IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02311907.html
   My bibliography  Save this paper

Dynamic visualization of large financial networks

Author

Listed:
  • Ronald Heijmans

    (EM - EMLyon Business School)

  • Richard Heuver
  • Clément Levallois
  • Iman van Lelyveld

Abstract

This paper shows how large data sets can be visualized in a dynamic way to support data exploration, highlight econometric results or provide early warning information. We use payments and unsecured money market transaction data from the Dutch part of the Eurosystem's large value payment system, TARGET2, to showcase how video animations facilitate analysis at three different levels. First, animation shows how the market macrostructure develops. Second, it enables us to follow individual banks that are of interest. Finally, it facilitates a comparison of the same market at different times, and of different markets (such as countries) at the same time.

Suggested Citation

  • Ronald Heijmans & Richard Heuver & Clément Levallois & Iman van Lelyveld, 2016. "Dynamic visualization of large financial networks," Post-Print hal-02311907, HAL.
    • Handle: RePEc:hal:journl:hal-02311907
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Ronald Heijmans & Chen Zhou, 2019. "Outlier detection in TARGET2 risk indicators," DNB Working Papers 624, Netherlands Central Bank, Research Department.
    2. Ron Berndsen & Ronald Heijmans, 2017. "Risk indicators for financial market infrastructure: from high frequency transaction data to a traffic light signal," DNB Working Papers 557, Netherlands Central Bank, Research Department.

    More about this item

    Keywords

    network theory;

    Statistics

    Access and download statistics

    Corrections

    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:hal:journl:hal-02311907. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.