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The evolutionary stability of shareholders' co-holding behavior for China's listed energy companies based on associated maximal connected sub-graphs of derivative holding-based networks

机译:基于衍生控股网络关联最大关联子图的中国能源上市公司股东共同持有行为的演化稳定性

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摘要

Listed energy companies play an important role in both the energy financial market and energy commodity market. As owners of listed energy companies, shareholders can influence the stability of the energy stock market by increasing or decreasing their holdings. To analyze the evolutionary features and stability of shareholders' co-holding behavior, we constructed a derivative holding-based structural equivalence network of the shareholders (holding-based network) based on the primitive shareholding network of the listed companies and their shareholders. The main data used in this paper are the semi-annual reports from 2003 to 2012 that contain information about Chinese listed energy companies' top 10 shareholders. The holding-based network takes the shareholders as nodes, whether holding the same listed energy companies' stock at the same time as the edges, and the number of listed energy companies co-held as the weights. Due to the unique topological features of the holding-based network, we improved the Heuristic Algorithm to find the associated maximal connected sub-graph of the network, which is the main group of shareholders with shareholding consistency of the listed energy companies. This paper creates a new approach to analyze the relationships in the energy stock market, presenting a new method to analyze shareholder behavior. (C) 2015 Elsevier Ltd. All rights reserved.
机译:能源上市公司在能源金融市场和能源商品市场中均扮演着重要角色。作为上市能源公司的所有者,股东可以通过增加或减少持股量来影响能源股票市场的稳定性。为了分析股东共同持股行为的演化特征和稳定性,我们基于上市公司及其股东的原始持股网络,构建了基于派生持股的股东结构对等网络(持股网络)。本文使用的主要数据是2003年至2012年的半年度报告,其中包含有关中国上市能源公司前十大股东的信息。基于控股的网络将股东作为节点,无论是否同时在边缘同时持有同一家上市能源公司的股票,以及作为权重共同持有的上市能源公司的数量。由于基于控股的网络具有独特的拓扑特征,我们改进了启发式算法,以找到网络的相关最大连通子图,该子图是具有上市能源公司持股一致性的主要股东群体。本文提出了一种分析能源股票市场关系的新方法,提出了一种分析股东行为的新方法。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Applied Energy》 |2016年第15期|1601-1607|共7页
  • 作者单位

    China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China|Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100083, Peoples R China|Penn State Univ, Coll Earth & Mineral Sci, Dept Energy & Mineral Engn, University Pk, PA 16802 USA|China Univ Geosci, Lab Resources & Environm Management, Beijing 100083, Peoples R China;

    China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China|Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100083, Peoples R China|China Univ Geosci, Lab Resources & Environm Management, Beijing 100083, Peoples R China;

    China Univ Geosci, Sch Energy Resources, Beijing 10008, Peoples R China;

    China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China|Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100083, Peoples R China|China Univ Geosci, Lab Resources & Environm Management, Beijing 100083, Peoples R China;

    China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China|Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100083, Peoples R China|China Univ Geosci, Lab Resources & Environm Management, Beijing 100083, Peoples R China;

    Beijing Jiaotong Univ, Lib, Beijing 100044, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Listed energy companies; Evolutionary stability; Co-holding behavior; Holding-based network; Maximal connected sub-graph; Improved Heuristic Algorithm;

    机译:能源上市公司;演化稳定性;共同持有行为;基于持有的网络;最大连通子图;改进的启发式算法;

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