In modern electronic markets, execution at millisecond horizons requires
fast, state-conditional probabilities for price moves and passive fills. This creates a
need for models that are both computationally tractable and directly interpretable in
execution settings. We study whether the semi-analytical framework of Cont, Stoikov,
and Talreja (CST) can provide such signals in Brazilian equities. First, we present the first
CST-based analysis of latency effects in this market, incorporating reaction delays into
market-making probabilities. Second, we assess CST adherence by comparing model-
implied and realized event distributions. We also introduce the BTG-OBD-A26 dataset,
a reproducible message-level order-book-dynamics dataset for Brazilian equities. Our
results show that the CST framework captures directional and fill probabilities reasonably
well, whereas the latency extension is less accurate because the model does not capture
temporal clustering in order flow.
Comissão Organizadora
Comissão Científica