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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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Showing 2014Show all

13 papers · 1 filter

cond-mat.mtrl-sci2014★ 38 cited

Turbulent fracture surfaces: A footprint of damage percolation?

Stephane Vernede, Laurent Ponson, Jean-Philippe Bouchaud

We show that a length scale xi can be extracted from the spatial correlations of the "steep cliffs" that appear on fracture surface. Above xi, the slope amplitudes are uncorrelated…

q-fin.TR2014

A fully consistent, minimal model for non-linear market impact

Jonathan Donier, Julius Bonart, Iacopo Mastromatteo +1

We propose a minimal theory of non-linear price impact based on a linear (latent) order book approximation, inspired by diffusion-reaction models and general arguments. Our framewo…

cond-mat.dis-nn2014★ 21 cited

Revisiting Directed Polymers with heavy-tailed disorder

Thomas Gueudré, Pierre Le Doussal, Jean-Philippe Bouchaud +1

In this mostly numerical study, we revisit the statistical properties of the ground state of a directed polymer in a "hilly" disorder landscape, i.e. when the quenched diso…

cond-mat.stat-mech2014★ 41 cited

Endogenous crisis waves: a stochastic model with synchronized collective behavior

Stanislao Gualdi, Jean-Philippe Bouchaud, Giulia Cencetti +2

We propose a simple framework to understand commonly observed crisis waves in macroeconomic Agent Based models, that is also relevant to a variety of other physical or biological s…

physics.soc-ph2014

Sudden Trust Collapse in Networked Societies

João da Gama Batista, Jean-Philippe Bouchaud, Damien Challet

Trust is a collective, self-fulfilling phenomenon that suggests analogies with phase transitions. We introduce a stylized model for the build-up and collapse of trust in networks,…

q-fin.GN2014

Risk Premia: Asymmetric Tail Risks and Excess Returns

Y. Lempérière, C. Deremble, T. T. Nguyen +3

We present extensive evidence that ``risk premium'' is strongly correlated with tail-risk skewness but very little with volatility. We introduce a new, intuitive definition of skew…