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    <title>Unitus DSpace</title>
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    <pubDate>Mon, 20 May 2013 07:15:26 GMT</pubDate>
    <dc:date>2013-05-20T07:15:26Z</dc:date>
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      <title>Dynamical correlations in financial systems</title>
      <link>http://hdl.handle.net/2067/1521</link>
      <description>Title: Dynamical correlations in financial systems
Authors: Pozzi, Francesco; Aste, Tomaso; Rotundo, Giulia; Di Matteo, Tiziana
Abstract: One of the main goals in the field of complex systems is the selection and extraction of relevant and meaningful&#xD;
information about the properties of the underlying system from large datasets. In the last years different methods&#xD;
have been proposed for filtering financial data by extracting a structure of interactions from cross-correlation&#xD;
matrices where only few entries are selected by means of criteria borrowed from network theory. We discuss and&#xD;
compare the stability and robustness of two methods: the Minimum Spanning Tree and the Planar Maximally&#xD;
Filtered Graph. We construct such graphs dynamically by considering running windows of the whole dataset.&#xD;
We study their stability and their edges’s persistence and we come to the conclusion that the Planar Maximally&#xD;
Filtered Graph offers a richer and more significant structure with respect to the Minimum Spanning Tree, showing&#xD;
also a stronger stability in the long run.</description>
      <pubDate>Mon, 31 Dec 2007 23:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2067/1521</guid>
      <dc:date>2007-12-31T23:00:00Z</dc:date>
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