The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...

A new study, co-authored by Dr. Benjamin Hohermuth of Schroders Capital, alongside researchers from ETH Zurich, MeteoSwiss, ...

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...

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 ...

Bloomberg today announced that Mackenzie Investments, one of Canada's leading investment firms with approximately $265 billion in assets under management (as of May 31, 2026), has implemented ...

RBI has proposed a draft Model Risk Management Framework requiring banks and financial institutions to set up board-approved ...

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 ...

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 ...

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 ...

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Some of America's largest home insurers are pricing wildfire risk at dramatically different levels of precision - and the gap ...