Informed Trading model with quantum walks
Abstract
The seminal Kyle model offers a framework to understand the price impact of an informed trader in a market model for a single asset. We study variants in which the asset's future value is modeled by a classical random walk and by a continuous-time quantum walk, respectively. With these assumptions, we analytically approximate and numerically identify the market equilibrium between risk-neutral market maker and informed trader. In the classical equilibrium, the informed trader possesses a linear strategy, whereas the market maker's pricing rule resembles a logistic curve. The informed trader's profit is also identified to grow sub-linearly with time t. In the quantum equilibrium, the informed trader's strategy forms multiple clusters and the pricing rule exhibits multiple jumps correspondingly. Despite the increasing non-linearity of the equilibrium, the informed trader's profit grows linearly with time t.
Related
- Spectral Criterion for Disorder-Free Localization of Quantum Walks on Hypercube: QBN Approach
- Harmonic Reduction of Spin-Coupled Grover Walks on Hypercubes via Quantum Bernoulli Noises
- Simplification Rules for Continuous-Time Quantum Walks on Dynamic Graphs
- Exact diffusion coefficients for quantum--classical hybrid walks
- Elfs, transducers and quantum walks
BibTeX
@misc{liew2026informed,
title = {{Informed Trading model with quantum walks}},
author = {H. W. Shawn Liew and Patrick Rebentrost},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.06779},
eprint = {2610.06779},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.06779},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Informed Trading model with quantum walks
AU - H. W. Shawn Liew
AU - Patrick Rebentrost
PY - 2026
DA - 2026/10/05
PB - arXiv
DO - 10.48550/arxiv.2610.06779
UR - https://arxiv.org/abs/2610.06779
AB - The seminal Kyle model offers a framework to understand the price impact of an informed trader in a market model for a single asset. We study variants in which the asset's future value is modeled by a classical random walk and by a continuous-time quantum walk, respectively. With these assumptions, we analytically approximate and numerically identify the market equilibrium between risk-neutral market maker and informed trader. In the classical equilibrium, the informed trader possesses a linear strategy, whereas the market maker's pricing rule resembles a logistic curve. The informed trader's profit is also identified to grow sub-linearly with time t. In the quantum equilibrium, the informed trader's strategy forms multiple clusters and the pricing rule exhibits multiple jumps correspondingly. Despite the increasing non-linearity of the equilibrium, the informed trader's profit grows linearly with time t.
ER -