Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. It's easy to forget that beneath the surface of every smart ...

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 ...

The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance ...

Supply chain forecasting is becoming an increasingly critical component of operational success. Accurate forecasting enables companies to optimize inventory levels, reduce waste, enhance customer ...

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 ...

My print column examines the proliferation of statistical forecasting models for the Academy Awards, which will be handed out on Sunday night. After quantitative predictions did well in forecasting ...