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Let’s play word association. When I say holiday season, what’s the first thing that comes to mind? Childhood memories. Connecting with family. A special dish mom used to make. Or perhaps it’s budgeting, debt and credit card spend. The holidays can be a stressful time of year for consumers, and also an important time for lenders to anticipate the aftermath of big credit card spend. According to a recent study by Experian and Edelman Intelligence: 48 percent of respondents felt thoughtful when thinking about the season 30 percent felt stressed 24 percent felt overwhelmed. Positive emotions are up across the board this year, which may be a good sign for retailers and bankcard lenders. And if emotion is an indicator of spending, 2016 is looking good. But while the holly-jolly sentiment is high, 56 percent of consumers say holiday shopping puts a strain on their finances. And, 43 percent of respondents said the stress of holiday shopping makes it difficult to enjoy the season. Regardless of stress, consumers are seeking ways to spend. Nearly half of respondents plan to use a major credit card to finance at least a portion of their holiday spending, second only to cash. With 44 percent of consumers saying they feel obligated to spend more than they can afford, it’s easy to see why credit cards are so important this time of year. Bankcard originations have fully rebounded from the recession, exceeding $104 billion in the third quarter of 2016, the highest level since the fourth quarter of 2007. While originations have rebounded, delinquency rates have remained at historic lows. The availability of credit is giving consumers more purchasing power to fund their holiday spending. But what happens next? As it turns out, many consumers resolve to consolidate all that holiday debt in the new year. Experian research shows that balance transfer activity reaches annual highs during the first quarter as consumers seek to simplify repayment and take advantage of lower interest rates. Proactive lenders can take advantage of this activity by making timely offers to consumers in need. At the same time, reactive lenders may feel the pain as balances transfer out of their portfolio. By identifying consumers who are most likely to engage in a card-to-card balance transfers, lenders can anticipate these consumer bankcard trends. The insights can then be used to acquire new customers and balances through prescreen campaigns, while protecting existing balances before they transfer out of an existing lender portfolio. With Black Friday and Cyber Monday behind us, the card balances are likely already rising. Now is the time for lenders to prepare for the January and February consolidations. Those hefty credit card statements are coming soon.

Happy holidays! It’s the holiday season and a festive time of year. Colorful lights, comfort food and holiday songs – all of these things contribute to the celebratory atmosphere which causes many people to let their guards down and many businesses to focus more on service than on risk. Unfortunately, fraudsters and other criminals can make one of the busiest shopping times of the year, a miserable one for their victims. The nature of the stolen data has the potential to create long-term headaches for the organization and tens of millions of individuals. Unlike a retailer or financial breach, where stolen payment cards can be deactivated and new ones issued, the theft of permanent identity information is, well, not easily corrected. You can’t simply reissue Social Security numbers, birth dates, names and addresses. For individuals, we need to internalize this fact: our data has likely been breached, and we need to become vigilant and defend ourselves. Sign-up for a credit monitoring service to be alerted if your data or ID is being used in ways that indicate fraud. Include your children, as well. A child’s identity is far more valuable to a fraudster as they know it can be several years before their stolen identity is detected. The good news is, in addition to the credit bureau, many banks and auto clubs now offer this as a service to their customers. For organizations, the focus should be on two fronts: data protection and fraud prevention. Not just to prevent financial theft, but to preserve trust — trust between organizations and consumers, as well as widespread consumer trust.  Organizations must strive to evolve data protection controls and fraud prevention skills to minimize the damage caused by stolen identity data. There are dozens of tools in the industry for identifying that a consumer is who they say they are – and these products are an important part of any anti-fraud strategy.  These options may tell you that the combination of elements is the consumer, but do you know that it is the REAL consumer presenting them? The smart solution is to use a broad data set for not only identity verification, but also to check linkage and velocity of use.  For example: Is the name linking to other addresses being presented in the past week? Is the phone number showing up to other addresses and names over the past 30 days? Has the SSN matched to other names over the past 90 days? Since yesterday the address matches to four phone numbers and two names – is this a problem? And it must be done in ways that reinforce the trust between consumers and organizations, enhance the customer experience, and frustrate criminals.  Click here to learn more about Experian’s products and services that can help. As we go walking in the winter wonderland, remember, the holiday season is a time for cheer… and vigilance!

