Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock ...

This article was written by Antonios Lazanas, Head of Portfolio and Index Research at Bloomberg. Modern risk modelling is not just about monitoring risk. Sure, the specialists who manage risk are ...

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 ...

NEWARK, Calif.--(BUSINESS WIRE)--RMS ®, a Moody’s Analytics company and world-leading risk modeling and solutions company, today announces it will be releasing four new High Definition™ (HD) models, ...

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 ...

The underwriting for cyber risks used to be a practice grounded in analysing historic data sets. Considering the relatively newer nature of the risk, this model provided clarity but couldn’t factor in ...

The gap between AI and traditional risk modelling is substantial. Traditional models often fall short when dealing with complex, non-linear relationships. In contrast, AI models thrive in detecting ...

Banks and their service providers have relied heavily on the prior guidance, originally a joint OCC-Fed issuance from 2011 that was later adopted by the FDIC in 2017, in developing and deploying ...

The Financial Industry Regulatory Authority (FINRA) recently published a transparent description of how it assesses member-firm risk and uses those results to plan and tailor examinations. This ...