An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach

被引:41
作者
Kazemilari, Mansooreh [1 ]
Mardani, Abbas [2 ]
Streimikiene, Dalia [3 ]
Zavadskas, Edmundas Kazimieras [4 ]
机构
[1] Univ Teknol Malaysia, Fac Sci, Dept Math Sci, Skudai Johor 81300, Malaysia
[2] Univ Teknol Malaysia, Fac Management, Skudai Johor 81300, Malaysia
[3] Lithuanian Energy Inst, Breslaujos3, LT-44403 Kaunas, Lithuania
[4] Vilnius Gediminas Tech Univ, Dept Construct Technol & Management, Sauletekio Al 11, LT-10223 Vilnius, Lithuania
关键词
Renewable energy; Stock exchange; Minimum spanning trees (MSTs); Financial market; HIERARCHICAL STRUCTURE; NETWORK STRUCTURE; EQUITY MARKETS; CLEAN ENERGY; CANADIAN OIL; PRICES; CONSUMPTION; INFORMATION; EVOLUTION; TAXONOMY;
D O I
10.1016/j.renene.2016.10.029
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The renewable energy industry has the important role in overall growth in the worldwide economy in the last two decades. This paper constitutes a first analysis on renewable energy companies in stock exchange by used the minimum spanning trees (MSTs) approach. In this study, the daily closure prices data of 70 stocks of renewable energy companies during the time period from 13th October 2010 to 4th March 2015 are investigated. In stock market analysis, the interrelations among stocks are represented in terms of Pearson correlation coefficient (PCC). This is the standard practice to construct the stock network. With the precondition of time series are synchronous, the similarity among the stocks is quantified by the PCC between the logarithmic exchange rate returns of i and j stocks. In order to analyze the topological properties of MST, three major centrality measures are used, namely; degree, closeness and betweenness centralities. Result of this paper indicated that; First Solar Inc., General Cable Corporation and Trina Solar are more important within the network, moreover; we found that; these stocks play a significant role in renewable energy development in terms of market capitals. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:107 / 117
页数:11
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