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The reaction of stock markets to crashes: a comparison study between emerging and mature markets using wavelet transforms

Sharkasi, Adel and Crane, Martin and Ruskin, Heather J. and Matos, Jose A. (2006) The reaction of stock markets to crashes: a comparison study between emerging and mature markets using wavelet transforms. Physica A: Statistical Mechanics and its Applications, 368 (2). pp. 511-521. ISSN 0378-4371

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We study here the behaviour of the first three eigenvalues (λ1, λ2, λ3) and their ratio [(λ1/λ2), (λ1/λ3), (λ2/λ3)] of the covariance matrices of the original return series and of those rebuilt from wavelet components for emerging and mature markets. It has been known for some time that the largest eigenvalue (λ1) contains information on the risk associated with the particular assets of which the covariance matrix is comprised. Here, we wish to ascertain whether the subdominant eigenvalues (λ2, λ3) hold information on the risk of the stock market and also to measure the recovery time for emerging and mature markets. To do this, we use the discrete wavelet transform which gives a clear picture of the movements in the return series by reconstructing them using each wavelet component. Our results appear to indicate that mature markets respond to crashes differently to emerging ones, in that emerging markets may take up to two months to recover while major markets take less than a month to do so. In addition, the results appears to show that the subdominant eigenvalues (λ2, λ3) give additional information on market movement, especially for emerging markets and that a study of the behaviour of the other eigenvalues may provide insight on crash dynamics.

Item Type:Article (Published)
Uncontrolled Keywords:variance-covariance matrix; eigenvalues; wavelet analysis;
Subjects:Mathematics > Numerical analysis
Mathematics > Statistics
Physical Sciences > Statistical physics
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Official URL:
Copyright Information:Copyright © 2006 Elsevier
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:14858
Deposited On:16 Sep 2009 16:29 by Martin Crane. Last Modified 16 Sep 2009 16:29

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