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How the network properties of shareholders vary with investor type and country
Qing Yao1,2, Tim S Evans1,2, Kim Christensen1,2
1Centre for Complexity Science, Imperial College London, London, United Kingdom.
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.
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