This quarter’s State of the Automotive Finance Market report provides a stark reality check for anyone making doomsday predictions about a subprime bubble in the auto industry. While delinquent payments are slightly on the rise, data from the report show that the auto lending industry has responded by reining in loans to subprime consumers. Results found that newly originated loans to prime borrowers jumped two percent to encompass nearly 60 percent of auto loans financed in Q3 2016. Moreover, loans extended to consumers in the subprime tier fell 4.5 percent from the previous year, and loans to deep-subprime consumers dropped 2.8 percent to the lowest level on record since 2008. When considering delinquent payments, there’s no extreme cause for concern either as overall 30-day delinquencies remained flat from the previous quarter, and overall 60-day delinquencies showed a slight uptick to 0.74 percent in Q3 2016 (0.67 percent in Q3 2015). The move in Q3 to more prime and super prime customers pushed the average loan scores higher for the first time in four years. For new vehicle loans, the average credit score climbed two points to 712 in Q3 2016, marking the first time average credit scores for new vehicle loans rose since hitting a record high of 723 in Q2 2012. For used-vehicle loans, the average credit score jumped five points from 650 in Q3 2015 to 655 in Q 2016. More notable news in the auto loan market – there was a slight increase in interest rates. Interest rates for the average new vehicle loan went from 4.63 percent in Q3 2015 to 4.69 percent in Q3 2016. This increase played a key role in driving more market share to the credit unions. Credit unions grew their share of the total automotive loan market from 17.6 percent in Q3 2015 to 19.6 percent in Q3 2016. For new vehicle loans specifically, credit unions grew their share by 22 percent, going from 9.9 percent in Q3 2015 to 12 percent in Q3 2016. Other key findings from the Q3 2016 report: Total open automotive loan balances reached a record high of $1.055 billion. Used vehicle loan amounts reached a record high of $19,227, up by $361. The average new vehicle loan amount jumped to $30,022 from $28,936. Share of new vehicle leasing jumped to 29.49 percent from 26.93 percent. The average monthly payment for a new vehicle loan was $495, up from $482. The average new vehicle lease payment was $405, up from $398. The average monthly payment for a used vehicle loan was $362, up from $360. The average loan term for a new vehicle was 68 months. To see the full report results, or to download the webinar and presentation, visit https://www.experian.com/automotive/auto-data.html

Which part of the country has bragging rights when it comes to sporting the best consumer credit scores? Drum roll please … Honors go to the Midwest. In fact, eight of the 10 cities with the highest consumer credit scores heralded from Minnesota and Wisconsin. Mankato, Minn., earned the highest ranking with an average credit score of 708 and Greenwood, Miss., placed last with an average credit score of 622. Even better news is that the nation’s average credit score is up four points; 669 to 673 from last year and is only six points away from the 2007 average of 679, which is a promising sign as the economy continues to rebound. Experian’s annual study ranks American cities by credit score and reveals which cities are the best and worst at managing their credit, along with a glimpse at how the nation and each generation is faring. “All credit indicators suggest consumers are not as ‘credit stressed’ — credit card balances and average debt are up while utilization rates remained consistent at 30 percent,” said Michele Raneri, vice president of analytics and new business development at Experian. As for the generational victors, the Silents have an average 730, Boomers come in with 700, Gen X with 655 and Gen Y with 634. We’re also starting to see Gen Z emerge for the first time in the credit ranks with an average score of 631. Couple this news with other favorable economic indicators and it appears the country is humming along in a positive direction. The stock market reached record highs post-election. Bankcard originations and balances continue to grow, dominated by the prime borrower. And the housing market is healthy with boomerang borrowers re-emerging. An estimated 2.5 million Americans will see a foreclosure fall of their credit report between June 2016 and June 2017, creating a new pool of potential buyers with improved credit profiles. More than 12 percent who foreclosed back in the Great Recession have already boomeranged to become homeowners again, while 29 percent who experienced a short sale during that same time have also recently taken on a mortgage. “We are seeing the positive effects of economic recovery with the rise in income and low unemployment reflected in how Americans are managing their credit,” said Raneri. Which means all is good in the world of credit. Of course there is always room for improvement, but this year’s 7th annual state of credit reveals there is much to be thankful for in 2016.

