This section outlines a two-stage calibration of an agent-based financial model using surrogate modeling and grid search. The XGBoost-based surrogate helps identify optimal parameters by minimizing stylized facts distance. Visual and empirical validation confirm the model’s ability to reproduce realistic mid-price dynamics.
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