the right tools and macroeconomic scenarios (including COVID-19, upside, baseline, adverse and severely adverse scenarios) enables you to get a line of sight into the actions you need to take now. Empowered with insights to compare and benchmark results, discover the cause of changes in results, explore result scenarios in advance, and access recommended optimizations, loss forecasting enables you to focus on the critical decisions your business depends on. Experian helps you with loss forecasting for now and the future. For more information, including an on-demand webinar Experian presented with Oliver Wyman as well as the opportunity to engage Experian experts into your loss forecasting strategy, please click the button below. Learn More
This is the third in a series of blog posts highlighting optimization, artificial intelligence, predictive analytics, and decisioning for lending operations in times of extreme uncertainty. The first post dealt with optimization under uncertainty and the second with predicting consumer payment behavior. In this post I will discuss how well credit scores will work for consumer lenders during and after the COVID-19 crisis and offer some recommendations for what lenders can be doing to measure and manage that model risk in a time like this. Perhaps no analytics innovation has created opportunity for more individuals than the credit score has. The first commercially available credit score was developed by MDS (now part of Experian) in 1987. Soon afterwards FICO® popularized the use of scores that evaluate the risk that a consumer would default on a loan. Prior to that, lending decisions were made by loan officers largely on the basis on their personal familiarity with credit applicants. Using data and analytics to assess risk not only created economic opportunity for millions of borrowers, but it also greatly improved the financial soundness of lending institutions worldwide. Predictive models such as credit scores have become the most critical tools for consumer lending businesses. They determine, among other things, who gets a loan and at what price and how an account such as a credit line is managed through its life cycle. Predictive models are in many cases critical for calculating loan and loss reserves, for stress testing, and for complying with accounting standards. Nearly all lenders rely on generic scores such as the FICO® score and VantageScore® credit score. Most larger companies also have a portfolio of custom scorecards that better predict particular aspects of payment behavior for the customers of interest. So how well are these scorecards likely to perform during and after the current pandemic? The models need to predict consumer credit risk even as: Nearly all consumers change their behaviors in response to the health crisis, Millions of people—in America and internationally—find their income suddenly reduced, and Consumers receive large numbers of accommodations from creditors, who have in turn temporarily changed some of their credit reporting practices in response to guidelines in the federal CARES Act. In an earlier post, I pointed out that there is good reason to believe that credit scores will tend to continue to rank order consumers from most likely to least likely to repay their debts even as we move from the longest economic expansion in history to a period of unforeseen and unexpected challenges. But the interpretation of the score (for example, the log odds or the bad rate) may need to be adjusted. Furthermore, that assumes that the model was working well on a lender’s population before this crisis started. If it has been a long time since a scorecard was validated, that assumption needs to be questioned. Because experts are considering several different scenarios regarding both the immediate and long-term economic impacts of COVID-19, it’s important to have a plan for ongoing monitoring as long as necessary. Some lenders have strong Model Risk Management (MRM) teams complying with requirements from the Federal Reserve, Federal Deposit Insurance Corporation (FDIC), the Office of the Comptroller of the Currency (OCC). Those resources are now stretched thin. Other institutions, with fewer resources for MRM, are now discovering gaps in their model inventories as they implement operational changes. In either case, now’s the time to reassess how well scorecards are working. Good model validation practices are especially critical now if lenders are to continue to make the sound data-driven decisions that promote fairness for consumers and financial soundness for the institution. If you’re a credit risk manager responsible for the generic or custom models driving your lending, servicing, or capital allocation policies, there are several things you can do--starting now--to be sure that your organization can continue to make fair and sound lending decisions throughout this volatile period: Assess your model inventory. Do you have good documentation showing when each of the models in your organization was built? When was it last validated? Assign a level of criticality to each model in use. Starting with your most critical models, perform a baseline validation to determine how the model was performing prior to the global health crisis. It may be prudent to conduct not only your routine validation (verifying that the model was continuing to perform at the beginning of the period) but also a baseline validation with a shortened performance window (such as 6-12 months). That baseline validation will be useful if the downturn becomes a protracted one—in which case your scorecard models should be validated more frequently than usual. A shorter outcome window will allow a timelier assessment of the relationship between the score and the bad rate—which will help you update your lending and servicing policies to prevent losses. Determine if any of your scorecards had deteriorated even before the global pandemic. Consider recalibrating or rebuilding those scorecards. (Use metrics such as the Population Stability Index, the K-S statistic and the Gini Coefficient to help with that decision.) Many lenders chose not to prioritize rebuilding their behavioral scorecards for account management or collections during the longest period of economic growth in