Renaissance Technologies has used quantitative trading to great success, particularly with its Medallion Fund, which delivered a remarkable 66% average annual return from 1988 through 2018.

We develop a model of banking industry dynamics to study the quantitative impact of regulatory policies on bank risk-taking and market structure. Since our model is matched to U.S. data, we propose a ...

Objective This study aims to evaluate the time point and magnitude of peak effectiveness of exercise and the effects of various exercise modalities for osteoarthritis (OA) symptoms and to identify ...

A team of scientists has developed a remarkable new approach to modeling how cells behave over time—using a digital "forecast ...

Bitcoin’s Stock to Flow (S2F) model is one of the leading quantitative models that aims to predict the price of Bitcoin until 2026. Since the price of Bitcoin in the next three years is a matter ...

Using this information, we can calculate the stock's value using the Gordon Growth Model: $2.50 / (11% required return or 0.11 - 5% dividend growth rate or 0.05) = $41.67 ...

Google AI developed a deep learning language model called Minerva which could solve mathematical quantitative problems. Google AI researchers achieved a state-of-the-art deep learning model by trainin ...

OpenAI's o1 'reasoning' model sometimes switches to Chinese and other languages as it reasons through problems, and AI experts don't know exactly why.