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Identifying critical financial networks of the DJIA: Toward a network-based index

  • Queen's University Belfast
  • University of Washington
  • Private University for Health Sciences, Medical Informatics and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The purpose of this article is twofold. First, we introduce a novel definition of financial networks obtained from time series data from the stock market. Second, we demonstrate that these networks can be used as an index with the property to reflect critical states of the market, respectively, crashes sufficiently. Our work aims to advocate a network-based analysis in the context of the stock market, because such a collective phenomenon can not only be economically described by networks but also analyzed as demonstrated in this article.

Original languageEnglish
Pages (from-to)24-33
Number of pages10
JournalComplexity
Volume16
Issue number1
DOIs
Publication statusPublished - 29 Oct 2010
Externally publishedYes

Keywords

  • Complex networks
  • Computational finance
  • Finance
  • Financial networks
  • Graph edit distance
  • Market index

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