Ferdinantos Kottas

Do Daily Adaptive Machine Learning Stock Rankings Survive Trading Costs? Evidence from Cross-Sectional Technical Signals

This study examines whether daily machine learning stock rankings based on technical information contain out-of-sample ordering information and whether that information can be converted into economically implementable returns. Using a dynamically screened Nasdaq source universe from 2021 to 2026, four XGBoost objective...