Look mommy, I shrunk the bank

by Guest Contributor 2 min read July 28, 2010

By: Tom Hannagan

An article in American Banker* today discusses how many community banks are now discouraging new deposit gathering. We have seen many headlines in the past couple of years about how banks are not lending. Loan origination has been trending downward for many months. Now, they aren’t seeking deposits either. You would think this is the ultimate way to lower risk, but that’s not necessarily so.

There are many different reasons why banks have or may be reducing their balance sheets. Tighter credit standards, and relatively low loan demand are chief among them. This is largely a reaction, on the part of banks and borrowers, to the economic contraction and painfully slow recovery. The softness in real estate is still a large overhanging problem – for consumers, businesses, governments and the banks. Banks are still working on loss provisioning in an attempt to deal with the embedded credit risk from the last recession.

Even though they may be shrinking, or very slowly growing their loan portfolio, all of the forward risk management considerations are still there. That is true for the lending business and for managing the overall balance sheet. Most apparent among all these considerations is that the entire existing loan portfolio is steadily coming up for renewal consideration. That is as much of an opportunity for reconsidering a loan’s risk and return characteristics as is considering a new loan. It is also an opportunity to review the relationship management strategy, including the value of other relationship services or the time to sell new services to that client. All these sales situations involve risk and return considerations. Not least among them are the deposit services – existing and potential – associated with the relationship.

The main point in the American Banker article was that banks can have trouble putting new deposit funds to work profitably. That makes sense. Deposits involve operating risk and operating costs. The costs include both fixed and variable costs. There are four or five major types of deposits. Each of them has very different operating cost profiles, balance behavior and levels of interest expense. They also involve market risk in that their loyalty or likely duration varies.

So, it is important to take both the risk and return factors of new/renewed loans into account AND to take the risk and return factors of new/existing deposit balances into account as part of ongoing relationship management – and the bank’s resulting balance sheet direction. This is a lot to consider. A good risk-based profitability regimen is as critical as ever.

*American Banker, Tuesday, July 27, 2010. In Cash Glut, Banks Try to Discourage New Deposits. By, Paul Davis

Related Posts

Customer Spotlight: How Matrix Rental Solutions Strengthens Trust in Affordable Housing

Learn how Matrix continues to deliver a secure, trusted rental experience as fraud tactics evolve. Read more!

July 31, 2026 by Laura Burrows
What Is AI Decisioning?

Every business makes decisions about people and transactions all day long. Should we approve this loan? Is this purchase fraud? Which customer should get this offer, and what should it be? For a long time, those decisions were made in one of two ways: a person reviewed each case by hand, or the company wrote fixed rules, like "approve anyone with a credit score above 700." Both work. Both also leave value on the table. The manual review is slow and hard to scale. The fixed rule can turn away good applicants and is slow to adapt when the market shifts. AI decisioning is a third way. What makes AI decisioning work Instead of relying on a single reviewer or a rigid rule, automated decisioning uses models that learn from data — studying how thousands of past cases turned out, finding the patterns that predict an outcome, and applying them to each new decision, often in real time. The result is faster, more consistent decisions. But a model on its own isn't the whole story. Getting real value from AI decisioning takes good data to learn from, AI analytics to generate insights, the tools to act on it and the governance to keep it compliant. What we've found is that the pieces only pay off when they work together, and that is where we're built differently. A model is only as good as what it learns from, and we pair your data with one of the deepest views of consumer and commercial credit: decades of full-file history and vetted attributes. Then we give you the tools to act on it. Use cases across your business Whether you're trying to grow your customer base, reduce fraud, manage lending risk, or improve collections, automated decisioning brings all the pieces together to make more accurate, consistent and explainable decisions at scale. Fraud and Identity A fraudulent transaction that slips through costs money and erodes trust. Rules are static, and fraudsters move fast. They'll probe boundaries, find the blind spots and move to the next scheme. By the time the rules are updated, they're already three steps ahead. How AI decisioning changes this: AI fraud detection with real-time risk scoring and decisioning across transactions and customer interactions Intelligence that continuously learns from results to help adapt fraud strategies as threats evolve Reduced false positives and less friction for customers at account opening and checkout Identity verification tools that confirm someone is who they say they are without slowing down the experience Credit and Lending Loan approval is where the relationship begins. Credit risk decisioning helps lenders find that delicate balance between approving enough people to grow, but carefully enough to manage risk. Missing that balance means turning away good customers or taking on losses that are difficult to absorb. How AI decisioning changes this: Increased approval opportunities for creditworthy applicants without increasing overall risk Models you can update and deploy quickly as market conditions change, rather than waiting months Ability to run "what-if" scenarios to test how a new strategy would have performed on your historical data before putting it live Collections Which customer should your team reach out to today? Through which channel? What kind of message? If you reach out too aggressively, you push someone who might have recovered into default. If you wait too long, you lose them. If you call someone at work, they resent you; if you text, they might ignore it. If you offer a payment plan, they might accept it, but only if the terms make sense to their financial situation. How AI decisioning changes this: Optimized next-best-action and contact-channel strategies for each individual customer Improved recovery potential through better targeting Less time spent on accounts with a lower propensity to pay, freeing your team for higher-impact cases Ability to segment and test new strategies before rollout Customer Acqusition Finding the right customers is about reaching the right people with the right offer at the right time. To stay competitive, it’s now a requirement to balance growth with risk while creating a seamless experience converting prospects into customers. How AI decisioning changes this: More precise prospect targeting using credit, behavioral, and alternative data, where permitted, to identify consumers most likely to respond Personalized offers delivered in real time Dynamic decision strategies that can be updated quickly as market conditions and customer behavior change Ongoing testing and optimization of acquisition strategies to improve campaign performance and support customer lifetime value Driving results with AI decisioning Every customer interaction is a decision. Businesses that can adapt quickly will be better positioned to grow, manage risk, and deliver the experiences customers expect. The technology will continue to evolve, but the goal remains the same: making informed decisions that balance business objectives, risk, and customer experience. Learn more about our decisioning software

July 27, 2026 by Zohreen Ismail
Why Innovation Matters for Members First Credit Union

Learn how Members First Credit Union uses innovation and data-driven insights to better serve members and expand financial opportunity.

July 24, 2026 by Scarlet Nickel

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