Physics – Data Analysis – Statistics and Probability
Scientific paper
2007-02-21
Physica A 383, 10 (2007)
Physics
Data Analysis, Statistics and Probability
6 pages, 2 figures
Scientific paper
10.1016/j.physa.2007.04.082
In 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 $\alpha $ or $\beta $, which introduces a bias for small ($ \alpha, \beta <0$) or large ($\alpha, \beta >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.
Duarte Queiros Silvio M.
Moyano Luis G.
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