2017 data breach landscape Experian Data Breach Resolution releases its fourth annual Data Breach Industry Forecast report with five key predictions What will the 2017 data breach landscape look like? While many companies have data breach preparedness on their radar, it takes constant vigilance to stay ahead of emerging threats and increasingly sophisticated cybercriminals. To learn more about what risks may lie ahead, Experian Data Breach Resolution released its fourth annual Data Breach Industry Forecast white paper. The industry predictions in the report are rooted in Experian's history helping companies navigate more than 17,000 breaches over the last decade and almost 4,000 breaches in 2016 alone. The anticipated issues include nation-state cyberattacks possibly moving from espionage to full-scale cyber conflicts and new attacks targeting the healthcare industry. "Preparing for a data breach has become much more complex over the last few years," said Michael Bruemmer, vice president at Experian Data Breach Resolution. "Organizations must keep an eye on the many new and constantly evolving threats and address these threats in their incident response plans. Our report sheds a light on a few areas that could be troublesome in 2017 and beyond." "Experian's annual Data Breach Forecast has proven to be great insight for cyber and risk management professionals, particularly in the healthcare sector as the industry adopts emerging technology at a record pace, creating an ever wider cyber-attack surface, adds Ann Patterson, senior vice president, Medical Identity Fraud Alliance (MIFA). "The consequences of a medical data breach are wide-ranging, with devastating effects across the board - from the breached entity to consumers who may experience medical ID fraud to the healthcare industry as a whole. There is no silver bullet for cybersecurity, however, making good use of trends and analysis to keep evolving our cyber protections along with forecasted threats is vital." "The 72 hour notice requirement to EU authorities under the GDPR is going to put U.S.-based organizations in a difficult situation, said Dominic Paluzzi, co-chair of the Data Privacy & Cybersecurity Practice at McDonald Hopkins. "The upcoming EU law may just have the effect of expediting breach notification globally, although 72 hour notice from discovery will be extremely difficult to comply with in many breaches. Organizations' incident response plans should certainly be updated to account for these new laws set to go in effect in 2017." Omer Tene, Vice President of Research and Education for International Association of Privacy Professionals, added "Clearly, the biggest challenge for businesses in 2017 will be preparing for the entry into force of the GDPR, a massive regulatory framework with implications for budget and staff, carrying stiff fines and penalties in an unprecedented amount. Against a backdrop of escalating cyber events, such as the recent attack on Internet backbone orchestrated through IoT devices, companies will need to train, educate and certify their staff to mitigate personal data risks." Download Whitepaper: Fourth Annual 2017 Data Breach Industry Forecast Learn more about the five industry predictions, and issues such as ransomware and international breach notice laws in our the complimentary white paper. Click here to learn more about our fraud products, find additional data breach resources, including webinars, white papers and videos.

