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International Transactions in Operational Research
Article . 2016 . Peer-reviewed
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2017
Data sources: zbMATH Open
DBLP
Article . 2017
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Corporates’ control strategies using network optimization

Corporates' control strategies using network optimization
Authors: Pedro Martins 0002; Elisabete Neves;

Corporates’ control strategies using network optimization

Abstract

AbstractThe ownership of a quoted company is usually spread among various shareholders. This dispersion can be characterized by an oriented network, whose nodes represent the companies, and an arc between companies i and j, with weight sij, indicates that company i owns sij percent of company j, being denoted by stock shareholding network (SSN). Given two sets of companies T and C0 from a SSN, we say that the companies in C0 control those in T if they own or imply ownership of at least αj percent of companies’ T shares. So, given a targeting set T, our problem is to find a set of companies C0 in which we invest such that the entire investment cost is the lowest. This problem has relevant applications in corporate governance and it can be modeled within network optimization. We discuss its applicability using a broad set of companies in the European stock market.

Keywords

Mixed integer programming, corporate governance, network optimization, stock shareholding network, Programming involving graphs or networks, mixed-integer linear programming

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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