Risk modeling comes in varying shapes and sizes throughout the financial world. Having previously worked as a derivatives trader on the Chicago Board Options Exchange and as a senior risk analyst, I ...

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 ...

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 ...

Just because your firm can use your existing data for AI risk modelling doesn’t mean you should. There’s a perception that AI can create accurate predictions based on any data set. That’s not always ...

Societal efforts to understand and mitigate threats posed by hazards are often informed by complex disaster risk models. Despite research demonstrating the disproportionate effects of disasters on ...

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 ...

JBA’s new Global Flood Model, enabling probabilistic assessment and quantification of flood risk for 99.98% of the world’s landmass for the first time, has recently been released on the new Nasdaq ...

The MITRE ATT&CK framework, launched in 2015, has become the de facto method for cataloging attacks and understanding an organization's defensive capabilities. This information is also useful to risk ...