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Network structures and credit risk in cross-shareholdings among listed Japanese companies

机译:日本上市公司间交叉持股的网络结构和信用风险

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摘要

This study assesses the network structures of cross-shareholdings among listed Japanese companies using a dataset of 2936 companies for the fiscal years 2008-2015. First, I analyze the network structure of cross-shareholdings on the Japanese stock market using centrality measures. Financial institutions and companies in the motor manufacturing industry are central in the network in terms of degree centrality. By contrast, companies in various industries play a central role in terms of betweenness centrality. Second, I use credit risk analysis to investigate the effects of cross-shareholdings using a panel regression. The results show that an increase in the share of foreign companies does not increase the counterparty credit risk in the network. In addition, an increase of a direct centrality measure (i.e., degree or eigenvector centrality) indicates that the connections among cross-shareholdings become denser in a neighboring area and increase credit contagion risk. By contrast, an increase of an indirect centrality measure (i.e., eccentricity or farness centrality) shows that the connections among cross-shareholdings become dispersed at the global level and decrease credit contagion risk. The results could provide senior managers with an important signal for credit risk management related to cross-shareholdings.
机译:本研究使用2936家公司的2008-2015财年数据评估了日本上市公司之间的交叉持股网络结构。首先,我使用集中度分析法分析了日本股票上交叉持股的网络结构。就程度中心性而言,汽车制造业中的金融机构和公司在网络中处于中心地位。相比之下,各个行业的公司在中间性中心方面发挥着中心作用。其次,我使用信用风险分析通过面板回归调查交叉持股的影响。结果表明,外国公司份额的增加并不会增加网络中的交易对手信用风险。此外,直接集中度度量(即度数或特征向量集中度)的增加表明,交叉持股之间的联系在邻近地区变得更加密集,并增加了信贷传染风险。相比之下,间接中心度度量(即,偏心率或距离中心度)的增加表明,交叉持股之间的联系在全球范围内变得分散,并降低了信贷传染风险。结果可以为高级管理人员提供与交叉持股相关的信用风险管理的重要信号。

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