The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

Today, just over 100 days after the launch into production of the world first openly available 24/7 operational AI forecast model AIFS-Single, ECMWF (European Centre for Medium-Range Weather Forecasts ...

BOULDER, Colo. – OpenSnow, a trusted source for the most accurate U.S. weather forecasts, snow reports, and AI-powered weather maps, is launching first-of-their-kind new tools this winter that ...

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.

The ITU Journal on Future and Evolving Technologies continues its in-depth coverage of machine learning for 5G and future networks.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...