Understanding market risk is necessary, but managing the pathway from recognition to response is what keeps farming operations in business.

Recent periods of financial stress and the proliferation of risks across the financial system are fueling the development of regulatory initiatives to strengthen requirements and promote international ...

In-depth analysis and peer practice for 10,000+ risk and compliance leaders. HQP benchmarking, LPEC certification, and the ...

Banks increasingly rely on complex AI models, but explainability has limits. This analysis examines model risk, regulatory ...

Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...

AI is moving deeper into banking controls. The bigger change may be a shift from periodic compliance and audit toward continuous, machine-assisted assurance.

Risk models at Credit Suisse had flagged the dangers before their $5.5 billion Archegos loss. Silicon Valley Bank's risk metrics showed clear warnings before their collapse. In both cases, ...

This piece is part of a series benchmarking bank model risk management practices. Risk Management subscribers can view selected cuts of the underlying data here. Sign up for Risk Benchmarking emails ...

Last year, I faced a harrowing experience that would change my perspective on healthcare forever. What began as an emergency surgery to combat a flesh-eating bacteria quickly turned into a nightmare.

Over time, investment portfolios can drift away from their original allocation. This can happen for a range of reasons. A new fund manager could deviate from a fund’s original process. Fund managers ...