Snapshots of From Correlation to Causation: Bayesian Networks and Probabilistic Graphical Models for Stress-Aware Diversification in Practice

Quickly apply original, key PMR-published papers with Snapshots—a short article companion that distills PMR research into compressed, digestible takeaways, so you can put the paper’s core ideas to work in your investment process—fast. This Snapshot article is based on research arguing that Bayesian networks provide a causal, probabilistic framework for identifying regime-dependent dependence, tracing shock transmission, and assessing whether portfolios are diversified across distinct causal pathways rather than merely across assets with favorable historical correlations.