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

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  • Kazemilari, Mansooreh
  • Mardani, Abbas
  • Streimikiene, Dalia
  • Zavadskas, Edmundas Kazimieras

Abstract

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.

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  • Kazemilari, Mansooreh & Mardani, Abbas & Streimikiene, Dalia & Zavadskas, Edmundas Kazimieras, 2017. "An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach," Renewable Energy, Elsevier, vol. 102(PA), pages 107-117.
  • Handle: RePEc:eee:renene:v:102:y:2017:i:pa:p:107-117
    DOI: 10.1016/j.renene.2016.10.029
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    as
    1. F. Pozzi & T. Di Matteo & T. Aste, 2008. "Centrality And Peripherality In Filtered Graphs From Dynamical Financial Correlations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 927-950.
    2. Boyer, M. Martin & Filion, Didier, 2007. "Common and fundamental factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 29(3), pages 428-453, May.
    3. Alex YiHou Huang & Chiao-Ming Cheng & Wen-Cheng Hu & Chih-Chun Chen, 2012. "Oil Prices and Stock Prices of Alternative Energy Companies: Time Varying Relationship with Recent Evidence," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 8(2), pages 221-258, July.
    4. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871.
    5. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    6. Managi, Shunsuke & Okimoto, Tatsuyoshi, 2013. "Does the price of oil interact with clean energy prices in the stock market?," Japan and the World Economy, Elsevier, vol. 27(C), pages 1-9.
    7. Tabak, Benjamin M. & Serra, Thiago R. & Cajueiro, Daniel O., 2009. "The expectation hypothesis of interest rates and network theory: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1137-1149.
    8. Jung, Woo-Sung & Chae, Seungbyung & Yang, Jae-Suk & Moon, Hie-Tae, 2006. "Characteristics of the Korean stock market correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(1), pages 263-271.
    9. Garas, Antonios & Argyrakis, Panos, 2007. "Correlation study of the Athens Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 399-410.
    10. Réka Albert & Hawoong Jeong & Albert-László Barabási, 1999. "Diameter of the World-Wide Web," Nature, Nature, vol. 401(6749), pages 130-131, September.
    11. Siew Ann Cheong, 2013. "Econophysics: An Experimental Course for Advanced Undergraduates in the Nanyang Technological University," IIM Kozhikode Society & Management Review, , vol. 2(2), pages 79-99, July.
    12. Henriques, Irene & Sadorsky, Perry, 2008. "Oil prices and the stock prices of alternative energy companies," Energy Economics, Elsevier, vol. 30(3), pages 998-1010, May.
    13. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    14. Nalan, Çiçek Bezir & Murat, Öztürk & Nuri, Özek, 2009. "Renewable energy market conditions and barriers in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1428-1436, August.
    15. Keskin, Mustafa & Deviren, Bayram & Kocakaplan, Yusuf, 2011. "Topology of the correlation networks among major currencies using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 719-730.
    16. Giovanni Bonanno & Nicolas Vandewalle & Rosario N. Mantegna, 2000. "Taxonomy of Stock Market Indices," Papers cond-mat/0001268, arXiv.org, revised Aug 2000.
    17. D. König Michael & Stefano Battiston, 2009. "From Graph Theory to Models of Economic Networks. A Tutorial," Lecture Notes in Economics and Mathematical Systems, in: Ahmad K. Naimzada & Silvana Stefani & Anna Torriero (ed.), Networks, Topology and Dynamics, pages 23-63, Springer.
    18. Bohl, Martin T. & Kaufmann, Philipp & Stephan, Patrick M., 2013. "From hero to zero: Evidence of performance reversal and speculative bubbles in German renewable energy stocks," Energy Economics, Elsevier, vol. 37(C), pages 40-51.
    19. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    20. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 523-543, December.
    21. Yiting Zhang & Gladys Hui Ting Lee & Jian Cheng Wong & Jun Liang Kok & Manamohan Prusty & Siew Ann Cheong, 2010. "Will the US Economy Recover in 2010? A Minimal Spanning Tree Study," Papers 1009.5800, arXiv.org, revised Dec 2010.
    22. Jaroslaw Kwapien & Sylwia Gworek & Stanislaw Drozdz & Andrzej Gorski, 2009. "Analysis of a network structure of the foreign currency exchange market," Papers 0906.0480, arXiv.org.
    23. Pacesila, Mihaela & Burcea, Stefan Gabriel & Colesca, Sofia Elena, 2016. "Analysis of renewable energies in European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 156-170.
    24. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    25. Ulusoy, Tolga & Keskin, Mustafa & Shirvani, Ayoub & Deviren, Bayram & Kantar, Ersin & Çaǧrı Dönmez, Cem, 2012. "Complexity of major UK companies between 2006 and 2010: Hierarchical structure method approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5121-5131.
    26. Cieslik, Dietmar, 2000. "The vertex degrees of minimum spanning trees," European Journal of Operational Research, Elsevier, vol. 125(2), pages 278-282, September.
