Effect of Nonlinear Correlations on the Statistics of Return Intervals in Multifractal Data Sets

Mikhail I. Bogachev, Jan F. Eichner, and Armin Bunde
Phys. Rev. Lett. 99, 240601 – Published 10 December 2007

Abstract

We study the statistics of return intervals between events above a certain threshold in multifractal data sets without linear correlations. We find that nonlinear correlations in the record lead to a power-law (i) decay of the autocorrelation function of the return intervals, (ii) increase in the conditional return period, and (iii) decay in the probability density function of the return intervals. We show explicitly that all the observed quantities depend both on the threshold value and system size, and hence there is no simple scaling observed. We also demonstrate that this type of behavior can be observed in real economic records and can be used to improve considerably risk estimation.

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  • Received 8 August 2007

DOI:https://doi.org/10.1103/PhysRevLett.99.240601

©2007 American Physical Society

Authors & Affiliations

Mikhail I. Bogachev, Jan F. Eichner, and Armin Bunde

  • Institut für Theoretische Physik III, Justus-Liebig-Universität Giessen, 35392 Giessen, Germany

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Issue

Vol. 99, Iss. 24 — 14 December 2007

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