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The Annals of Applied Probability· 2026Q1

The two square root laws of market impact and the role of sophisticated market participants

Bruno Durin, Mathieu Rosenbaum, Grégoire Szymanski

Short summary

Market impact of a metaorder scales with the square root of traded volume for a given participation rate, and is proportional to participation rate (gamma) for large gamma, with smaller gammas showing a more linear dependence.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Market impact scales with the square root of traded volume for a constant participation rate.
  • Market impact is proportional to participation rate (gamma) for large gamma.
  • Smaller participation rates exhibit a more linear relationship with market impact.
  • The model incorporates sophisticated traders with superior market analysis skills.

AI-generated from the title and abstract; the full text is not read.

Abstract

The goal of this paper is to disentangle the roles of volume and of participation rate in the price response of the market to a sequence of transactions. To do so, we are inspired the methodology introduced in (Quant. Finance 15 (2015) 1123–1135; Math. Finance 30 (2020) 1309–1336) where price dynamics are derived from order flow dynamics using no arbitrage assumptions. We extend this approach by taking into account a sophisticated market participant having superior abilities to analyse market dynamics. Our results lead to the recovery of two square root laws: (i) For a given participation rate, during the execution of a metaorder, the market impact evolves in a square root manner with respect to the cumulated traded volume. (ii) For a given executed volume Q, the market impact is proportional to γ, where γ denotes the participation rate, for γ large enough. Smaller participation rates induce a more linear dependence of the market impact in the participation rate.

The authors' abstract, as published at the source. The Annals of Applied Probability, 2026 · DOI ↗

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Field: Economics and Econometrics

Economics and EconometricsEconomics, Econometrics and Finance