Bank profits, credit risk and loan pricing for 2008 – part 4

by Guest Contributor 2 min read March 10, 2009

By: Tom Hannagan

Part 4

Let’s dig a bit deeper into why Peer Group 1’s margins didn’t improve. We see two possible reasons: Total deposit balances declined from 72 percent of average assets to 70 percent. This means that a larger amount had to be borrowed to fund their assets. Secondly, non-interest bearing demand deposits declined from 4.85 percent of average assets to 4.24 percent. So, fewer deposit balances relative to total asset size, along with a lower proportion of interest-cost-free deposits, appear to have made the difference.

Fee income
Non-interest income, again as a percent of average total assets, was down to 1.12 percent from 1.23 percent in 2007. This was a decline of 9 percent. For Peer Group 1 (PG1), fees have also been steadily declining relative to asset size, down from 1.49 percent of assets in 2005. A lot of fee income is deposit based and largely based on non-interest bearing deposits. So, the declining interest-free balances, as a percent of total assets, are a source of pressure on fee income and have a negative impact on net interest margins.

Operating expenses
Operating expenses constituted more bad news as they increased from 2.63 percent to 2.77 percent of average assets. Most of the large scale cost-cutting didn’t get started early enough to favorably impact this number for last year. Historically, this metric has moved down, irregularly, as the size of the largest banks has grown. This number stood at 2.54 percent in 2006, for instance. We saw increase in both 2007 and again in 2008.

As a result of the decline in margins and the larger percentage decline in fee income, while operating costs increased, the Peer Group 1 efficiency ratio lost ground from 57.71 percent in 2007 up to 63.70 percent in 2008. This 10 percent increase is a move to the bad. It means every dollar in gross revenue [net interest income + fee income] cost them almost 64 cents in administrative expenses in 2008. This metric averaged 55 cents in 2005/2006.

The total impact of changes in margin performance, fee income, operating expenses and the 2008 increase in provision expense of 87 basis points, we arrive at a total decline in pre-tax operating income of 1.23 percent on total assets. That is a total decline of 80 percent from the pre-tax performance in 2007 of 1.53 percent pre-tax ROA to the 2008 result for the group of only .30 percent pre-tax ROA.

It would appear that banks have not been utilizing pricing enough credit risk into their loan rates.  This would be further confirmed if you compared bank loan rates to the historic risk spreads and absolute rates that the market currently has priced into both investment grade and below-investment-grade corporate bonds. These spreads have decreased some very recently, but it is predicted that more credit risk is present than bank lending rates would indicate.

Related Posts

Ask the Expert: The Future of Lending Starts With Identity With Shawn Rife and Brian Cardona

Identity intelligence and alternative data can help lenders validate consumers and support more informed decisions across the customer lifecycle.

September 16, 2026 by Julie Lee
Financial Institutions Are Rethinking Customer Acqusition