memory. Those models may soon be among the most critical models in your organization as you work to maintain the trust of your accountholders while also maintaining your institution’s financial soundness. Once the CARES accommodation period has expired, it will be important to revalidate your models more frequently than in the past—for as long as it takes until consumer behavior normalizes and the economy finds its footing. When you find it appropriate to rebuild a scorecard model, consider whether now is the time to implement ethical and explainable AI. Some of our clients are finding that Machine Learned models are more predictive than traditional scorecards. Early Experian research using data from the last recession indicates this will continue to be true for the foreseeable future. Furthermore, Experian has invested in Research and Development to help these clients deliver FCRA-compliant Adverse Action reasons to their consumers and to make the models explainable and transparent for model risk governance and compliance purposes. The sudden economic volatility that has resulted from this global health crisis has been a shock to all organizations. It is important for lenders to take the pulse of their predictive models now and throughout the downturn. They are especially critical tools for making sound data-driven business decisions until the economy is less volatile. Experian is committed to helping your organization during times of uncertainty. For more resources, visit our Look Ahead 2020 Hub. Learn more
The economic impact of the COVID-19 health crisis is ever-evolving and requires great flexibility and planning from lenders. Shannon Lois, Experian’s Senior Vice President, Analytics, Consulting and Operations, discusses what lenders can expect and next steps to take. Q: Though COVID-19 is catalyzing a sharp economic slowdown, many experts expect it to be temporary and liken it more to a global natural disaster than the prior financial crisis. What are your reactions? SL: There is still debate as to whether we will have a U-shaped or a V-shaped recession and its probable severity and longevity. Regardless, we are in a recession caused by a health pandemic with uncertainty of what it will mean for our global economy and without a clear view as to when it will end. The sooner we can contain the virus the more it will help to curtail the size of the recession. The unemployment rates and the consumer lack of confidence in the future will continue to contract spending which in turn will continue to propagate the recession. Our ability to limit COVID-19 over the coming months will have a direct impact in the economy, although the effects will probably linger on for six or more months. Q: From an economic perspective, what are the current trends we’re seeing? SL: Unemployment has skyrocketed and every business sector has been impacted although with different degrees of severity. In particular, tourism/hospitality, airlines, automotive, consumer products and retail have suffered. Consumers’ financial status varies and will continue to fluctuate, and credit conditions tighten while welfare payments increase. The government programs that have started will help, but they’re not enough to counter a prolonged recession. As some states seek to reopen and others extend their shelter in place orders, we will continue to see economic changes, with different sectors bouncing back or dipping further depending on their geographic location. Q: How does the economic slowdown compare to what we may have expected previously? SL: This recession is different than anything we have encountered previously not only because of the health concerns and implication of our population but because of the uncertainty of it all. As an example, social distancing has significantly and immediately impacted consumer demand but overall it is their low confidence in the future that will cause a continuous drop in discretionary and non-discretionary spending. Not only do we have challenges on the demand side, we also are seeing the same on the supply side with no automotive manufacturing occurring in the USA, and international oil flooding the market causing negative impact on domestic oil and the broad energy market. Q: How do the unemployment and liquidity challenges come into play? SL: The unemployment rate has already jumped to a record high. Most consumers are facing liquidity and affordability challenges and businesses do not have enough cash reserves to sustain them. Consumer activity has shifted drastically across all channels while lenders are exercising more caution. If this is a V-shaped recession (and hopefully it will be), then most activity is bound to spring back quickly in Q3. With companies safeguarding some jobs and the help of governments’ supplemental programs, businesses will restore supply and consumer demand will get a kick start. Q: What is the smartest next play for financial institutions? SL: The path forward requires several steps. First, understand your customers, existing and new. Refine your policies with the right information around your customers’ financial situations and extend programs (forbearance and loan payment forgiveness) as needed under the right guidelines. It’s also important to use refreshed data to lend to consumers and businesses who need it now more than ever, with the proper policies and fraud checks in place. Finally, increase your agility to operate effectively and dynamically with automation, interactive communication and self-serving digital tools. Experian is committed to helping lenders throughout these uncertain times. For more resources, visit our Look Ahead 2020 Resource Hub. Learn more About Our Expert Shannon Lois, Senior Vice President, Analytics, Consulting and Operations, Decision Analytics Shannon and her team of analysts, scientists, credit, fraud and marketing risk management experts provide results-driven consulting services and state-of-the-art advanced analytics, science and data products to clients in a wide range of businesses, including banking, auto, credit, utility, marketing and finance. Prior to her current role, she founded the Advisory Services practice at Experian, driving to actionable and proven solutions for our clients’ most pressing business problems.