How will the FinCEN revisions impact your business? (Part 2) I recently discussed the new FinCEN requirements to Customer Due Diligence. This time, I’d like to focus on the recent FinCEN advisory regarding “email-compromise fraud.” This new advisory sheds additional light on the dual threats of both Email Account Compromise impacting the general public and Business Email Compromise that targets businesses. FinCEN has rightly identified and communicated several high-risk conditions common to the perpetration of scams such as varied languages, slight alterations in email addresses, out-of-norm account and transaction information, and social engineering in the form of follow-up requests for additional transfers. In addition to introducing operational standards to detect such conditions, institutions also would benefit from these other tactics and focal points as they respond to email requests for financial transfers: Email validation and verification — use of third-party vendor services that can deliver a measurable level of confidence in the association of an email address to an actual, true identity. Multifactor authentication — use of dual-step or out-of-band verification of the requested transaction using alternate channels such as phone. Robust KYC/CIP at application and account opening to ensure that name, address, date of birth and Social Security number are verified and positively and consistently linked to a single identity, as well as augmented with phone and email verification and association for use in customer communications and multifactor authentications. Customer transactional monitoring in the form of establishing typical or normal transfer activity and thresholds for outlying variations of concern. Known and suspected fraud databases updated in real time or near real time for establishing blacklist emails to be segmented as high risk or declines upon receipt. Identity application and transactional link analysis to monitor for and detect the use of shared and manipulated email addresses across multiple transaction requests for disparate identities. Access to device intelligence and risk assessment to ensure consistent association of a true customer with one or more trusted devices and to detect variance in those trusted associations. Which of these 7 tactics are you using to stop email-compromise fraud?

In order to compete for consumers and to enable lender growth, creating operational efficiencies such as automated decisioning is a must. Unfortunately, somewhere along the way, automated decisioning unfairly earned a reputation for being difficult to implement, expensive and time consuming. But don’t let that discourage you from experiencing its benefits. Let’s take a look at the most popular myths about auto decisioning. Myth #1: Our system isn’t coded. If your system is already calling out for Experian credit reporting data, a very simple change in the inquiry logic will allow your system to access Decisioning as a ServiceSM. Myth #2: We don’t have enough IT resources. Decisioning is typically hosted and embedded within an existing software that most credit unions currently use – thus eliminating or minimizing the need for IT.  A good system will allow configuration changes at any time by a business administrator and should not require assistance from a host of IT staff, so the demand on IT resources should decrease.  Decisioning as a Service solutions are designed to be user friendly to shorten the learning curve and implementation time. Myth #3: It’s too expensive. Sure, there are highly customized products out there that come with hefty price tags, but there are also automated solutions available that suit your budget. Configuring a product to meet your needs and leaving off any extra bells and whistles that aren’t useful to your organization will help you stick to your allotted budget. Myth #4: Low ROI. Oh contraire…Clients can realize significant return-on-investment with automated decisioning by booking more accounts … 10 percent increase or more in booked accounts is typical. Even more, clients typically realize a 10 percent reduction in bad debt and manual review costs, respectively. Simply estimating the value of each of these things can help populate an ROI for the solution. Myth #5: The timeline to implement is too long. It’s true, automation can involve a lot of functions and tasks – especially if you take it on yourself. By calling out to a hosted environment, Experian’s Decisioning as a Service can take as few as six weeks to implement since it simply augments a current system and does not replace a large piece of software.  Myth #6: Manual decisions give a better member experience. Actually, manual decisions are made by people with their own points of view, who have good days and bad days and let recent experiences affect new decisions. Automated decisioning returns a consistent response, every time. Regulators love this! Myth #7:  We don’t use Experian data. Experian’s Decisioning as a Service is data agnostic and has the ability to call out to many third-party data sources and configure them to be used in decisioning. --- These myth busters make a great case for implementing automated decisioning in your loan origination system instead of a reason to avoid it. Learn more about Decisioning as a Service and how it can be leveraged to either augment or overhaul your current decisioning platforms.  

