Market Impact Estimation via Causal Foundation Models

A proof-of-concept Causal Market Simulator, a continuous-time causal prior-data fitted network trained on a synthetic market prior with confounding strength as an exact per-episode knob, tracks the unbiased true-parameter oracle at high confounding while the naive estimator's bias reaches up to 68% overestimation.