Pooled Information and Model Flexibility: Decomposing Machine-Learning Gains in Corporate Budgeting and Forecasting
Corporate financial planning and analysis (FP&A) is being reorganised around machine learning, yet the supporting evidence consists largely of vendor case reports using undefined accuracy measures. This study decomposes the machine-learning advantage into components that prior work bundles together—information recency...