Inferring Energy Stock Returns Based on Financial Indicators from the Network Perspective. Issue 12 (26th September 2019)

• Record Type: Journal Article
• Authors: Xi, Xian; Gao, Xiangyun; Guan, Qing; Liu, Nairong; Feng, Sida; Liu, Xueyong; An, Pengli
• Is Part Of: Emerging markets finance & trade. Volume 55:Issue 12(2019)
• Page Start: 2738
• Page End: 2755
• Publication Date: 2019-09-26
• Subjects: Complex network -- financial indicators -- regression model -- stock returns; C51 -- G1 -- G11l; Balkan Peninsula -- Commerce -- Periodicals; Balkan Peninsula -- Foreign economic relations -- Periodicals; Europe, Central -- Commerce -- Periodicals; Europe, Central -- Foreign economic relations -- Periodicals; Europe, Eastern -- Commerce -- Periodicals; Europe, Eastern -- Foreign economic relations -- Periodicals; Turkey -- Commerce -- Periodicals; Turkey -- Foreign economic relations -- Periodicals; Asia -- Commerce -- Periodicals; Asia -- Foreign economic relations -- Periodicals; Eurasia -- Commerce -- Periodicals; Eurasia -- Foreign economic relations -- Periodicals; 382.05
• DOI: 10.1080/1540496X.2019.1610875
• Languages: English
• ISSNs: 1540-496X

Abstract

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.