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Inferring Energy Stock Returns Based on Financial Indicators from the Network Perspective

Author

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  • Xian Xi
  • Xiangyun Gao
  • Qing Guan
  • Nairong Liu
  • Sida Feng
  • Xueyong Liu
  • Pengli An

Abstract

The return on the energy stocks has become a hot research topic. The investment value of an energy stock should consider both the stock price and its intrinsic value, which is comprehensively reflected by the financial indicators of a listed energy company. However, few studies have studied the nature of the relation between financial indicators from a network perspective. Therefore, we construct relational networks of listed companies based on six types of financial indicators. We also build regression models based on econometric theory. We find that the network structural parameters in different networks have different significant impacts on current and future energy stock returns.

Suggested Citation

  • Xian Xi & Xiangyun Gao & Qing Guan & Nairong Liu & Sida Feng & Xueyong Liu & Pengli An, 2019. "Inferring Energy Stock Returns Based on Financial Indicators from the Network Perspective," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(12), pages 2738-2755, September.
    • Handle: RePEc:mes:emfitr:v:55:y:2019:i:12:p:2738-2755
    DOI: 10.1080/1540496X.2019.1610875
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    Cited by:

    1. Chen, Wei & Qu, Shuai & Jiang, Manrui & Jiang, Cheng, 2021. "The construction of multilayer stock network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).

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