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, ...

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Effective risk attribution should be directly aligned with the underlying investment process to ensure relevance and actionable insights. Our research demonstrates how risk attribution can be aligned ...

Race-aware models improve statistical calibration but offer modest clinical utility gains, especially in underrepresented groups. Race-unaware models show significant miscalibration, underestimating ...

Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI.

Boards formally treat model risk as important, but in practice many banks treat it as a compliance box-ticking exercise that only attracts senior attention when something visibly breaks or a regulator ...

Join us for a deep dive into the world of factor risk models, the essential tools for predicting portfolio volatility, optimising your investments, and understanding risk and return. This webinar will ...

A review that examined fall risk assessment tools for hospitalized older adults was somewhat inconclusive. Because of data limitations in the studies assessed, it was not clear which tools work best.

Researchers validated the performance of the PREDICT-HFpEF tool in the FINEARTS-HF trial (2020-2023), which assessed the efficacy and safety of finerenone in patients with HFmrEF/HFpEF. A total of ...