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The Spread of the Credit Crisis: View from a Stock Correlation Network

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  • Smith, Reginald

Abstract

The credit crisis roiling the world's financial markets will likely take years and entire careers to fully understand and analyze. A short empirical investigation of the current trends, however, demonstrates that the losses in certain markets, in this case the US equity markets, follow a cascade or epidemic flow like model along the correlations of various stocks. A few images and explanation here will suffice to show the phenomenon. Also, whether the idea of "epidemic" or a "cascade" is a metaphor or model for this crisis will be discussed. Animations of the spread of the crisis are available at http://reggiesmithsci.googlepages.com/creditcrisis

Suggested Citation

  • Smith, Reginald, 2008. "The Spread of the Credit Crisis: View from a Stock Correlation Network," MPRA Paper 12659, University Library of Munich, Germany, revised 02 Dec 2008.
    • Handle: RePEc:pra:mprapa:12659
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    References listed on IDEAS

    as
    1. Campbell, John Y. & Hentschel, Ludger, 1992. "No news is good news *1: An asymmetric model of changing volatility in stock returns," Journal of Financial Economics, Elsevier, vol. 31(3), pages 281-318, June.
    2. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871.
    3. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    4. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
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    More about this item

    Keywords

    networks; econophysics; equities; stock market; correlation; credit crisis;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

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