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Investigation on law and economics of listed companies’ financing preference based on complex network theory

Author

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  • Jian Yang
  • Shuying Bai
  • Zhao Qu
  • Hui Chang

Abstract

In this paper, complex network theory is used to make time-series analysis of key indicators of governance structure and financing data. We analyze scientific listed companies’ governance data from 2010 to 2014 and divide them into groups in accordance with the similarity they share. Then we select sample companies to analyze their financing data and explore the influence of governance structure on financing decision and the financing preference they display. This paper reviews relevant laws and regulations of financing from the perspective of law and economics, then proposes reasonable suggestions to consummate the law for the purpose of regulating listed companies’ financing. The research provides a reference for making qualitative analysis on companies’ financing.

Suggested Citation

  • Jian Yang & Shuying Bai & Zhao Qu & Hui Chang, 2017. "Investigation on law and economics of listed companies’ financing preference based on complex network theory," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-17, March.
    • Handle: RePEc:plo:pone00:0173514
    DOI: 10.1371/journal.pone.0173514
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    References listed on IDEAS

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    1. Xia, Cheng-yi & Wang, Zhen & Sanz, Joaquin & Meloni, Sandro & Moreno, Yamir, 2013. "Effects of delayed recovery and nonuniform transmission on the spreading of diseases in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1577-1585.
    2. Jian Yang & Zhao Qu & Hui Chang, 2015. "Investigation on Law and Economics Based on Complex Network and Time Series Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.
    3. Tang, Jinjun & Liu, Fang & Zhang, Weibin & Zhang, Shen & Wang, Yinhai, 2016. "Exploring dynamic property of traffic flow time series in multi-states based on complex networks: Phase space reconstruction versus visibility graph," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 635-648.
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