In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Driven Financial Analysis, Time-Series Analysis, Financial Market Infrastructure Farzaliyeva, A. (2026) Data Infrastructure and the Evolution of Financial Analytics in the U.S. FinTech Ecosystem.

AI scenario planning doesn’t attempt to be “right” in the traditional forecasting sense. Its real value lies in systematic ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

The vast majority of asset management companies today use model portfolios. One question we’ve been asked many times is whether ValuEngine stock ratings can be used for portfolio management or merely ...

Forbes contributors publish independent expert analyses and insights. I write about men in tights & the billions they make for men in suits. WWE Survivor Series 2025 emanates from Petco Park in San ...

Four years ago, a security incident sent our engineering team on a new course: After the scramble of gathering logs and getting more frustrated with the limited visibility that comes with ...

MONTREAL--(BUSINESS WIRE)--Indero is proud to announce the successful completion of an internally funded study that introduces a novel approach to evaluating topical new chemical entities (NCE) in ...