When estimating prices from sparse movement data, most uncertainty comes from which price trajectory could have occurred, not from fitting a single trajectory—and standard statistical methods don't capture this.
This paper analyzes estimation uncertainty in short pricing datasets where few distinct price movements occur despite many observations. Using simulated data, the author shows that most estimation error (97.6%) comes from variation across different possible price trajectories rather than uncertainty within a single trajectory.