With jobs losses mounting and the prospects for a quick economic rebound fading, some segments of the financial markets are beginning to bet that the Federal Reserve will take interest rates negative for the first time in U.S. history. If that happens, it could have a profound impact on the U.S. economy, and more specifically, on financial institutions. While other nations such as Denmark, Japan, Sweden, and Switzerland have experimented with negative rates over the years, the U.S. has shied away – both for political and economic reasons. Instead, when interest rates are near zero, the Fed prefers to use a mix of large-scale asset purchases and forward guidance to support the economy. In the current crisis, the Fed has also launched several new emergency lending programs to ensure the smooth functioning of the financial system. The question remains, however, if these tools will be enough to keep the U.S. out of a deep recession, especially if Congress fatigues on further fiscal support. The Fed is independent but keep an eye on the markets In his May 13th remarks to the Peterson Institute for International Economics, Fed Chairman Jerome Powell said that he and the rest of the rate-setting committee unanimously shared the same view on negative rates: “For now, it is not something we are considering”. While some market watchers looked for clues in the “for now” phrasing, it was clear from the rest of his remarks that the bar for enacting negative rates was set very, very high. However, despite the Fed having independence in its policy-making decisions, financial markets and to some extent, politics, still have influence. And there is precedent for markets exerting pressure on the Fed and perhaps even getting their way. In 2013, when then-Fed Chairman Ben Bernanke made a surprise announcement that the Fed would reduce the level of asset purchases, global financial markets went into a frenzy. That period, now known as the “Taper Tantrum”, altered the way the Fed signals its policy actions. More recently, the big declines in equity markets in late 2018 were seen by many as a primary driver in the Fed’s sudden U-turn from raising rates four times that year to lowering them three times in 2019. Now, with equity markets wanting more stimulus and traders in fed fund futures appearing to anticipate negative rates from the central bank in early 2021, there is concern that the markets are trying to bully their way again. And with the president’s renewed call for the Fed to take rates negative, there is some reason to believe that “not now” could become “now” sooner than many expect. Concerns for financial institutions While several central banks have resorted to negative interest rate policy for years, the efficacy of its use is unclear. But what is clear, is that financial institutions bear the greatest burden in implementing the policy. Currently in the U.S., banks earn interest on excess reserves held at the Fed. Negative rates would essentially flip the script and penalize this practice, forcing banks either to pay the Fed interest or do something else with the money. The hope is that this will encourage banks to make more loans and stimulate the economy. However, as Fed Chair Powell said in his remarks, he believes that negative rates could have the opposite effect and curtail lending. Since negative rates would put a downward pressure on interest rates across the board, the net interest margin – the spread banks make between what they pay depositors and what they charge for loans – would be compressed and profitability would sink. If banks and other financial institutions are struggling, credit availability could decline when it is needed the most. Why it matters Financial institutions cannot ignore the possibility of negative interest rates in the U.S. as it would have wide-ranging effects and potentially significant consequences. And while Fed officials have said they are not considering negative rates, the notion is not totally off the table. As the famous economist, Stanley Fischer, advised his fellow central bankers in his well-known piece “Central Bank Lessons from the Global Crisis”: “In a crisis, central bankers (and no doubt other policymakers) will often find themselves deciding to implement policy actions that they never thought they would have to undertake – and these are frequently policy actions that they would prefer not to have to undertake. Hence, a few final words of advice for central bankers: Never say never.”
