activity
20242026
collaborators

24 papers

math.ST2026

Spectra of high-dimensional Spearman correlation matrices under scale-mixture dependence

Jean-Philippe Bouchaud, Pierre Bousseyroux, Tomas Espana +1

We study the asymptotic spectral properties of high-dimensional Spearman correlation matrices for scale-mixture data. We consider observations of the form $x_t=σ_t ξ_t \in \mathb…

econ.TH2026

Non-Equilibrium Economics: A Physicist's Point of View

Jean-Philippe Bouchaud

Financial and economic history is strewn with bubbles and crashes, booms and busts, crises and upheavals of all sorts. Understanding the origin of these events is arguably one of t…

physics.soc-ph2026

Resilient-to-Fragile Transition and Excess Volatility in Supply Chain Networks

David Martin, José Moran, Debabrata Panja +1

We study a production network in which firms use non-substitutable (Leontief) inputs, hold precautionary inventories and face idiosyncratic productivity shocks, with adjustment occ…

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.ST2026

A Nested Factor Model for Equity Markets: Reconciling Multifractal Stock Returns and Rough Index Volatilities

Othmane Zarhali, Cecilia Aubrun, Emmanuel Bacry +2

The Nested factor model was introduced by Chicheportiche et al. to represent non-linear correlations between stocks. Stock returns are explained by a standard factor model, but the…

q-fin.TR2026

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…