Dynamic visualization of large financial networks
| Autor: | Ronald Heijmans, Richard Heuver, Clement Levallois, Iman van Lelyveld |
|---|---|
| Přispěvatelé: | emlyon business school, business school, emlyon |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Computer Networks and Communications
Computer science Financial networks Distributed computing Network theory [SHS.ECO]Humanities and Social Sciences/Economics and Finance Original research network theory Dynamic visualization Modeling and Simulation [SHS.GESTION]Humanities and Social Sciences/Business administration [SHS.ECO] Humanities and Social Sciences/Economics and Finance [SHS.GESTION] Humanities and Social Sciences/Business administration Finance |
| Zdroj: | The Journal of Network Theory in Finance The Journal of Network Theory in Finance, 2016, 57-79 p |
| ISSN: | 2055-7795 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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