The current pandemic will affect the way financial institutions lend and provide credit. Shawn Rife, Experian’s Director of Product Scoring, discusses the ways that financial institutions can navigate the COVID-19 crisis. Check out what he had to say: What implications does the global pandemic have on financial institutions’ analytical needs? SR: In the customer lifecycle, there are 4 different stages: prospecting, acquisitions, portfolio management, and collections. During times of economic uncertainty, lenders typically take additional actions to ensure that there’s a first line of defense against delinquencies and payment stress. Expanding their focus to incorporate account review/portfolio management becomes particularly important. During this time, clients will be looking for leadership, early warning signs, and ways to recession-proof their portfolios (account management), while growing and maintaining their approvals in a healthy way (originations). Lenders may be well advised to delay any focus on collections, since many consumers may be facing major payment stress through no mismanagement of their own doing. Another critical component is with the rollout of government stimulus packages, which lenders can use to identify people in stress who could benefit for second chance opportunities they may not have otherwise been able to receive. As more consumers seek credit, from an analytics perspective, what considerations should financial institutions be making during this time? SR: Financial institutions should be assessing and pre-identifying situations that might place consumers in positions of elevated financial stress. That way, organizations can implement solutions to identify and help at-risk consumers before they fall delinquent. The recent Coronavirus Aid, Relief, and Economic Security Act (CARES Act) – coupled with Experian’s score treatment, are designed to protect consumers against score declines during times of crisis. Furthermore, lenders can provide forbearance and loan deferment programs to help consumers. For lenders, credit risk scores, models, and attributes are the best ways to identify – and even predict - delinquency risk. The FICO® Resilience Index can also identify consumers who are particularly susceptible to delinquency risk directly due to macroeconomic uncertainty. This gives lenders the opportunity to evaluate their portfolios for loss and connect with consumers who may be in need of further support. What is the smartest next play for financial institutions? SR: For financial institutions, the smart play is to add alternative data into their data-driven decisioning strategies as much as possible. Alternative data works to enhance your ability to see a consumer’s entire credit portfolio, which gives lenders the confidence to continue to lend – as well as the ability to track and monitor a consumer’s historical performance (which is a good indicator of whether or not a consumer has both the intention and ability to repay a loan). How will the new attribute subset list benefit financial institutions during this time? SR: Experian’s series of crisis attributes is an example of attributes that can be predictive in times of a crisis. These lists were designed to follow the 3 E’s – Expand, Enhance, and provide Ease of use. Enhance – With these attributes, lenders aren’t limited to traditional data. These attributes allow lenders to look at the entirety of a consumer’s credit or repayment behavior and use more data to make better lending decisions. This becomes crucial in a challenging environment. Expand – This data can also help lenders identify consumers who are in the market for products and services, even if there the lending criteria becomes more stringent. This can open doors and new opportunities for 40-50 million new customers, particularly ones that may not fit initial lending criteria. Ease of Use – Experian has put together the most predictive elements that can identify consumer resilience and potential financial stress in this challenging economy. Experian is committed to helping your organization during times of uncertainty. For more resources, visit our Look Ahead 2020 Hub. Learn more Shawn M. Rife, Director of Risk Scoring, Experian Consumer Information Services, North America Shawn Rife manages Experian’s credit risk scoring models, focused on empowering clients to maximize the scope and influence of their lending universe - while minimizing risk - and complying with ever-changing regulatory standards. Shawn also leads the implementation of Alternative Data within the lending environment, as well as key product implementation initiatives. Prior to Experian, Shawn held key consumer insights and predictive analytics roles for Consumer Packaged Goods and internet companies. Over his career, Shawn has focused on market segmentation, competitive research, new product development and consumer advocacy. He also holds a Master’s degree from Harvard University and a Bachelor’s degree in Political Science and Economics.
