Austrian economists have long criticized using mathematics to undergird economic analysis. It is time to apply that same ...

Quantitative trading relies on a data-driven approach using mathematical models to analyze market behavior. Instead of relying on instinct or opinion, it uses measurable signals based on statistics ...

The AI revolution has transformed behavioral and cognitive research through unprecedented data volume, velocity, and variety (e.g., neural imaging, ...

Known as the oldest form of trade, commodity assets have been used for decades to stabilize markets and help governments maintain global dominance. Oil, agricultural yields, and other commodities have ...

Helios, a quantitative asset management firm that provides outsourced chief investment officer services to advisors, announced this week that it started integrating machine learning into its custom ...

Few people understand the rise of quantitative financial techniques, and their limits, as well as Emanuel Derman does. The South African–born scientist earned a Ph.D. in theoretical particle physics ...

SandboxAQ has announced a collaboration with Nvidia to combine its large quantitative models (LQMs) with the Nvidia CUDA-accelerated Density Matrix Renormalization Group (DMRG) algorithm. According to ...

EXTRACT ADVISORS applies real-time quantitative execution frameworks to active discretionary portfolios UNITED STATES, ...