Clear assumptions: explanatory vs forecasting

Marcos López de Prado, PhD and Vincent Zoonekynd, PhD, of Abu Dhabi Investment Authority discuss their Research Foundation brief, Causality and Factor Investing: A Primer. They explore why many factor models fail, the risks of confounder and collider bias, and why factor investing requires a causal—not purely statistical—approach. Learn how causal graphs and theory-driven methods can improve attribution and model design. A must-watch for quantitative researchers and finance professionals seeking deeper insights into risk premia and robust factor modeling.