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

AI ran 10,000 XRP price simulations for 2026. Base range: $1.04-$3.40 (60% probability). Best case: $6+. Worst case: below $0 ...

Discover the methods that companies use for forecasting oil prices, including calculus, econometrics, and market influences like OPEC and futures trading.

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

Introduction: City-scale rainfall prediction is crucial for various essential services, such as transportation, supply chain logistics, and leisure activities, as well as for preventing risks ...

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 rising anthropogenic demand for water and increased variability of water levels is a challenge for lakes across North America. Many terminal lakes in the Great Basin struggle in the face of ...

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

Abstract: Investors are inclined to predict stock values, and conventional studies indicate that using machine learning (ML) for stock price prediction is the most effective method. This study focuses ...