Skip to content
DraconiticResearch
Search Sources API
197,693 studies31 sourcesUpdated 23 min ago
PreprintarXiv licencearXiv

Calibration of Passive Market Impact with a Queue-Sensitive Propagator Model

Abstract

We develop a framework for calibrating passive market impact, defined as the price response to liquidity-providing limit orders, in contrast to the impact of liquidity-consuming market orders. We build on the model of Ouazzani Chahdi, Rosenbaum, and Szymanski (arxiv:2412.07461), which combines Hawkes-driven market-order flow with queue-reactive limit-order and cancellation dynamics. Within this model, we show that the price decomposes into a universal propagator term driven by signed order-flow imbalance and a state-dependent correction that captures the dependence of price sensitivity on volume at the best quotes. This decomposition links limit-order-book microstructure to standard propagator models and yields a regression on two observable signals: the propagator signal and the queue-weighted order-flow imbalance. We calibrate the model on high-frequency order-book data and find that the passive-impact term explains substantial variation in prices beyond the classical propagator, improving both model fit and the accuracy of predicted impact curves.

Related

  1. Event-Time Order-Flow Memory, Operational-Time Impact, and Subordinated Market Observables
    Christopher Angstmann, Tim Gebbie
    arXivPreprintarXiv licenceFull textMathematical physicsStatistical & nonlinear physicsarXiv
  2. Mean-field equilibrium of heterogeneous agents under market impact
    Joseph Leclère, Mathieu Rosenbaum
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  3. Endpoint maximal estimates for the half-wave propagator
    Bowen An, Wenjuan Li, Huiju Wang
    arXivPreprintarXiv licenceFull textAnalysis & PDEsarXiv
  4. Continuity properties of the Laguerre operator and its propagator
    Smiljana Jakšić, Nenad Teofanov, Đorđe Vučković
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsarXiv
  5. Spectral Density of the Causal Propagator
    Joshua Y. L. Jones, Yasaman K. Yazdi
    arXivPreprintarXiv licenceFull textAnalysis & PDEsMathematical physicsarXiv
BibTeX
@misc{hafsi2026calibration,
  title = {{Calibration of Passive Market Impact with a Queue-Sensitive Propagator Model}},
  author = {Yadh Hafsi and Fabrizio Lillo and Grégoire Szymanski},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.38442},
  eprint = {2610.38442},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.38442},
}
RIS
TY  - UNPB
TI  - Calibration of Passive Market Impact with a Queue-Sensitive Propagator Model
AU  - Yadh Hafsi
AU  - Fabrizio Lillo
AU  - Grégoire Szymanski
PY  - 2026
DA  - 2026/10/28
PB  - arXiv
DO  - 10.48550/arxiv.2610.38442
UR  - https://arxiv.org/abs/2610.38442
AB  - We develop a framework for calibrating passive market impact, defined as the price response to liquidity-providing limit orders, in contrast to the impact of liquidity-consuming market orders. We build on the model of Ouazzani Chahdi, Rosenbaum, and Szymanski (arxiv:2412.07461), which combines Hawkes-driven market-order flow with queue-reactive limit-order and cancellation dynamics. Within this model, we show that the price decomposes into a universal propagator term driven by signed order-flow imbalance and a state-dependent correction that captures the dependence of price sensitivity on volume at the best quotes. This decomposition links limit-order-book microstructure to standard propagator models and yields a regression on two observable signals: the propagator signal and the queue-weighted order-flow imbalance. We calibrate the model on high-frequency order-book data and find that the passive-impact term explains substantial variation in prices beyond the classical propagator, improving both model fit and the accuracy of predicted impact curves.
ER  -