When running a credit report on a new applicant, you must ensure Fair Credit Reporting Act (FCRA) compliance before accessing, using and sharing the collected data. The Coronavirus Aid, Relief, and Economic Security (CARES) Act has impacted credit reporting under the FCRA, as has new guidance from the Consumer Financial Protection Bureau (CFPB). Recent updates include: The CARES Act amended the FCRA to require furnishers who agree to an “accommodation,”1 to report the account as current, although it is permitted to continue to report the account as delinquent if the account was delinquent before the accommodation was made. Although not legally obligated, data furnishers should continue furnishing information to the credit reporting agencies (CRAs) during the COVID-19 crisis, and make sure that information reported is complete and accurate. Below is a brief FCRA-related compliance overview2 covering various FCRA requirements3 when requesting and using consumer credit reports for an extension of credit permissible purpose. For more information regarding your responsibilities under the FCRA as a user of consumer reports, please consult your Legal Counsel and the Notice to Users of Consumer Reports: Obligations of Users Under the FCRA handbook located on our website. Before obtaining a consumer report you have… Reviewed your federal and state regulations and laws related to consumer reports, scores, decisions, etc. Made sure you have a valid permissible purpose for pulling the consumer report. Certified compliance to the CRA from which you are getting the consumer report. You have certified that you complied with all the federal and state requirements. After you take an adverse action based on a consumer report you… Provide the consumer with an oral, written or electronic notice of the adverse action. Provide written or electronic disclosure of the numerical credit score used to take the adverse action, or when providing a “risk-based pricing” notice. Provide the consumer with an oral, written or electronic notice, which includes the below information: Name, address and telephone number of CRA that supplied the report, if nationwide. A statement that the CRA did not make the adverse decision and therefore can’t explain why the decision was made. Notice of the consumer’s right to a free copy of their report from the CRA, if requested within 60 days. Notice of the consumer’s right to dispute with the CRA the accuracy or completeness of any information in a consumer report provided by the CRA. Provide the consumer with a “risk-based pricing” notice if credit was granted but on less favorable terms based on information in their consumer report. We understand how challenging it is to understand and meet all your obligations as a data furnisher – we’re here to make it a little easier. Click below to speak with a representative and gain more insight on how the CARES Act impacts FCRA reporting. Download overview Speak with a representative 1An “accommodation” is defined as “an agreement to defer one or more payments, make a partial payment, forbear any delinquent amounts, modify a loan or contract, or any other assistance or relief” granted to a consumer affected by COVID-19 during the covered period. 2This FCRA overview is not legal guidance and does not enumerate all your requirements under the FCRA as a user of consumer reports. Additionally, this FCRA Overview is not intended to provide legal advice or counsel you regarding your obligations under the FCRA or any other federal or state law or regulation. Should you have any questions about your institution’s specific obligations under the FCRA or any other federal or state law or regulation, you should consult with your Legal Counsel. 3This FCRA overview is intended to be used solely by financial service providers when extending credit to consumers and does not include all FCRA regulatory obligations. You are responsible for regulatory compliance when requesting and using consumer reports, which includes adhering to all applicable federal and state statutes and regulations and ensuring that you have the correct policies and procedures in place.
