Visual Exploration of Financial Data with Incremental Domain Knowledge

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dc.contributor.authorArleo, Alessioen_US
dc.contributor.authorTsigkanos, Christosen_US
dc.contributor.authorLeite, Roger A.en_US
dc.contributor.authorDustdar, Schahramen_US
dc.contributor.authorMiksch, Silviaen_US
dc.contributor.authorSorger, Johannesen_US
dc.contributor.editorHauser, Helwig and Alliez, Pierreen_US
dc.date.accessioned2023-03-22T15:07:13Z
dc.date.available2023-03-22T15:07:13Z
dc.date.issued2023
dc.description.abstractModelling the dynamics of a growing financial environment is a complex task that requires domain knowledge, expertise and access to heterogeneous information types. Such information can stem from several sources at different scales, complicating the task of forming a holistic impression of the financial landscape, especially in terms of the economical relationships between firms. Bringing this scattered information into a common context is, therefore, an essential step in the process of obtaining meaningful insights about the state of an economy. In this paper, we present , a Visual Analytics (VA) approach for exploring financial data across different scales, from individual firms up to nation‐wide aggregate data. Our solution is coupled with a pipeline for the generation of firm‐to‐firm financial transaction networks, fusing information about individual firms with sector‐to‐sector transaction data and domain knowledge on macroscopic aspects of the economy. Each network can be created to have multiple instances to compare different scenarios. We collaborated with experts from finance and economy during the development of our VA solution, and evaluated our approach with seven domain experts across industry and academia through a qualitative insight‐based evaluation. The analysis shows how enables the generation of insights, and how the incorporation of transaction models assists users in their exploration of a national economy.en_US
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14723
dc.identifier.issn1467-8659
dc.identifier.pages101-116
dc.identifier.urihttps://doi.org/10.1111/cgf.14723
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14723
dc.publisherEurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectVisualization
dc.subjectInformation Visualization
dc.subjectVisual Analytics
dc.subjectVisualization in Finance
dc.titleVisual Exploration of Financial Data with Incremental Domain Knowledgeen_US
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