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A multiple network approach to corporate governance

Fausto Bonacina (), Marco D’Errico (), Enrico Moretto, Silvana Stefani (), Anna Torriero () and Giovanni Zambruno

Quality & Quantity: International Journal of Methodology, 2015, vol. 49, issue 4, 1585-1595

Abstract: In this work, we consider corporate governance (CG) ties among companies from a multiple network perspective. Such a structure naturally arises from the close interrelation between the Shareholding network and the Board of Directors network. In order to capture the simultaneous effects of both networks on CG, we propose to model the CG multiple network structure via tensor analysis. In particular, we consider the TOPHITS model, based on the PARAFAC tensor decomposition, to show that tensor techniques can be successfully applied in this context. By providing some empirical results from the Italian financial market in the univariate case, we then show that a tensor–based multiple network approach can reveal important information. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Multiple networks; Tensor analysis; Corporate governance (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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Working Paper: A Multiple Network Approach to Corporate Governance (2014) Downloads
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DOI: 10.1007/s11135-014-0075-y

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