There is no doubt that there will be many headlines published about the latest Bureau of Labor Statistics (BLS) jobs report. The official unemployment rate spiked to 14.7%, the highest level since the Great Depression, and employers shed an unprecedented 20.5 million jobs. However, given the scale and pace that businesses around the country are adjusting their workforces, these headline numbers – especially the official unemployment rate – fall short in capturing the nuances and internal dynamics of the crisis. To get a better picture of labor market health in the coming months, there are three other components reported in BLS’s employment release that require close attention: the underemployment rate, the labor force participation rate, and the employment-population ratio. Tracking underemployment The BLS reports six unemployment figures in its monthly employment release, U1 – U6. The most cited is the “official” unemployment rate, which is U3. However, in the current crisis, the more salient measure of unemployment is U6, which is often known as the “underemployment” rate. This is because the underemployment (U6) rate takes the unemployed and adds on part-time workers who want a full-time job (BLS calls this segment “part time for economic reasons”), plus marginally attached and discouraged workers (those who don’t think they can find work). Viewing the employment landscape through this lens provides greater insight into the pain points within the labor market. In April, the underemployment rose from 8.7% to 22.8% - the largest jump on record. A large contributor to the rise was a doubling of the number of part-time workers that wanted a full-time job. Mirroring what happened in previous downturns, the rise in this segment was caused by employers downshifting workers into part-time roles. The official unemployment rate will miss this insight as it classifies everyone who is working as “employed”, regardless if they worked one hour or 100 hours. Trends in the underemployment rate will be especially important to watch as the recovery gets underway. If employers are doubtful of a strong rebound, they may keep employees on as part time and forgo filling any full-time positions. Who’s in and who’s out of the labor force The labor force participation rate is the percentage of the working-age population (aged 16+) that is employed or searching for a job. A decline in the labor force participation rate means that people are leaving the workforce and are no longer looking for employment. April’s employment report showed labor force participation declining from 62.7% to 60.2%. Teenage participation was especially hard hit, dropping from 35.5% to 30.8% - the lowest level since the government started collecting the data in 1948. During the recovery phase, tracking what happens with labor force participation will provide insight into how potential workers perceive their chances of landing a job and if it is safe to return. A healthy (or improving) labor market will bring people off the sidelines in search of work, while a weak labor market will do the opposite. Get a clearer view with the employment-population ratio In the current environment where people are bouncing rapidly between employed, unemployed, underemployed, and out of the labor force, tracking the employment-population ratio provides a more stable baseline to view the economic environment. The latest data shows that the employment-population ratio dropped to the lowest level on record of 51.3% in April. This means that only half of people who are of working age in the U.S. are currently employed in some form. Unlike the unemployment rate, which is calculated by dividing the number of unemployed workers by the labor force and thus subject to more variation as people start and stop looking for work, the employment to population ratio is the percentage of the total working-age population that is currently employed. By having a more stable baseline, it is easier to locate trends and see through the market gyrations. And finally, why it matters The labor market is the backbone of the economy and is the engine that powers the US consumer. But the ongoing crisis and rapid reallocation of the workforce has made it difficult to get a clear picture on what is happening at the ground level. By going beyond the headlines, businesses and financial institutions can glean nuanced insights that provide a better view of where the opportunities lie and how the recovery is likely to unfold. Learn more
This week, Experian released a new version of our CrossCore® digital identity and fraud risk platform, adding new tools and functionality to help businesses quickly respond to today’s emerging fraud threats. The ability to confidently recognize your customers and safeguard their digital transactions is becoming an increasing challenge for businesses. Fraud threats are already rising across the globe as fraudsters take advantage of the global health crisis and rapidly shifting economic conditions. CrossCore combines risk-based authentication, identity proofing and fraud detection into a single cloud platform, which means businesses can more quickly respond to an ever-changing environment. And with flexible decisioning orchestration and advanced analytics, businesses can make real-time risk decisions throughout the customer lifecycle. “Now more than ever, businesses need to lean on capabilities and technology that will allow them to rapidly respond in these challenging times, increase identity confidence in every transaction, and provide a safe and convenient experience for customers,” said E.K. Koh, Experian’s Senior Vice President of Global Identity & Fraud Solutions in a recent press release. “This new CrossCore release enables businesses to easily leverage best-in-class, pre-integrated identity and fraud services through simple self-service.” This new version of CrossCore features a cloud architecture, modern user interface, progressive risk assessments, faster response times, self-service workflow configuration, and a transactional volume reporting dashboard. These enhancements give you a simpler way to manage how backing applications are utilized, allow you to analyze key performance indicators in near real-time, and empower you to catch more fraud faster - without impacting the customer experience. “Recent Aite Group research shows that many banks have seen digital channel usage increase 250% in the wake of the pandemic, so ensuring a seamless and safe customer experience is more important than ever,” said Julie Conroy, Research Director at Aite Group. “Platforms such as CrossCore that can enable businesses to nimbly respond to changing patterns of customer behavior as well as rapidly evolving attack tactics are more important than ever, as financial services firms work to balance fraud mitigation with the customer experience.” CrossCore is the first identity and fraud platform that enables you to connect, access, and orchestrate decisions across multiple solutions. With the newest version, Experian enhances your ability to consolidate numerous fraud risk signals into a single, holistic assessment to improve operational processes, stay ahead of fraudsters, and protect your customers. Read Press Release Learn More About CrossCore