Reinventing Identity for the Digital Age Electronic Signature & Records Association (ESRA) conference I recently had the opportunity to speak at the Electronic Signature & Records Association (ESRA) conference in Washington D.C.  I was part of a fantastic panel delving into the topic, ‘Reinventing Identity for the Digital Age.’  While certainly hard to do in just an hour, we gave it a go and the dialogue was engaging, healthy in debate, and a conversation that will continue on for years to come.  The entirety of the discussion could be summarized as: An attempt to directionally define a digital identity today The future of ownership and potential monetization of trusted identities And the management of identities as they reside behind credentials or the foundations of block chain Again, big questions deserving of big answers. What I will suggest, however, is a definition of a digital identity to debate, embrace, or even deride.  Digital identities, at a minimum, should now be considered as a triad of 1) verified personally identifiable information, 2) the collective set of devices through which that identity transacts, and 3) the transactional (monetary or non-monetary) history of that identity. Understanding all three components of an identity can allow institutions to engage with their customers with a more holistic view that will enable the establishment of omni-channel communications and accounts, trusted access credentials, and customer vs. account-level risk assessment and decisioning. In tandem with advances in credentialing and transactional authorization such as biometrics, block chain, and e-signatures, focus should also remain on what we at Experian consider the three pillars of identity relationship management: Identity proofing (verification that the person is who they claim to be at a specific point in time) Authentication (ongoing verification of a person’s identity) Identity management (ongoing monitoring of a person’s identity) As stronger credentialing facilitates more trust and open functionality in non-face-to-face transactions, more risk is inherently added to those credentials.  Therefore, it becomes vital that a single snapshot approach to traditionally transaction-based authentication is replaced with a notion of identity relationship management that drives more contextual authentication.  The context thus expands to triangulate previous identity proofing results, current transactional characteristics (risk and reward), and any updated risk attributes associated with the identity that can be gleaned. The bottom line is that identity risk changes over time.  Some identities become more trustworthy … some become less so.  Better credentials and more secure transactional rails improve our experiences as consumers and better protect our personal information.  They cannot, however, replace the need to know what’s going on with the real person who owns those credentials or transacts on those rails.  Consumers will continue to become more owners of their digital identity as they grant access to it across multiple applications.  Institutions are already engaged in strategies to monetize trusted and shareable identities across markets.  Realizing the dynamic nature of identity risk, and implementing methods to measure that risk over time, will better enable those two initiatives. Click here to read more about Identity Relationship Management.

For members of the U.S. military, relocating often, returning home following a lengthy deployment and living with uncertainty isn’t easy. It can take an emotional and financial toll, and many are unprepared for their economic reality after they separate from the military. As we honor those who have served our country this Veterans Day, we are highlighting some of the special financial benefits and safeguards available to help veterans. Housing Help One of the best benefits offered to service members is the Veteran’s Administration (VA) home-loan program. Loan rates are competitive, and the VA guarantees up to 25 percent of the payment on the loan, making it one of the only ways available to buy a home with no down payment and no private mortgage insurance. Debt Relief Having a VA loan qualifies military members for a Military Debt Consolidation Loan (MDCL) that can help with overcoming financial difficulties. The MDCL is similar to a debt consolidation loan: take out one loan to pay off all unsecured debts, such as credit cards, medical bills and payday loans, and make a single payment to one lender. The advantage of a MDCL? Paying a lower interest rate and closing costs than civilians and far less interest than paying the same bills with credit cards. These refinancing loans can be spread out over 10, 15 and sometimes 30 years. Education Benefits The GI Bill is arguably the best benefit for veterans and members of the armed forces. It helps service members pay for higher education for themselves and their dependents, and is one of the top reasons people enlist. Eligible service members receive up to 36 months of education benefits, based on the type of training, length of service, college fund availability and whether he or she contributed to a buy-up program while on active duty. Benefits last up to 10 years, but the time limit may be extended. Saving & Investing Money According to the Department of Defense’s annual Demographics Report, 87 percent of military families contribute to a retirement account. Service members who participated in the Thrift Savings Plan, however, are often unaware of their options after they separate from service, and many don’t realize the advantages of rolling their plans into an IRA or retirement plan of a new employer. Safeguarding Identity Everyone is a potential identity theft target, but military personnel and veterans are particularly vulnerable. Routinely reviewing a credit report is one way to detect a breach. The Attorney General's Office provides general information about what steps to take to recover from identify theft or fraud. Today is a great time to consider ways to support your veteran and active military consumers. They are deserving of our support and recognition not just today but continuously. Learn more about services for veterans and active military to understand the varying protections, and how financial institutions can best support military credit consumers and their families.

