Inverse residual variance (IRV) weighting reduces noise and improves factor performance. Country and industry betas replace ...

Banks could give investors a clearer view on how they manage risks, such as those associated with changing interest rates, ...

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 ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Target date funds require modernization, as their 'set it and forget it' approach limits participant engagement and may ...

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 ...

Conclusions: This claims-based risk model can predict the likelihood of first severe COPD exacerbation. The CTR could also potentially be used to target populations at greatest risk for severe ...

An image-only artificial intelligence (AI) model recently authorized by the FDA conferred more precise risk stratification in ...

National Grid collaborates with Rhizome to deploy AI technology that identifies and helps prevent wildfire risks through ...

Zillow, the nation’s largest real estate listing website, has removed extreme weather risk data meant to help buyers figure out if the biggest purchase of their life is particularly susceptible to ...

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 ...