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19932026
most citedNoise Dressing of Financial Correlation Matrices

1.3k citations · 18.6k across the 289 of their papers we have counts for

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q-fin.TR2026

Is Trend Still Your Friend?: A Microstructural Account of the Demise of Short-Term Trend-Following

Jutta G. Kurth, Zoltan Eisler, Adam Rej +1

Systematic trend following has, on average, been profitable for at least two centuries; yet since approximately 2009, short-term trends have ceased to deliver reliable returns. Usi…

q-fin.TR2025

Stationary Distributions of the Mode-switching Chiarella Model

Jutta G. Kurth, Jean-Philippe Bouchaud

We derive the stationary distribution in various regimes of the extended Chiarella model of financial markets. This model is a stochastic nonlinear dynamical system that encompasse…

q-fin.TR2025

Multivariate Quadratic Hawkes Processes -- Part II: Non-Parametric Empirical Calibration

Cecilia Aubrun, Michael Benzaquen, Jean-Philippe Bouchaud

This is the second part of our work on Multivariate Quadratic Hawkes (MQHawkes) Processes, devoted to the calibration of the model defined and studied analytically in Aubrun, C., B…

q-fin.TR2025

The Subtle Interplay between Square-root Impact, Order Imbalance & Volatility II: An Artificial Market Generator

Guillaume Maitrier, Grégoire Loeper, Jean-Philippe Bouchaud

This work extends and complements our previous theoretical paper on the subtle interplay between impact, order flow and volatility. In the present paper, we generate synthetic mark…

q-fin.TR2025

The Subtle Interplay between Square-root Impact, Order Imbalance & Volatility: A Unifying Framework

Guillaume Maitrier, Jean-Philippe Bouchaud

In this work, we aim to reconcile several apparently contradictory observations in market microstructure: is the famous "square-root law" of metaorder impact, which decays with tim…

q-fin.TR2025

Revisiting the Excess Volatility Puzzle Through the Lens of the Chiarella Model

Jutta G. Kurth, Adam A. Majewski, Jean-Philippe Bouchaud

We amend and extend the Chiarella model of financial markets to deal with arbitrary long-term value drifts in a consistent way. This allows us to improve upon existing calibration…