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It’s been a wild ride for the financial services industry over the past eight years. After the mortgage meltdown, the Great Recession and a stagnant economy … well, one could say the country had seen better days. Did you watch The Big Short last winter? It all came crumbling down. And then President Barack Obama entered the scene. Change was needed. More oversight introduced. Suddenly, we had the Affordable Care Act, the Dodd-Frank Wall Street Reform Act and the creation of the Consumer Financial Protection Bureau (CFPB). Taxes were raised on the country’s highest earners for the first time since the late-1990s. In essence, the pendulum swung hard and fast to a new era of tightened and rigorous regulation. Fast forward to present day and we find ourselves on the cusp of transitioning to new leadership for the country. A new president, new cabinet, new leaders in Congress. What will it all mean for financial services regulations? It’s helpful to initially take a look back at the key regulations that have been introduced over the past eight years. Mortgage Reform: Long gone are the days of obtaining a quick mortgage.  New rules have required loan originators to verify and document the consumer’s income and assets, including employment status (if relied upon), existing debt obligations, mortgage-related obligations, alimony and child support. The CFPB has also expanded foreclosure protections for struggling borrowers and homeowners. Maintaining the health of the mortgage industry is important for the entire country, and updated rules have enhanced the safety and transparency of the mortgage market. Home values have largely recovered from the darkest days, but some question whether the underwriting criteria have become too strict. Combatting Fraud: The latest cyber-attack trends and threats come fast and furious. Thus, regulators are largely addressing the challenge by expecting banks to adhere to world-class standards from organizations such as the National Institute of Standards and Technology (NIST). The Federal Trade Commission (FTC) and the National Credit Union Administration (NCUA) implemented the Red Flags Rule in November 2008. It requires institutions to establish policies and procedures to identify and recognize red flags — i.e., patterns, practices or specific activities that indicate the possible existence of identity theft — that occur during account-opening activities, existing account maintenance and new activity on an account that has been inactive for two or more years. Loss Forecasting: The Dodd-Frank Act Requires the Federal Reserve to conduct an annual stress test of bank holding companies (BHCs), savings and loan holding companies, state member banks, and nonbank financial institutions. In October 2012, the Fed Board adopted the Comprehensive Capital Analysis and Review (CCAR) rules. This requires banks with assets of $50 billion or more to submit to an annual review centered on a supervisory stress test to gauge capital adequacy. In January 2016, Dodd-Frank Act Stress Testing (DFAST) was introduced, requiring bank holding companies with assets of $10 billion or more to conduct separate annual stress tests known as “company-run tests” using economic scenarios. Every year regulators expect to see continued improvement in stress-testing models and capital-planning approaches as they raise the bar on what constitutes an acceptable practice. CFPB: No longer the new kids on the block, the CFPB has transitioned to an entity that has its tentacles into every aspect of consumer financial products. Mortgage lending was one of their first pursuits, but they have since dug into “ability-to-pay underwriting” and servicing standards for auto loans, credit cards and add-on products sold through third-party vendors. Now they are looking into will likely be the next “bubble,” – student lending – and educating themselves about online marketplace lending. Data Quality: Expectations related to data quality, risk analytics, and regulatory reporting have risen dramatically since the financial downturn. Inaccuracy in data is costly and harmful, slows down the industry, and creates frustration. In short, it’s bad for consumers and the industry. It’s no secret that financial institutions rely on the accuracy of credit data to make the most informed decisions about the creditworthiness of their customers. With intense scrutiny in this area, many financial institutions have created robust teams to handle and manage requirements and implement sound policies surrounding data accuracy. --- This is merely a sliver of the multiple regulations introduced and strengthened over the past eight years. Is there a belief that the regulatory pendulum might take a swing to other side with new leadership? Unlikely. The agenda for 2017 largely centers on the need to improve debt collections practices, enhance access to credit for struggling Americans, and the need for ongoing monitoring of the fintech space. Only time will tell, but one thing is certain. Anyone involved in financial services needs to keep a watchful eye on the ever-evolving world of regulation and Washington.

