Artificial intelligence (AI) and machine learning (ML) are now embedded in the core of banking — powering decisions in credit, fraud, anti-money laundering (AML), and more. These systems bring scale ...

We explore the question of optimal aggregation level for stress testing models when the stress test is specified in terms of aggregate macroeconomic variables, but the underlying performance data are ...

The Federal Reserve put forth a proposal Friday to publish the models and methodologies the central bank uses every year to stress test the nation's largest banks in an effort to increase transparency ...

In today’s dynamic global economy, financial institutions are increasingly confronted with uncertainties that defy historical precedent. Traditional stress testing long reliant on past market data ...

With over a decade of experience in risk management and compliance, you’ve witnessed many changes in the financial services industry. Let’s dive straight into today’s topic: How has technology ...

The following information was released by the American Bankers Association: The Federal Reserve issued a significant proposal today to improve the accuracy and transparency of its stress testing ...

The Federal Reserve has opened the door to completely revealing its back-end stress-testing models used to test the largest U.S. banks' resilience under economic pressure in a proposed rule published ...

The associations commend the Fed for, for the first time, publishing its proposed 2026 stress test scenarios for public comment and for articulating a more detailed scenario design policy, including ...