BlackQC Lab studies where uncertainty comes from and what it does — the formal sources of not-knowing, their measurement in financial markets and commodities, and the dependencies through which shocks propagate.
Knightian uncertainty, ambiguity and model misspecification behave differently from variance — and they show up hardest where markets are thinnest. We work on where uncertainty originates, how to measure it, and how it travels between assets, commodities and economies.
Nodes are asset classes; edges are estimated dependence. Raise market stress and watch diversification disappear — correlations converge and tail linkage appears where the Gaussian view sees none.
Estimated on public market and commodity series. Every dataset, seed and failed specification is published alongside the result.
Our methods are model-agnostic and horizon-agnostic. We embed with desks and institutions whose exposures carry real downside.