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Stock Portfolio Structure of Individual Investors Infers Future Trading Behavior

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  • Ludvig Bohlin
  • Martin Rosvall

Abstract

Although the understanding of and motivation behind individual trading behavior is an important puzzle in finance, little is known about the connection between an investor's portfolio structure and her trading behavior in practice. In this paper, we investigate the relation between what stocks investors hold, and what stocks they buy, and show that investors with similar portfolio structures to a great extent trade in a similar way. With data from the central register of shareholdings in Sweden, we model the market in a similarity network, by considering investors as nodes, connected with links representing portfolio similarity. From the network, we find investor groups that not only identify different investment strategies, but also represent individual investors trading in a similar way. These findings suggest that the stock portfolios of investors hold meaningful information, which could be used to earn a better understanding of stock market dynamics.

Suggested Citation

  • Ludvig Bohlin & Martin Rosvall, 2014. "Stock Portfolio Structure of Individual Investors Infers Future Trading Behavior," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-8, July.
  • Handle: RePEc:plo:pone00:0103006
    DOI: 10.1371/journal.pone.0103006
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    References listed on IDEAS

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    Cited by:

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    2. Musciotto, Federico & Marotta, Luca & Miccichè, Salvatore & Piilo, Jyrki & Mantegna, Rosario N., 2016. "Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 267-278.
    3. Liu, Zhifeng & Zhang, Tingting & Li, Wenquan & Kuang, Xiong, 2018. "The neighborhood effects of provincial-level stock market participation in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 459-468.
    4. Federico Musciotto & Luca Marotta & Jyrki Piilo & Rosario N. Mantegna, 2018. "Long-term ecology of investors in a financial market," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-12, December.
    5. Qiujun Lan & Qingyue Xiong & Linjie He & Chaoqun Ma, 2018. "Individual investment decision behaviors based on demographic characteristics: Case from China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-16, August.

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