Relevance Driven Visualization of Financial Performance Measures

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ZIEGLER, Hartmut, Tilo NIETZSCHMANN, Daniel A. KEIM, 2007. Relevance Driven Visualization of Financial Performance Measures. EUROVIS 2007. Norrköping, Sweden, May 23, 2007 - May 25, 2007. In: EUROVIS 2007: Eurographics/IEEE VGTC Symposium on Visualization, pp. 19-26. Available under: doi: 10.2312/VisSym/EuroVis07/019-026

@inproceedings{Ziegler2007Relev-5590, title={Relevance Driven Visualization of Financial Performance Measures}, year={2007}, doi={10.2312/VisSym/EuroVis07/019-026}, booktitle={EUROVIS 2007: Eurographics/IEEE VGTC Symposium on Visualization}, pages={19--26}, author={Ziegler, Hartmut and Nietzschmann, Tilo and Keim, Daniel A.} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <bibo:uri rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:date rdf:datatype="">2011-03-24T15:56:37Z</dc:date> <dc:creator>Keim, Daniel A.</dc:creator> <dc:creator>Ziegler, Hartmut</dc:creator> <dcterms:issued>2007</dcterms:issued> <dcterms:isPartOf rdf:resource=""/> <dcterms:bibliographicCitation>First publ. in: EUROVIS 2007: Eurographics/IEEE VGTC Symposium on Visualization ; Norrköping, Sweden, May 23th-25th, 2007, pp. 19-26</dcterms:bibliographicCitation> <dspace:hasBitstream rdf:resource=""/> <dcterms:rights rdf:resource=""/> <dc:language>eng</dc:language> <dc:contributor>Nietzschmann, Tilo</dc:contributor> <dc:format>application/pdf</dc:format> <dcterms:title>Relevance Driven Visualization of Financial Performance Measures</dcterms:title> <dcterms:hasPart rdf:resource=""/> <dspace:isPartOfCollection rdf:resource=""/> <dc:contributor>Keim, Daniel A.</dc:contributor> <dcterms:available rdf:datatype="">2011-03-24T15:56:37Z</dcterms:available> <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights> <dc:creator>Nietzschmann, Tilo</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:abstract xml:lang="eng">Visual data analysis has received a lot of research interest in recent years, and a wide variety of new visualization techniques and applications have been developed to improve insight into the various application domains. In financial data analysis, however, analysts still primarily rely on a set of statistical performance parameters in combination with traditional line charts in order to evaluate assets and to make decisions, and information visualization is only very slowly entering this important domain. In this paper, we analyze some of the standard statistical measures for technical financial data analysis and demonstrate cases where they produce insufficient and misleading results that do not reflect the real performance of an asset. We propose a technique for visualizing financial time series data that eliminates these inadequacies, offering a complete view on the real performance of an asset. The technique is enhanced by relevance and weighting functions according to the users references in order to emphasize specific regions of interest. Based on these principles we redefine some of the standard performance measures. We apply our technique on real world financial data sets and combine it with higher-level financial analysis techniques such as performance/risk analysis, dominance evaluation, and efficiency curves in order to show how traditional techniques from economics can be improved by modern visual data analysis techniques.</dcterms:abstract> <dc:contributor>Ziegler, Hartmut</dc:contributor> </rdf:Description> </rdf:RDF>

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