Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock ...

Inverse residual variance (IRV) weighting reduces noise and improves factor performance. Country and industry betas replace dummy variables for deeper, more accurate risk insight. PCA shrinkage ...

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 ...

AI is changing how we manage risk, but the real wins come from teams that use AI to look further ahead and still stay clear ...

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 ...

Over time, investment portfolios can drift away from their original allocation. This can happen for a range of reasons. A new fund manager could deviate from a fund’s original process. Fund managers ...

Forbes contributors publish independent expert analyses and insights. Monica Sanders covers climate justice and sustainability from the DMV. As climate change accelerates, so does the need for ...

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 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 ...

Some Chicago area hospitals are at risk of significant flooding both in and around the buildings, according to new KFF Health ...