Cross-correlation of long-range correlated series

dc.creatorArianos, Sergio
dc.creatorCarbone, Anna
dc.date2008-04-13
dc.date2009-03-30
dc.date.accessioned2026-07-07T12:57:20Z
dc.date.available2026-07-07T12:57:20Z
dc.descriptionA method for estimating the cross-correlation $C_{xy}(τ)$ of long-range correlated series $x(t)$ and $y(t)$, at varying lags $τ$ and scales $n$, is proposed. For fractional Brownian motions with Hurst exponents $H_1$ and $H_2$, the asymptotic expression of $C_{xy}(τ)$ depends only on the lag $τ$ (wide-sense stationarity) and scales as a power of $n$ with exponent ${H_1+H_2}$ for $τ\to 0$. The method is illustrated on (i) financial series, to show the leverage effect; (ii) genomic sequences, to estimate the correlations between structural parameters along the chromosomes.
dc.description14 pages, 8 figures
dc.identifierhttps://arxiv.org/abs/0804.2064
dc.identifierhttp://arxiv.org/abs/0804.2064
dc.identifierJ. Stat. Mech. (2009) P03037
dc.identifierdoi:10.1088/1742-5468/2009/03/P03037
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/224899
dc.subjectStatistical Finance
dc.subjectStatistical Mechanics
dc.subjectGenomics
dc.titleCross-correlation of long-range correlated series
dc.typetext

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