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Identification of Clusters of Investors from Their Real Trading Activity in a Financial MarketMichele TumminelloCarnegie Mellon University - Department of Social and Decision Sciences; University of Palermo Fabrizio LilloUniversity of Palermo Jyrki PiiloUniversity of Turku Rosario N. MantegnaCentral European University; University of Palermo July 20, 2011 Abstract: We use statistically validated networks, a recently introduced method to validate links in a bipartite system, to identify clusters of investors trading in a financial market. Specifically, we investigate a special database allowing to track the trading activity of individual investors of the stock Nokia. We find that many statistically detected clusters of investors show a very high degree of synchronization in the time when they decide to trade and in the trading action taken. We investigate the composition of these clusters and we find that several of them show an over-expression of specific categories of investors.
Number of Pages in PDF File: 25 Keywords: Financial markets, Institutional and individual investors, Households finance, Complex systems, Networks JEL Classification: C81, D19, D49, G14 working papers seriesDate posted: July 20, 2011 ; Last revised: July 25, 2011Suggested CitationContact Information
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