On the surface, the spate of bank failures that embroiled the financial sector last spring had little in common with the global financial crisis from a decade and a half ago.
The 2008-era meltdown stemmed from toxic mortgage debt on the balance sheets of globally entwined behemoths. In contrast, the Federal Deposit Insurance Corp. seized Silicon Valley Bank and Signature Bank in March and First Republic Bank in May — with even uninsured depositors being protected in all three failures — largely because they were ill-prepared for the Federal Reserve's rate hikes.
But look closer and both crises highlight a common problem: the regulators' lack of complete, real-time information about the condition of the banks they oversee. During the 2008 crisis, it was the lack of off-balance sheet
The epicenter of this problem is the
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It doesn't have to be this way. Through the power of digital technology and artificial intelligence, regulators around the world could revolutionize the call reporting process, and in some cases, they are already doing so. A rapidly developing market of regulatory technology (Regtech) providers offer data formatting and aggregation solutions that allow banks and regulators to exchange vast amounts of up-to-the-minute information.
Regulatory agencies in several countries have begun to establish
The release of two malicious language models — WormGPT and FraudGPT — demonstrate attackers' evolving capability to harness language models for criminal activities.
If such mechanisms had been in place earlier this year, the Federal Reserve, FDIC and other agencies may have had better insight into the contagion risk that grew at the banks that ultimately failed. That risk evidently can escalate, literally overnight, with social media-driven bank runs and instant electronic withdrawal of funds. More information and timelier information could have given regulators more options to respond. Looking forward, a digitized reporting regime could be crucial in preventing the next crisis.
The failures this past spring also called into question whether regulators had sufficiently timely data about the institutions' uninsured deposits, which were high in all three of the banks that collapsed. Working over the weekend after closing SVB, they didn't know whether and how uninsured funds might be moving through the banking system as depositors sought institutions they perceived to be safe, especially those considered "too big to fail." If the agencies had declined to cover uninsured accounts, they might have triggered domino effects that they could not fully anticipate and address. Several U.S. banks
The aim of DRR systems is to digitize financial information so that it can be reported with less cost and effort by the industry, and can be obtained by regulators — with necessary controls and limitations — at a moment's notice and in real time.
In the U.S., the
Speaking in June at the Point Zero summit in Zurich, MAS Managing Director Ravi Menon likened regulators' current risk reports to driving a car with dials that show how fast you were driving in the past, but not your actual speed. Digital financial reporting regimes would give bank regulators the ability to respond to risks with the same speed and accuracy of a physician conducting an emergency room X-ray.
The emergence of generative AI is also creating a chance to simplify implementation of DRR, since newer systems can increasingly ingest unstructured data. Regulators should assess the feasibility of getting better information, without having to require financial companies to revamp how they manage their own systems.
With more innovative reporting tools, regulators would know about dire trouble at a financial institution before it hit the airwaves of social media and before depositors ran for the doors. In an age when digital technology can move money and propel risks at lightning speed, revamping the financial reporting process would allow regulators to be first on the scene with a solution to save an ailing bank from failure.