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Article Dans Une Revue The Journal of Network Theory in Finance Année : 2016

Dynamic visualization of large financial networks

Richard Heuver
  • Fonction : Auteur
Clément Levallois
  • Fonction : Auteur
Iman van Lelyveld
  • Fonction : Auteur

Résumé

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.

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Dates et versions

hal-02311907 , version 1 (11-10-2019)

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  • HAL Id : hal-02311907 , version 1

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Ronald Heijmans, Richard Heuver, Clément Levallois, Iman van Lelyveld. Dynamic visualization of large financial networks. The Journal of Network Theory in Finance, 2016, 2 (2), 57-79 p. ⟨hal-02311907⟩

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