2026/01/30 by Johannes Muhle-Karbe, Youssef Ouazzani Chahdi, Mathieu Rosenbaum +1 · 2 voices · 1 citation
Economics, Econometrics and Finance · Mathematics · #q-fin.ST #math.PR #q-fin.MF #q-fin.TR #stat.AP
arxiv published 2026/01/30 · arxiv updated 2026/02/02
We propose a microstructural model for the order flow in financial markets that distinguishes between \it core orders and \it reaction flow, both modeled as Hawkes processes. This model has a natural scaling limit that reconciles a number of salient empirical properties: persistent signed order flow, rough trading volume and volatility, and power-law market impact. In our framework, all these quantities are pinned down by a single statistic H0, which measures the persistence of the core flow. Specifically, the signed flow converges to the sum of a fractional process with Hurst index H0 and a martingale, while the limiting traded volume is a rough process with Hurst index H0-1/2. No-arbitrage constraints imply that volatility is rough, with Hurst parameter 2H0-3/2, and that the price impact of trades follows a power law with exponent 2-2H0. The analysis of signed order flow data yields an estimate H0 ≈ 3/4. This is not only consistent with the square-root law of market impact, but also turns out to match estimates for the roughness of traded volumes and volatilities remarkably well.