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Cited 6 time in webofscience Cited 8 time in scopus
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Analysis of the global financial crisis using statistical moments

Authors
Jun, DoobaeAhn, ChangmoKim, Gwangil
Issue Date
May-2017
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Keywords
Global financial crisis; Stock-market index; Standardization; Standardized normalization; Statistical moments
Citation
FINANCE RESEARCH LETTERS, v.21, pp 47 - 52
Pages
6
Indexed
SSCI
SCOPUS
Journal Title
FINANCE RESEARCH LETTERS
Volume
21
Start Page
47
End Page
52
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/13748
DOI
10.1016/j.frl.2016.11.004
ISSN
1544-6123
1544-6131
Abstract
In this paper, we investigate the impacts of the global financial crisis on the statistical properties of the stock market indices. And we also suggest a possible warning signal of the global financial crisis from the changes in the statistical properties. In order to do that, we treat the world stock markets as a web of relations, which is described by a distribution in the standardized normalization coordinate system: Quarterly world stock-market indices are standardized by re-scaling each index and then normalizing the whole time-series so that every sample of standardized indices has the same mean and variance. By plotting the higher moments of this normalized series, it is possible to identify singularities which might have warned of the dotcom bubble crash in 2002, the 2008 financial crisis, and the European sovereign debt crisis of 2009-10. (C) 2016 Elsevier Inc. All rights reserved.
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Jun, Doo Bae
자연과학대학 (수학물리학부)
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