Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock insights to reduce risk and enhance decision-making.

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 ...

The global reinsurance broker Guy Carpenter, a partner to @Nasdaq and user of the Nasdaq Risk Modelling for Catastrophes service, continuously develops new catastrophe risk models. Mark Weatherhead, ...

The LIFE-T1D model, demonstrated an ability to estimate the lifetime risk of heart disease among several groups of people with type 1 diabetes (T1D). Researchers have developed a tool they say can ...

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 ...

Ruin theory has emerged as a pivotal branch of actuarial science, offering a robust mathematical framework to quantify the risk of insolvency in both insurance and financial contexts. At its core, the ...

Just because a critical failure hasn’t happened yet doesn’t mean it won’t happen in the future. The question becomes: If it ...

How AI Is Integrating Fire Prevention Into Modern Security Service Models Fire prevention is no longer treated as a ...

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.

In the housing market, consumers need more tools to assess risks from climate change. As insurers improve their risk ...