An Interpretable Structural-Break Forecasting Framework for Limited-Sample Quarterly Revenue Prediction: Evidence from Coca-Cola
Forecasting quarterly revenue during structural breaks remains challenging, particularly when only limited historical data are available and interpretability is required for business decision-making. This study proposes an interpretable forecasting framework that integrates formal structural break detection, explicit b...