Risk-Based Capital Measurement

by Guest Contributor 3 min read November 7, 2008

By: Tom Hannagan

Much of the blame for the credit disaster of 2007 and 2008 has been laid at the risk management desks of the largest banks. A silver lining in the historic financial disaster of today may be the new level of interest in management of risk — particularly, of the relationship between capital and risk. Financial institutions of all sizes must measure and monitor their risk-based capital for three critical reasons.

Ownership interest
First, equity capital represents the ownership interest in a bank. Although a relatively small portion of the balance sheet, equity capital is the part that actually belongs to a bank’s owners. Everything else on the liability side is owed to depositors or lenders. All of the bank’s activities and assets are levered against the funds contributed by the equity investors. This leverage is roughly 10-to-1 for most commercial banks in the United States. For the five major investment banks, this risk-based leverage reached 30-to-1. Their capital base, even with new infusions, could not cover their losses.  It is necessary and just good business sense to regularly let the owners know what’s going on as it relates to their piece of the pie—their invested funds. Owners want to know the bank is doing things well with their at-risk funds. Banks have a duty to tell them.

Funding expenses
Second, equity capital is by far the most expensive source of all funding. Transaction deposit funds are usually paid an effective rate of interest that is lower than short-to-intermediate-term market rates. Time depositors are competitively paid as little as possible based on the term and size of their commitment of funds. Most banks are able to borrow overnight funds at short-term market rates and longer-term funds at relatively economical AA or A ratings. Equity holders, however, have historically received (and typically expect) substantially more in the way of return on investment. Their total returns, including dividends, buybacks and enhanced market value, are usually double to triple the cost of other intermediate-to-long-term sources of funds. From a cost perspective, equity capital is the dearest funding the bank will ever obtain.

Risk factor
This brings us to the third reason for measuring and monitoring capital: the risk factor. A very large portion of banking regulation focuses on capital sufficiency because it directly affects a bank’s (and the banking industry’s) continued solvency. Equity capital is the last element of cushion that protects the bank from insolvency. Although it is relatively expensive, sufficient equity capital is absolutely required to start a bank and necessary to keep the bank in good stead with regulators, customers and others. Equity holders are usually conscious of the fact that they are last in line in the event of liquidation. There is no Federal Deposit Insurance Corporation (FDIC) for them, no specific assets earmarked to back their funding and no seniority associated with their invested money. We all know what “last in line” means for most shareholders if a failure occurs — 100 percent loss.

There is a clear and direct relationship between equity risk and cost—and between equity risk and expected return.  It is now more important for bank executives to monitor and measure their organization’s activities based on the relative risk of those activities and based on the equity capital required to support those risks. This means using return on equity (ROE) a lot more and return on assets (ROA) a lot less. Because of the critical need and high cost of risk-based equity and the various risks associated with the business of banking, decisions about the effective deployment of capital always have been the primary responsibility of bank leaders. Now, the rest of the world is focusing more on how well, or poorly, management of risk has been done.

I’ll comment on using ROE more in later posts.

Related Posts

The Email Address as Your Most Powerful Identity Signal

The why behind Experian's acquisition of AtData What happens when a comprehensive email intelligence database joins a global leader in data, analytics and fraud prevention? The acquisition of AtData adds 25+ years of building a complete view of email as an identity signal. Financial institutions can recognize, engage and protect customers unlocking a new standard for the way their teams work and the customer experience. That's what Experian's acquisition of AtData delivers. How we got here Not all email addresses tell the same story. Some are newly created. Some exhibit bot-like patterns. Some are inconsistent with every other signal you have about that person. Imagine a real customer. You have a job. You shop online. You have a primary email from your employer, a personal Gmail you've used for 15 years, and an old Yahoo address you still use for shopping because you've been using it since college. You're an engaged customer who interacts with brands, makes purchases and pays bills on time. But each system sees a different version of you. When you apply for credit, the lender sees one email. When you shop, the retailer sees another. When you sign up for a service, you might use the third. For financial institutions: You slow down the approval process to manually verify identity or approve applicants without the full picture. For retailers: You can't tell which version of "customer" is the most engaged, so you either over-mail or under-serve. For fraud systems: Sees a new account created under one email and flags it as suspicious because it doesn't have the history. This was the original problem AtData was built to solve in 1999. Twenty-five years later, that problem didn’t go away, it became more complex. Email fragmentation and device sharing are more common, and identity theft is more sophisticated. Capabilities that now work together Experian has built sophisticated identity and fraud solutions backed by consumer data resources and decades of expertise in credit and risk. AtData brought the ability to assess whether an email address is trustworthy, reachable and consistent—at scale, in real time. Experian is now making email intelligence foundational, not optional. This matters for: Fraud prevention and risk management: Distinguishing a returning customer from a new threat. Knowing whether an email is newly created, exhibiting bot-like patterns or inconsistent with other identities is crucial. Compliance: Building audit trails that can explain identity decisions. Email data history and behavioral signals create the documentation needed to defend your decisions. Credit: Verifying identity in a world where traditional signals are shifting. Email signals provide a persistent, durable identifier that confirms who someone actually is. Marketing: Reaching the right person across email, mail and digital channels. Email intelligence reveals which addresses are actively engaged and reachable. Research shows email remains one of the highest-ROI marketing channels outperforming paid search and social advertising1. The problem every marketer faces: You end up burning budget on addresses that bounce, are unmonitored or are associated with users who never open mail. For credit marketing specifically, email enables faster, more targeted delivery of firm offers across channels, something that's increasingly important in a post-cookie world. "Email is a persistent identifier in a fragmented world. It's what connects a person's postal address, phones, devices, behaviors—the full picture of who they are. By embedding that into our infrastructure, we're not just adding another data point. We're fundamentally improving how businesses understand who their customers are."- Ashley Knight, Senior Vice President, Financial Services and Data Why now? AI is reshaping how decisions are made in every industry. Models are getting faster, more automated and more embedded in core workflows. But AI is only as effective as the data behind it. Fragmented data + fast models = faster, larger-scale misclassifications. In an era of synthetic identities, AI agents, deepfakes and AI-generated activity, the value of durable, persistent, real-world data signals has increased dramatically. Deloitte’s Center for Financial Services projects that generative AI could drive fraud losses in the U.S. up to $40 billion by 2027, a 32% growth rate since 2023. And email sits at the center of it with business email compromise already being one of the most common and costly fraud types. People change phones, move homes and swap devices, but they often hold onto their email for years. That's the signal that protects your business, and the one we've built into the core of how we help you make decisions with confidence. View the press release here

August 6, 2026 by Zohreen Ismail
Building Financial Opportunity Through Purpose-Driven Partnership

Discover how the National Urban League and Experian partner to expand financial literacy and create economic opportunity.

August 6, 2026 by Scarlet Nickel
2026 U.S. Identity and Fraud Report 

Explore key findings and insights from our newly released 2026 U.S. Identity and Fraud Report. Read more now!

August 5, 2026 by Laura Burrows

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