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 ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
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 ...
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 ...
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What impressed judges was not only the sophistication of the underlying models, but also Bloomberg’s consistent demonstration ...
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, ...
Translational modelling has emerged as a critical approach in environmental health and pharmacology, offering new pathways to predict human health risks ...
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 ...
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