Identification of clusters of investors from their real trading activity in a financial market

Rosario Nunzio Mantegna, Michele Tumminello, Fabrizio Lillo, Jyrki Piilo, Michele Tumminello

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44 Citazioni (Scopus)

Abstract

We use statistically validated networks, a recently introduced method of validating links in a bipartite system, to identify clusters of investors trading in a financial market. Specifically, we investigate a special database allowing us to track the trading activity of individual investors of Nokia stock. We find that many statistically detected clusters of investors show a very high degree of synchronization in time when they decide to trade and in the trading action taken. We investigate the composition of these clusters and find that several of them show an over-expression of specific categories of investors.
Lingua originaleEnglish
pagine (da-a)013041-
Numero di pagine0
RivistaNew Journal of Physics
Volume14
Stato di pubblicazionePublished - 2012

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synchronism

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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Identification of clusters of investors from their real trading activity in a financial market. / Mantegna, Rosario Nunzio; Tumminello, Michele; Lillo, Fabrizio; Piilo, Jyrki; Tumminello, Michele.

In: New Journal of Physics, Vol. 14, 2012, pag. 013041-.

Risultato della ricerca: Article

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