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How the network properties of shareholders vary with investor type and country

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  • Qing Yao
  • Tim Evans
  • Kim Christensen

Abstract

We construct two examples of shareholder networks in which shareholders are connected if they have shares in the same company. We do this for the shareholders in Turkish companies and we compare this against the network formed from the shareholdings in Dutch companies. We analyse the properties of these two networks in terms of the different types of shareholder. We create a suitable randomised version of these networks to enable us to find significant features in our networks. For that we find the roles played by different types of shareholder in these networks, and also show how these roles differ in the two countries we study.

Suggested Citation

  • Qing Yao & Tim Evans & Kim Christensen, 2018. "How the network properties of shareholders vary with investor type and country," Papers 1812.06694, arXiv.org, revised Sep 2019.
  • Handle: RePEc:arx:papers:1812.06694
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    1. Stefania Vitali & James B Glattfelder & Stefano Battiston, 2011. "The Network of Global Corporate Control," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-6, October.
    2. Gai, Prasanna & Kapadia, Sujit, 2010. "Contagion in financial networks," Bank of England working papers 383, Bank of England.
    3. An, Pengli & Li, Huajiao & Zhou, Jinsheng & Chen, Fan, 2017. "The evolution analysis of listed companies co-holding non-listed financial companies based on two-mode heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 558-568.
    4. J. B. Glattfelder & S. Battiston, 2009. "Backbone of complex networks of corporations: The flow of control," Papers 0902.0878, arXiv.org, revised Aug 2009.
    5. Li, Huajiao & Fang, Wei & An, Haizhong & Gao, Xiangyun & Yan, Lili, 2016. "Holding-based network of nations based on listed energy companies: An empirical study on two-mode affiliation network of two sets of actors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 224-232.
    6. Li, Huajiao & Fang, Wei & An, Haizhong & Yan, LiLi, 2014. "The shareholding similarity of the shareholders of the worldwide listed energy companies based on a two-mode primitive network and a one-mode derivative holding-based network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 525-532.
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    Cited by:

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    2. Qing Yao & Shaodong Ma & Jing Liang & Kim Christensen & Wanru Jing & Ruiqi Li, 2022. "Effects of syndication network on specialisation and performance of venture capital firms," Papers 2211.00873, arXiv.org.

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