IDEAS home Printed from
   My bibliography  Save this paper

Ecosystems perspective on financial networks: diagnostic tools


  • Eduardo Viegas
  • Misako Takayasu
  • Wataru Miura
  • Koutarou Tamura
  • Takaaki Ohnishi
  • Hideki Takayasu
  • Henrik Jeldtoft Jensen


The economical world consists of a highly interconnected and interdependent network of firms. Here we develop temporal and structural network tools to analyze the state of the economy. Our analysis indicates that a strong clustering can be a warning sign. Reduction in diversity, which was an essential aspect of the dynamics surrounding the crash in 2008, is seen as a key emergent feature arising naturally from the evolutionary and adaptive dynamics inherent to the financial markets. Similarly, collusion amongst construction firms in a number of regions in Japan in the 2000s can be identified with the formation of clusters of anomalous highly connected companies.

Suggested Citation

  • Eduardo Viegas & Misako Takayasu & Wataru Miura & Koutarou Tamura & Takaaki Ohnishi & Hideki Takayasu & Henrik Jeldtoft Jensen, 2013. "Ecosystems perspective on financial networks: diagnostic tools," Papers 1301.5821,
  • Handle: RePEc:arx:papers:1301.5821

    Download full text from publisher

    File URL:
    File Function: Latest version
    Download Restriction: no

    References listed on IDEAS

    1. Simone Varotto, 2011. "Liquidity risk, credit risk, market risk and bank capital," International Journal of Managerial Finance, Emerald Group Publishing, vol. 7(2), pages 134-152, April.
    2. repec:wsi:ijtafx:v:03:y:2000:i:02:n:s0219024900000115 is not listed on IDEAS
    3. Simone Varotto, 2011. "Liquidity Risk, Credit Risk, Market Risk and Bank Capital," ICMA Centre Discussion Papers in Finance icma-dp2011-02, Henley Business School, Reading University.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Broga, Kristijonas M. & Viegas, Eduardo & Jensen, Henrik Jeldtoft, 2016. "Model analysis of the link between interest rates and crashes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 225-238.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:1301.5821. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (arXiv administrators). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.