← 피드로
[Submitted on 24 Aug 2026]
Abstract:A large language model (LLM) trained on synthetic limit order book (LOB) data achieves near perfect scores in generating valid sequences of LOB events. However, the LLM’s implicit world model fails to learn the state of the LOB. This deficiency leads to biased estimates and spurious predictability in using the LLM to forecast future LOB events. Our analysis uses novel tests of an LLM’s world model, extending prior work from deterministic settings to the stochastic dynamics needed for the LOB.
Submission history
From: Junxiao Chen [view email]
[v1]
Mon, 24 Aug 2026 18:01:27 UTC (1,681 KB)
추출 본문 · 출처: arxiv.org · https://arxiv.org/abs/2608.23706