3.8 Monte Carlo Estimation Methods

This article explores how different estimation methods (Sample Mean, Exponentially Weighted, Median, etc.) influence Monte Carlo outcomes. It shows how changing these methods impacts your forecast results using the same portfolio. Two practical cases are highlighted: one prioritizes recent trends (exponentially weighted), and the other focuses on robust stats to reduce outlier impact (median-based methods). Results vary greatly, showing why method choice matters.