Tanmay approached forecasting as a system design problem. The goal was to produce decision-ready forecasts at portfolio scale ...

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

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Researchers at the Federal Reserve recently published a paper on Kalshi's effectiveness in predicting certain economic ...

Quantitative finance continues to debate the reliability and limits of model-driven investment strategies. Read more here.

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

Climate change remains a great challenge to rural livelihoods in Sierra Leone, especially in agricultural communities that depend on climate-sensitive resources. Although indigenous knowledge has been ...

Explore the future of the global carbon black market with this comprehensive report, highlighting key growth opportunities in emerging segments like recovered, plasma-produced, and bio-based carbon ...

Kalshi says it's more than just betting and that it offers high-quality forecasts. Now, a research paper from a group of Federal Reserve economists is backing that up. The researchers found that ...