Self-organized critical topology of stock markets

dc.creatorVandewalle, N.
dc.creatorBrisbois, F.
dc.creatorTordoir, X.
dc.date2000-09-16
dc.date.accessioned2026-07-07T02:38:45Z
dc.date.available2026-07-07T02:38:45Z
dc.descriptionWe have analyzed the cross-correlations of daily fluctuations for N=6 358 US stock prices during the year 1999. From those $N(N-1)/2$ correlations coefficients, the Minimum Spanning Tree (MST) has been built. We have investigated the topology exhibited by the MST. Eventhough the average topological number is $<n > \approx 2$, the variance $σ$ of the topological distribution f(n) diverges. More precisely, we have found that $f(n) \sim n^{-2.2}$ holding over two decades. We have studied the topological correlations for neighbouring nodes: an extremely broad set of local configurations exists, confirming the divergence of $σ$.
dc.description7pages, 3 figures, see also an interactive presentation of this paper on www.market-topology.com. Quantitative Finance, in press
dc.identifierhttps://arxiv.org/abs/cond-mat/0009245
dc.identifierhttp://arxiv.org/abs/cond-mat/0009245
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/16787
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleSelf-organized critical topology of stock markets
dc.typetext

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