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Dynamic visualization of large financial networks

Ronald Heijmans, Richard Heuver, Clément Levallois and Iman Lelyveld
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Ronald Heijmans: emlyon business school

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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.

Keywords: network; theory (search for similar items in EconPapers)
Date: 2016-06-01
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Published in The Journal of Network Theory in Finance, 2016, 57-79 p

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