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$1.3 trillion. 41.1 million Americans. $31,590. These are the growing numbers associated with student loan debt in the United States: $1.3 trillion in outstanding student loans, spread across 41.1 million people, who are leaving college with an average balance of $31,590. The numbers are staggering, and for the first time student loan debt is playing a prominent role in a presidential election. For all of their differences, presidential nominees Hillary Clinton and Donald Trump seem to agree on one thing: student loan debt is a crushing burden. Both candidates have proposed solutions for student lending. Clinton’s “New College Compact” would allow borrowers to refinance their student loans at current rates available to students taking out new loans. She also wants to reduce interest rates on new student loans, and make it easier for borrowers to enroll in income-driven repayment programs that would cap monthly payments at 10 percent of discretionary income. Trump proposes giving more oversight to colleges to decide whether to grant loans to students based on their prospective major. The plan would also give private banks oversight over government-backed student loans—reversing a 2010 decision under President Obama to make the federal government the lender. Neither candidate, however, has outlined a solution for taming growing tuition costs. Tuition expenses are up 1,225 percent over the past 36 years, outpacing medical costs (634 percent rise) and the consumer price index (279 percent) over the same period, according to the Bureau of Labor Statistics. So it’s not surprising an Experian study shows the student loan rate has grown five percent in the past three years. What is surprising is the number of people and the average age of those people holding student loans. Experian found: 20 percent of people with a credit file hold a student loan that is being repaid or deferred. The average age of a consumer with a student loan is 37, with an average income of $47,200 compared to 53.8 and an average income is $44,500 for consumers without a student loan. The average age of a consumer with at least one deferred student loan is 32.7 with an average income of $32,900 compared to 38.7 and an average income of $53,200 for consumers with at least one non-deferred student loan. Candidate proposals aside, one thing is certain: student loan debt has a very real impact on the daily lives of people, many of whom have delayed buying homes, starting families, and saving for retirement. Until policymakers find a way to address bloated tuitions and student debt, it will take many longer to realize their dreams.

Since 1948, International Credit Union Day – a time to recognize the credit union movement – has been celebrated the third Thursday of October. The day is the perfect time to remind your members and consumers about all of the services and benefits your credit union offers. This year’s theme, “The Authentic Difference,” celebrates what makes credit unions stand out. Here are 10 reasons CUs deserve a spotlight: Credit unions are non-profit cooperatives, owned and operated by its members. That means they emphasize consumer value to more than 217 million members worldwide. Profits go back to members in the form of reduced fees, higher savings rates and lower loan rates. Personal relationships are key. Credit unions pride themselves on developing relationships with their members, and CUs are typically staffed by friendly reps who know customers by name. Checking accounts are free. Roughly 80 percent of credit unions offer free checking accounts, compared to less than 50 percent of banks, according to economic research firm Moebs Services. Few ATM fees. Many credit union customers are able to avoid ATM fees because CUs typically give them access to a large network of ATMs by sharing branches and other resources. Savings rates are above average. Because credit unions don't have to pay dividends to shareholders and are exempt from federal taxes they can offer high rates on saving accounts. The average credit union offers CD, money market, and savings rates well above the national banking rates average. Lower interest rates. Credit unions offer lower interest rates on some loans. The difference between banks and credit unions was greatest in car-loan interest rates, according to a September report by SNL Financial. The average 36-month used-car loan interest rate offered by CUs was 2.67 percent compared to 4.45 percent for banks. For new-car loans, CUs offered an average interest rate for 48 months of 2.60 percent compared to 3.94 percent for banks. Invested in the community. A credit union’s core values are focused on its members and the communities where they live and work. Many provide financial education and outreach to consumers. It’s easier to get credit. CUs don’t have to abide by loan restrictions and qualifications mandated by a corporate office, so they have more flexibility to make loans when possible. Small-business support: CUs may know borrowers and are able to take into account intangibles like community reputation and accountability. Also, they understand the value to the community of a small business, its market and credit needs. Joining is easy. Many credit unions base eligibility simply on where you live, instead of restricting membership to a particular employer. Since expanding eligibility, credit union membership has grown by about two percent a year for the past decade.

