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https://hdl.handle.net/2440/17549
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Type: | Journal article |
Title: | Self-organized criticality and stock market dynamics: an empirical study |
Author: | Bartolozzi, M. Leinweber, D. Thomas, A. |
Citation: | Physica A: Statistical Mechanics and its Applications, 2005; 350(2-4):451-465 |
Publisher: | Elsevier Science BV |
Issue Date: | 2005 |
ISSN: | 0378-4371 1873-2119 |
Department: | Centre for the Sub-Atomic Structure of Matter |
Statement of Responsibility: | M. Bartolozzi, D.B. Leinweber, and A.W. Thomas |
Abstract: | The Stock Market is a complex self-interacting system, characterized by an intermittent behaviour. Periods of high activity alternate with periods of relative calm. In the present work we investigate empirically about the possibility that the market is in a self-organized critical state (SOC). A wavelet transform method is used in order to separate high activity periods, related to the avalanches of sandpile models, from quiescent. A statistical analysis of the filtered data show a power law behaviour in the avalanche size, duration and laminar times. The memory process, implied by the power law distribution, of the laminar times is not consistent with classical conservative models for self-organized criticality. We argue that a ``near-SOC'' state or a time dependence in the driver, which may be chaotic, can explain this behaviour. |
Keywords: | Complex systems Econophysics Self-organized criticality Wavelets |
Description: | Copyright © 2004 Elsevier B.V. All rights reserved. Submitted to Cornell University’s online archive www.arXiv.org in 2004 by Roland Marco Bartolozzi. Post-print sourced from www.arxiv.org. |
DOI: | 10.1016/j.physa.2004.11.061 |
Published version: | http://arxiv.org/abs/cond-mat/0405257 |
Appears in Collections: | Aurora harvest 6 Special Research Centre for the Subatomic Structure of Matter publications |
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