...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Physica, A. Statistical mechanics and its applications >The shareholding similarity of the shareholders of the worldwide listed energy companies based on a two-mode primitive network and a one-mode derivative holding-based network
【24h】

The shareholding similarity of the shareholders of the worldwide listed energy companies based on a two-mode primitive network and a one-mode derivative holding-based network

机译：基于两种模式的原始网络和基于一种模式的衍生控股网络的全球上市能源公司的股东的持股相似性

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Two-mode and multi-mode networks represent new directions of simulating a complex network that can simulate the relationships among the entities more precisely. In this paper, we constructed two different levels of networks: one is the two-mode primitive networks of the energy listed companies and their shareholders on the basis of the twomode method of complex theory, and the other is the derivative one-mode holdingbased network based on the equivalence network theory. We calculated two different topological characteristics of the two networks, that is, the out-degree of the actor nodes of the two-mode network (9003 nodes) and the weights of the edges of the onemode network (619,766 edges), and we analyzed the distribution features of both of the two topological characteristics. In this paper, we define both the weighted and unweighted Shareholding Similarity Coefficient, and using the data of the worldwide listed energy companies and their shareholders as empirical study subjects, we calculated and compared both the weighted and un-weighted shareholding similarity coefficient of the worldwide listed energy companies. The result of the analysis indicates that (1) both the out-degree of the actor nodes of the two-mode network and the weights of the edges of the one-mode network follow a power-law distribution; (2) there are significant differences between the weighted and un-weighted shareholding similarity coefficient of the worldwide listed energy companies, and the weighted shareholding similarity coefficient is of greater regularity than the un-weighted one; (3) there are a vast majority of shareholders who hold stock in only one or a few of the listed energy companies; and (4) the shareholders hold stock in the same listed energy companies when the value of the un-weighted shareholding similarity coefficient is between 0.4 and 0.8. The study will be a helpful tool to analyze the relationships of the nodes of the one-mode network, which is constructed based on the two-mode network, and it provides a means to discover the similarity of the shareholding behavior among the shareholders; in addition, this study will be useful for further research studies regarding the stability of the structure of the energy institutes and the level of risk in the energy stock market.
机译：两模和多模网络代表了模拟复杂网络的新方向，该网络可以更精确地模拟实体之间的关系。在本文中，我们构建了两个不同层次的网络：一个是基于复杂理论的双模方法的能源上市公司及其股东的双模原始网络，另一个是基于派生单模控股的网络。基于等效网络理论。我们计算了两个网络的两种不同的拓扑特征，即双模网络的actor节点的出度（9003个节点）和单模网络的边缘的权重（619,766个边缘），并进行了分析两种拓扑特征的分布特征。在本文中，我们定义了加权和非加权股权相似系数，并使用全球上市能源公司及其股东的数据作为实证研究对象，我们计算并比较了全球加权和非加权股权相似系数上市能源公司。分析结果表明：（1）双模网络的actor节点的向外度和单模网络的边缘权重都遵循幂律分布; （2）全球上市能源公司的加权和非加权相似度系数之间存在显着差异，加权相似度系数比非加权相似度更大。 （3）绝大多数股东只持有一家或几家上市能源公司的股份; （四）未加权持股相似系数在0.4〜0.8之间的，股东在同一家上市能源公司持股。该研究将为分析基于双模网络的单模网络节点之间的关系提供有益的工具，为发现股东之间持股行为的相似性提供一种手段。此外，该研究对于进一步研究能源机构的结构稳定性和能源市场中的风险水平将很有用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号