Abdullah Kumas

Learning Whom to Trust: Machine-Learning Aggregation of Analyst Earnings Forecasts

Analyst consensus forecasts are widely used in investment decisions and as proxies for market expectations, yet they typically assign equal weight to component forecasts despite predictable differences in quality. We develop a constrained machine-learning framework that predicts each forecast’s relative quality from 29...