Much has been written about Millennials over the past few years, and many continue to speculate on how this now largest living generation will live, age and ultimately change the world. Will they still aspire to achieve the “American Dream” of education, home and raising a family? Do they wish for something different? Or has the “Dream” simply been delayed with so many individuals saddled with record-high student loan debt? According to a recent study by Pew, for the first time in more than 130 years, adults ages 18 to 34 were slightly more likely to be living in their parents’ home than they were to be living with a spouse or partner in their own household. It’s no secret the median age of first marriage has risen steadily for decades. In fact, a growing share of young adults may be eschewing marriage altogether. Layer on the story that about half of young college graduates between the ages of 22 and 27 are said to be “underemployed”—working in a job that hasn’t historically required a college degree – and it’s clear if nothing else that the “American Dream” for many Millennials has been delayed. So what does this all mean for the world of homeownership? While some experts warn the homeownership rate will continue to decrease, others – like Freddie Mac – believe that sentiment is overly pessimistic. Freddie Mac Chief Economist Sean Becketti says, “The income and education gaps that are responsible for some of the differences may be narrowed or eliminated as the U.S. becomes a 'majority minority' country.” Mortgage interest rates are still near historic lows, but home prices are rising far faster than incomes, negating much of the savings from these low rates. Experian has taken the question a step further, diving into not just “Do Millennials want to buy homes” but “Can Millennials buy homes?” Using mortgage readiness underwriting criteria, the bureau took a large consumer sample and assessed Millennial mortgage readiness. Experian then worked with Freddie Mac to identify where these “ready” individuals had the best chance of finding homes. The two factors that had the strongest correlation on homeownership were income and being married. From a credit perspective, 33 percent of the sample had strong or moderate credit, while 50 percent had weak credit. While the 50 percent figure is startling, it is important to note 40 percent of that grouping consisted of individuals aged 18 to 26. They simply haven’t had enough time to build up their credit. Second, of the weak group, 31 percent were “near-moderate,” meaning their VantageScore® credit score is 601 to 660, so they are close to reaching a “ready” status. Overall, student debt and home price had a negative correlation on homeownership. In regards to regions, Millennials are most likely to live in places where they can make money, so urban hubs like Los Angeles, San Francisco, Chicago, Dallas, Houston, Boston, New York and DC currently serve as basecamp for this group. Still, when you factor in affordability, findings revealed the Greater New York, Houston and Miami areas would be good areas for sourcing Millennials who are mortgage ready and matching them to affordable inventory. Complete research findings can be accessed in the Experian-Freddie Mac co-hosted webinar, but overall signs indicate Millennials are increasingly becoming “mortgage ready” as they age, and will soon want to own their slice of the “American Dream.” Expect the Millennial homeownership rate of 34 percent to creep higher in the years to come. Brokers, lenders and realtors get ready.