activity
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 2015Show all

11 papers · 1 filter

q-fin.GN2015

Do investors trade too much? A laboratory experiment

Joao da Gama Batista, Domenico Massaro, Jean-Philippe Bouchaud +2

We run experimental asset markets to investigate the emergence of excess trading and the occurrence of synchronised trading activity leading to crashes in the artificial markets. T…

q-fin.TR2015★ 4 cited

Optimal Trading with Linear and (small) Non-Linear Costs

A. Rej, R. Benichou, J. de Lataillade +2

We reconsider the problem of optimal trading in the presence of linear and quadratic costs, for arbitrary linear costs but in the limit where quadratic costs are small. Using match…

q-fin.PM2015★ 1 cited

Deconstructing the Low-Vol Anomaly

S. Ciliberti, Y. Lempérière, A. Beveratos +4

We study several aspects of the so-called low-vol and low-beta anomalies, some already documented (such as the universality of the effect over different geographical zones), others…

q-fin.TR2015

Quadratic Hawkes processes for financial prices

Pierre Blanc, Jonathan Donier, Jean-Philippe Bouchaud

We introduce and establish the main properties of QHawkes ("Quadratic" Hawkes) models. QHawkes models generalize the Hawkes price models introduced in E. Bacry et al. (2014), by al…

econ.GN2015★ 30 cited

On growth-optimal tax rates and the issue of wealth inequalities

Jean-Philippe Bouchaud

We introduce a highly stylized, yet non trivial model of the economy, with a public and private sector coupled through a wealth tax and a redistribution policy. The model can be fu…

cond-mat.soft2015★ 11 cited

Spontaneous instabilities and stick-slip motion in a generalized Hebraud-Lequeux model

Jean-Philippe Bouchaud, Stanislao Gualdi, Marco Tarzia +1

We revisit the Hébraud-Lequeux (HL) model for the rheology of jammed materials and argue that a possibly important time scale is missing from HL's initial specification. We show th…