Understanding the Terms of Banking Risk Measurement

The banking sector sometimes refers to the concept of a “mousetrap” to describe a method that processes data from accounts and supervisory interests. The idea is that this technique offers a more accurate assessment of a bank’s failure risk compared to the traditional capital ratio derived from account data.

This term nods to Ralph Waldo Emerson’s saying about building a better mousetrap and the expectation that success will follow. It’s somewhat ironic, really, because it implies that the diligent researchers in central banks often create these metrics, only to find that front-line supervisors overlook them. No matter how effective a mousetrap might be, its effectiveness often goes unchallenged.

Take a recent blog entry from the New York Fed, titled Economic capital: a better measure of bank failure? If you’ve read similar materials, its essence is strikingly familiar.

A thorough examination of this topic would indeed include visuals demonstrating how newly introduced measures could enhance early warnings during recent high-profile banking incidents.

This blog links to an extensive report detailing their methodology. While it presents a compelling approach, it also grapples with significant challenges that often lead to failures in similar assessments.

The rationale behind developing this counters is genuine; the issues it aims to resolve are legitimate. Accounting typically offers a historical perspective, and the straightforward idea of using market values instead of book values often proves impractical.

Recent research underscores that credit markets can be particularly unstable and unpredictable, complicating our attempts to rely on them during crisis times. Some propose leveraging stock analyst forecasts instead, but this often leads down the path of questioning the analysts’ reliability.

Essentially, the economists at the Fed are crafting a detailed guide for developing discounted cash flow models that consider various factors beyond just interest rates and credit sensitivities. They also look into the advantages of having below-market rate deposits and the associated costs of maintaining such a banking franchise.

This effort aims to arrive at a more truthful economic measure that should, theoretically, provide better insights than historical book capital figures. However, it’s important to recognize that certain aspects are overlooked.

For instance, the analysis disregards the potential revenue from fee income generated by asset management for a more conservative outlook. This might seem logical at first, but in reality, the asset management business often provides a more substantial value than most items on a balance sheet. Take Barclays, which managed to recapitalize by divesting its asset management unit during the financial crisis.

While the “economic capital” approach may have alerted us to some risky behavior at Silicon Valley Bank, its collapse was somewhat atypical for the broader banking landscape. Typically, banks fail not solely based on what’s visible on their accounts; the accounts can be misleading, failing to depict the underlying realities accurately. There’s no true substitute for a supervisor who comprehends the bank’s operational model, is prepared to make tough calls when necessary, and isn’t overridden by higher-ups.

This means that supervisors don’t always derive much value from economic capital measures. They often just provide a more complex version of familiar insights.

Supervisors who need this kind of guidance are usually the ones who don’t really understand the business model in the first place. However, from a marketing perspective, it’s tough to promote a product that essentially says, “This is useful if you don’t know what you’re doing.”

This phenomenon explains why many mousetrap initiatives do not succeed. Following their guidelines can help estimate a good portion of the risk factors affecting banks and allow for regular updates on economic capital trends. Still, the challenge remains in discerning the significance of those changes and connecting them to actual risks, and there’s often little to no receptiveness to these discussions.

It brings to mind a story about Laurence Olivier, who stayed awake for three days to embody a character in Marathon Man. When he sought advice, someone suggested simply acting instead, as it would be much easier.

Regrettably, most mousetrap projects face the issue that capable bank supervisors find them unnecessary, while ineffective ones show little interest.