The field of economic models and forecasting encompasses the development and application of theoretical, empirical and computational frameworks to predict future economic outcomes. These models range ...

NOAA’s Climate Prediction Center released its latest ENSO Diagnostic Discussion on March 12, noting a transition from La Niña conditions and increasing odds that El Niño will develop later this year.

We develop methodology to bridge scenario analysis and risk forecasting, leveraging their respective strengths in policy settings. The methodology, rooted in Bayesian analysis, addresses the ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

Explore financial forecasting's importance in strategic decision-making, its methods, modern techniques, applications, and inherent challenges.

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Researchers from the European Central Bank, European Stability Mechanism, and Universität Bonn propose a new forecasting method called parametric tilting that helps economists incorporate new ...

These events remain relevant largely because they occurred during an extended period of geopolitical stability that ran from the late 1990s through to the early 2020s. When shocks did occur, they ...

Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

Suggested Citation: "3 Forecasting Eruptions." National Academies of Sciences, Engineering, and Medicine. 2017. Volcanic Eruptions and Their Repose, Unrest ...