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Quantitativeanalysis will change investing strategy Gartner predicts that by 2025, the AI- and data-science-equipped VC or PE investor will become commonplace.
The simulation technology enables the automated recognition of a significant event in quantitativeanalysis, enabling entities to simulate more complex scenarios. In its announcement, Barclays explained that agent-based modeling differs from regression-based models, which rely on historical behavior data analysis.
It involves researching and collecting data on current trends in various domains such as technology, demographics, economics, politics, and social factors. This approach provides a more data-driven and quantitative perspective on the future but may overlook discontinuities or unexpected events.
There are a lot of technologies that people use that we use. You know, some of those technologies can include having multiple signals and multiple time horizons. RITHOLTZ: You guys do everything from quantitativeanalysis to macro. But you know, we have a lot of technology to support all of that. TROPIN: Yeah.
Railways were this revolutionary technology that was going to change the world, going to change civilization, the speed with which people — roughly at the same time, remember Mary Meeker of Morgan Stanley — RITHOLTZ: Sure. CHANCELLOR: Exactly. But also, you could see these parallels. The government debt relative to GDP came down.
They were both steeped in technology. Is this the, is AI what’s driving, Hey, you gotta look past, past Nvidia and past the magnificent seven to who are gonna be the beneficiaries of all this new technology? It was unclear how anybody was gonna make their living. My parents were both in high tech. Yes, I know.
So I was hired to be the quantitative analyst. Quantitativeanalysis was really starting to gain momentum and everybody thought they needed a quant of one form or another. So obvious question, it’s 1990, technology is about to explode, how do you help a value manager short of saying, psst, go buy growth?
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