Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […] “In this “Corey Noles ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Cambodia is not alone in facing capacity limitations in the production and timely release of key official statistics needed for data-driven policy decisions. This paper demonstrates that combining ...

Business leaders can’t outsource mathematical thinking to AI without sacrificing judgment, because real-world business ...

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, ...

Climate news wasn’t great in 2025. Global greenhouse-gas emissions hit record highs (again). It’s set to be either the second ...

The S&P 500 is expected to continue its ascent in 2026, supported by a sequential macroeconomic thesis. Click here to read ...

Real estate is a fun new sector for the prediction market space—but how exactly will people use these markets?

AI might know where you're going before you do. Researchers at Northeastern University used large language models, the kind of advanced artificial intelligence normally designed to process and ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...