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Correlation based networks of equity returns sampled at different time horizons

  • M. Tumminello
  • T. Di Matteo
  • T. Aste
  • R. N. Mantegna

We investigate the planar maximally filtered graphs of the portfolio of the 300 most capitalized stocks traded at the New York Stock Exchange during the time period 2001-2003. Topological properties such as the average length of shortest paths, the betweenness and the degree are computed on different planar maximally filtered graphs generated by sampling the returns at different time horizons ranging from 5 min up to one trading day. This analysis confirms that the selected stocks compose a hierarchical system progressively structuring as the sampling time horizon increases. Finally, a cluster formation, associated to economic sectors, is quantitatively investigated.

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File URL: http://arxiv.org/pdf/physics/0605251
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Paper provided by arXiv.org in its series Papers with number physics/0605251.

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Date of creation: May 2006
Date of revision: Apr 2007
Publication status: Published in Eur. Phys. J. B 55 (2): 209-217 (2007)
Handle: RePEc:arx:papers:physics/0605251
Contact details of provider: Web page: http://arxiv.org/

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  1. Tola, Vincenzo & Lillo, Fabrizio & Gallegati, Mauro & Mantegna, Rosario N., 2008. "Cluster analysis for portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 235-258, January.
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