The final, formatted version of the article will be published soon. This study explores the potential of prospective qualitative methods, specifically the combination of the Delphi technique and ...

Add Yahoo as a preferred source to see more of our stories on Google. Barberton City Schools is investigating what caused its outgoing treasurer to provide flawed financial forecasts that led ...

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...

A corporate-grade FP&A forecasting simulator that generates deterministic, auditable 36-month financial projections using transparent business drivers. Built for FP&A analysts, finance teams, and ...

Neel Somani, a researcher and technologist with a strong foundation in mathematics, computer science, and business from the University of California, Berkeley, approaches financial forecasting as a ...

To successfully enter an international market takes far more than instinct. It demands time, disciplined research, and a strong understanding of the economic, competitive, and consumer forces shaping ...

Abstract: Financial time series forecasting is challenging due to market volatility, nonlinearity, and noise. Accurate predictions require capturing both short-term fluctuations and long-term trends.

Imagine a future where Artificial Intelligence (AI) can forecast medical conditions years before any symptoms appear. What once seemed like fiction is now becoming real. Developed recently, Delphi-2M ...