Mechanism underlying square-root impact of single market orders

Establish a rigorous mechanistic explanation for why the average impact of a single market order of size q—measured as the expected signed change in the mid-price after sufficient digestion/relaxation time—scales as the square root of q, and determine whether the hypothesized explanation based on a locally linear latent order book and subsequent “hot potato” dynamics among liquidity providers quantitatively accounts for this scaling.

Background

The paper shows that the well-known square-root market impact law for metaorders emerges from microstructural behavior: individual child orders already exhibit square-root impact in their volume, and the cumulative effect across a metaorder arises via an inverse square-root decay over time. This supports a largely mechanical origin of impact rather than an informational one.

In the conclusion, the authors identify a central unresolved question: why does a single market order’s impact scale as the square root of its volume? They suggest a plausible mechanism—local linearity of the latent order book combined with a ‘hot potato’ redistribution among market-makers until a final counterparty is reached—which would imply an average price displacement proportional to sqrt(q). They note that further empirical validation using the JPX dataset (or similar) would be needed to confirm or refute this explanation.

References

While our results show that the square-root impact law does not emerge at the meso-scale but is already present at the micro-scale, they trigger new unanswered questions. In particular, why is the impact of single market orders of volume $q$ also a square-root?

— The "double" square-root law: Evidence for the mechanical origin of market impact using Tokyo Stock Exchange data  (2502.16246 - Maitrier et al., 22 Feb 2025) in Conclusion (Section 6)

Second, the fixed detection horizon of the numerical study makes terminal impact depend on the execution rate and gives a nearly flat path after a short transient, whereas elapsed-time thresholds give square-root growth in executed volume. A single specification with both properties is left open.

— A Generalized Langevin Model of Latent Liquidity and Concave Price Impact  (2609.37872 - Itkin, 29 Sep 2026) in Section 9, subsection “Discussion and conclusions,” third limitation

However, the theoretical interpretation of the SRIL is still much open to debate.

— On Bonart's interpretation of the Square-Root Impact Law  (2610.10053 - Bouchaud et al., 7 Oct 2026) in Section 1, Introduction