LOB-ID: Evaluating Synthetic Market Data by Inception Distances
This work introduces LOB-ID, an embedding-based framework that adapts the Fr\'echet Inception Distance and Monge Inception Distance to LOB data, and scores five generative LOB models, spanning stochastic baselines and deep learning approaches, and finds that LOB-ID ranks them in line with the joint temporal and cross-l...