Financial Resilience Under a Major Gold-Price Regime Shift: A Benchmark-Based Assessment of Machine Learning, Deep Learning, and Econometric Models
Machine-learning and deep-learning models are increasingly applied to financial-market forecasting, yet their reported accuracy is often measured in price levels and rarely tested against a stringent benchmark under changing market conditions. It therefore remains unclear whether added model complexity delivers genuine...