Customer acquisition strategies are constantly evolving toward more precise targeting. From a marketing lens, you can track every step, optimize communication channels and still miss the person most likely to convert. Attribution can tell us which channels work and automation can make marketing spend more efficient. But both assume we know who is actually on the other end. Financial institutions are learning that finding audiences and targeting them is no longer the biggest challenge. As acquisition optimization marketing becomes more sophisticated, teams can measure and act on more signals than before. What they can't always know is whether the person on the receiving end is real. Customer acquisition has evolved into an identity problem. The challenge is not that every questionable signal represents malicious activity. It's that acquisition systems must make increasingly intelligent decisions with an imperfect understanding of who they're actually engaging. When identities are fragmented, duplicated, temporary or synthetic, optimization becomes a question of trust as much as targeting. When your signals don't reliably identify customers The customer journey often includes searching, filling out a form, creating an account, requesting a quote and subscribing. All of these signals work well when identity is relatively stable.  However, financial institutions are finding that these signals are becoming less reliable. A single person can operate across multiple personas, devices, browsers, aliases, accounts and intermediaries while several apparent “people” may actually represent one underlying actor. Financial instituions are finding: Fragmented customer signals Difficulty distinguishing an old account from a new one Different digital pathways associated with the same individual Signals that are generated by automation Real customers getting flagged because signals are too thin to evaluate confidently Legacy signals continue to be challenged Marketing has historically treated intent as a valuable signal because intent was relatively difficult to produce. A search required human intent. A form required someone to fill it out. An inquiry implied a meaningful amount of human effort. Financial institutions are already combating AI-enabled fraud, and now marketing teams are starting to face it on a massive scale. AI can mimic human behavior by researching products, comparing prices, filling out forms, creating accounts and signing up for services. A valid email address is no longer enough. Marketers need to know: How long has it existed? How recently has it been active? Does its activity appear consistent or suddenly anomalous? Has it gone dormant and returned? Is it associated with patterns that suggest stability or unusual behavior? How to build on your strongest signal Email remains one of the most persistent identifiers in digital commerce, following people across devices, platforms, transactions, subscriptions, accounts and years of activity. For over two decades, this has shaped how AtData thinks about identity. Now, as part of Experian, it’s shaping how an entire platform and team approach identity. A marketer doesn’t need every prospect to have existed online for twenty years. But understanding whether a newly acquired prospect has meaningful identity context can dramatically improve the quality of the decision being made around it. Better identity intelligence can help organizations reduce unnecessary friction by improving their ability to recognize legitimate customers. With a strong identity foundation, marketing teams can better address: Which audiences are more likely to convert? Which leads are high quality? Which channels are driving incremental growth? What do the best prospects look like? The value isn't simply having an email address. It's understanding the history and behavioral context associated with it. That context can provide a stronger digital identity signal, helping marketers understand how long they have been active, whether its behavior is consistent with that of a real person and whether current activity aligns with past patterns. It continues to be one of the most persistent identifiers in digital commerce. An infrastructure built for what's coming The acquisition of AtData by Experian reflects a fundamental shift in how identity infrastructure needs to work. Experian's scale and decisioning capabilities, combined with AtData's real-time email intelligence, create a strong platform. Read more about the why behind the acquisition and see how email works as an identity anchor for fraud prevention. Contact us to learn about our customer acquisition solutions

September 15, 2026 by Zohreen Ismail
As Electric Vehicle Adoption Eases, Dealers Can Find New Opportunities To Reach Consumers

After years of rapid growth, new electric vehicle (EV) registrations have moderated, and the EV market has entered a new chapter. But slower growth shouldn’t be mistaken for disappearing demand, with data suggesting the reality is much more nuanced. According to Experian Automotive’s Automotive Consumer Trends Report: Q2 2026, battery EVs accounted for 8.21% of new retail registrations in the last 12 months, down from 9.23% a year earlier. However, consumers aren’t simply walking away from electrification. In fact, more than one million new EVs were registered during the past 12 months and the used EV market recorded more than 540,000 registrations over the same period. The opportunity may be less about waiting for the EV market to grow and more about understanding where EV demand is present, who is driving them, and how to reach those consumers more effectively. Who is likely to purchase an EV and what vehicle types are they interested in? Understanding who’s in the market for an EV can allow dealers to position themselves around consumers’ needs as they choose a vehicle that fits their everyday lifestyle. In the second quarter of 2026, Millennials and Gen X accounted for 67.83% of new EV registrations, nearly 10 percentage points above their combined share of all new, retail registrations. Millennials were also the largest generational audience across both new and used EV market share, coming in at 35.76% and 38.42%, respectively. It’s important to consider that the EV shopper isn’t necessarily looking for an unfamiliar or new type of vehicle. In many cases, they’re seemingly looking for an electric version of the practical vehicle they already know. For instance, SUVs accounted for 77.47% of new EV registrations in Q2 2026, which was similar to SUVs’ 63.49% share of all new retail registrations. For these shoppers, creating messaging around value, practicality, and available choices may resonate differently than premium technology messaging aimed at some new-EV prospects. The more precisely dealers can identify those audiences, the less they need to depend on broad EV market momentum to generate demand. To learn more about EV insights, view the full Automotive Consumer Trends Report: Q2 2026 presentation.

September 15, 2026 by Kirsten Von Busch

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe