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Correlation based networks of equity returns sampled at different time horizons

  • Topical Issue on Trends in Econophysics
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Abstract.

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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Authors and Affiliations

  1. Dipartimento di Fisica e Tecnologie Relative, Università di Palermo, Viale delle Scienze, 90128, Palermo, Italy

    M. Tumminello & R. N. Mantegna

  2. Department of Applied Mathematics, Australian National University, 0200 Canberra, ACT, Australia

    T. Di Matteo & T. Aste

Authors
  1. M. Tumminello
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  2. T. Di Matteo
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  3. T. Aste
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  4. R. N. Mantegna
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Correspondence to R. N. Mantegna.

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Tumminello, M., Di Matteo, T., Aste, T. et al. Correlation based networks of equity returns sampled at different time horizons. Eur. Phys. J. B 55, 209–217 (2007). https://doi.org/10.1140/epjb/e2006-00414-4

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  • DOI: https://doi.org/10.1140/epjb/e2006-00414-4

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