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

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

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 ...

Indra Reddy Mallela has been at the forefront of financial risk model validation, continuously pushing the boundaries of ...

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

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

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

Zillow will no longer display climate risk data on individual home listings, quietly setting off a skirmish between popular ...

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 ...

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

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 ...