公司治理的多重网络方法
A Multiple Network Approach to Corporate Governance
摘要：
在这项工作中，我们认为公司治理（CG）的公司之间的联系，从多个网络的角度来看。这种结构自然产生于股权网络（SH）和董事会网络（BD）之间的密切关系。为了捕捉这两个网络对CG的同时影响，我们建议通过张量分析来建模CG多网络结构。特别是，我们认为TOPHITS模型，基于PARAFAC张量分解，张量技术可以成功地应用在这种情况下。通过提供意大利金融市场在单变量情况下的一些实证结果，我们然后表明，张量为基础的多重网络方法可以揭示重要的信息。
英文摘要：
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 (SH) and the Board of Directors network (BD). 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.
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