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

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 t...

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Detalles Bibliográficos
Autores principales: Yao, Qing, Evans, Tim S., Christensen, Kim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707624/
https://www.ncbi.nlm.nih.gov/pubmed/31442250
http://dx.doi.org/10.1371/journal.pone.0220965
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author Yao, Qing
Evans, Tim S.
Christensen, Kim
author_facet Yao, Qing
Evans, Tim S.
Christensen, Kim
author_sort Yao, Qing
collection PubMed
description 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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spelling pubmed-67076242019-09-04 How the network properties of shareholders vary with investor type and country Yao, Qing Evans, Tim S. Christensen, Kim PLoS One Research Article 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. Public Library of Science 2019-08-23 /pmc/articles/PMC6707624/ /pubmed/31442250 http://dx.doi.org/10.1371/journal.pone.0220965 Text en © 2019 Yao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yao, Qing
Evans, Tim S.
Christensen, Kim
How the network properties of shareholders vary with investor type and country
title How the network properties of shareholders vary with investor type and country
title_full How the network properties of shareholders vary with investor type and country
title_fullStr How the network properties of shareholders vary with investor type and country
title_full_unstemmed How the network properties of shareholders vary with investor type and country
title_short How the network properties of shareholders vary with investor type and country
title_sort how the network properties of shareholders vary with investor type and country
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707624/
https://www.ncbi.nlm.nih.gov/pubmed/31442250
http://dx.doi.org/10.1371/journal.pone.0220965
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AT christensenkim howthenetworkpropertiesofshareholdersvarywithinvestortypeandcountry

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