Yet on statistical properties of traded volume: correlation and mutual information at different value magnitudes

dc.creatorQueiros, Silvio M. Duarte
dc.creatorMoyano, Luis G.
dc.date2007-02-21
dc.date.accessioned2026-07-07T12:07:56Z
dc.date.available2026-07-07T12:07:56Z
dc.descriptionIn this article we analyse linear correlation and non-linear dependence of traded volume, $v$, of the 30 constituents of Dow Jones Industrial Average at different value scales. Specifically, we have raised $v$ to some real value $α$ or $β$, which introduces a bias for small ($ α, β<0$) or large ($α, β>1$) values. Our results show that small values of $v$ are regularly \emph{anti-correlated} with values at other scales of traded volume. This is consistent with the high liquidity of the 30 equities analysed and the asymmetric form of the multi-fractal spectrum for traded volume which has supported the dynamical scenario presented by us.
dc.description6 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/physics/0702185
dc.identifierhttp://arxiv.org/abs/physics/0702185
dc.identifierPhysica A 383, 10 (2007)
dc.identifierdoi:10.1016/j.physa.2007.04.082
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/209147
dc.subjectData Analysis, Statistics and Probability
dc.subjectStatistical Finance
dc.titleYet on statistical properties of traded volume: correlation and mutual information at different value magnitudes
dc.typetext

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