    27. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
    28. Jang, Wooseok & Lee, Junghoon & Chang, Woojin, 2011. "Currency crises and the evolution of foreign exchange market: Evidence from minimum spanning tree," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 707-718.
    29. Kumar, Surender & Managi, Shunsuke & Matsuda, Akimi, 2012. "Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis," Energy Economics, Elsevier, vol. 34(1), pages 215-226.
    30. Erdinc, Ozan & Paterakis, Nikolaos G. & Catalão, João P.S., 2015. "Overview of insular power systems under increasing penetration of renewable energy sources: Opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 333-346.
    31. Jarosław Kwapień & Sylwia Gworek & Stanisław Drożdż & Andrzej Górski, 2009. "Analysis of a network structure of the foreign currency exchange market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(1), pages 55-72, June.
    32. Naylor, Michael J. & Rose, Lawrence C. & Moyle, Brendan J., 2007. "Topology of foreign exchange markets using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 199-208.
    33. Sivarasu, S.R. & Chandira Sekaran, E. & Karthik, P., 2015. "Development of renewable energy based microgrid project implementations for residential consumers in India: Scope, challenges and possibilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 256-269.
    34. Pawe{l} Sieczka & Janusz A. Ho{l}yst, 2008. "Correlations in commodity markets," Papers 0803.3884, arXiv.org, revised Jan 2009.
    35. Bivona, S. & Bonanno, G. & Burlon, R. & Gurrera, D. & Leone, C., 2008. "Taxonomy of correlations of wind velocity — an application to the Sicilian area," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(23), pages 5910-5915.
    36. G. Bonanno & G. Caldarelli & F. Lillo & S. Micciché & N. Vandewalle & R. Mantegna, 2004. "Networks of equities in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 363-371, March.
    37. Rafindadi, Abdulkadir Abdulrashid & Ozturk, Ilhan, 2016. "Effects of financial development, economic growth and trade on electricity consumption: Evidence from post-Fukushima Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1073-1084.
    38. B. M. Tabak & T. R. Serra & D. O. Cajueiro, 2010. "Topological properties of commodities networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 74(2), pages 243-249, March.
    39. Jaroslaw Kwapien & Sylwia Gworek & Stanislaw Drozdz, 2009. "Structure and evolution of the foreign exchange networks," Papers 0901.4793, arXiv.org.
    40. Lu, Hong-fang & Lin, Bin-le & Campbell, Daniel E. & Sagisaka, Masayuki & Ren, Hai, 2016. "Interactions among energy consumption, economic development and greenhouse gas emissions in Japan after World War II," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1060-1072.
    41. Moosavian, S.M. & Rahim, N.A. & Selvaraj, J. & Solangi, K.H., 2013. "Energy policy to promote photovoltaic generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 44-58.
    42. Brida, Juan Gabriel & Esteban, Laura Parte & Risso, Wiston Adrián & Such Devesa, María Jesús, 2010. "The international hotel industry in Spain: Its hierarchical structure," Tourism Management, Elsevier, vol. 31(1), pages 57-73.
    43. Yanine, Franco Fernando & Caballero, Federico I. & Sauma, Enzo E. & Córdova, Felisa M., 2014. "Homeostatic control, smart metering and efficient energy supply and consumption criteria: A means to building more sustainable hybrid micro-generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 235-258.
    44. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    45. H. Jeong & B. Tombor & R. Albert & Z. N. Oltvai & A.-L. Barabási, 2000. "The large-scale organization of metabolic networks," Nature, Nature, vol. 407(6804), pages 651-654, October.
    46. Gilmore, Claire G. & Lucey, Brian M. & Boscia, Marian, 2008. "An ever-closer union? Examining the evolution of linkages of European equity markets via minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(25), pages 6319-6329.
    47. Zhang, Yiting & Lee, Gladys Hui Ting & Wong, Jian Cheng & Kok, Jun Liang & Prusty, Manamohan & Cheong, Siew Ann, 2011. "Will the US economy recover in 2010? A minimal spanning tree study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2020-2050.
    48. Reyaz A. Ahmad, 2009. "The Sun Rises on the Solar Sector," World Bank Publications - Reports 10553, The World Bank Group.
    49. Reboredo, Juan C., 2015. "Renewable energy contribution to the energy supply: Is there convergence across countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 290-295.
    50. Tola, Vincenzo & Lillo, Fabrizio & Gallegati, Mauro & Mantegna, Rosario N., 2008. "Cluster analysis for portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 235-258, January.
    51. Faff, Robert W. & Brailsford, Timothy J., 1999. "Oil price risk and the Australian stock market," Journal of Energy Finance & Development, Elsevier, vol. 4(1), pages 69-87, June.
    52. Katsaprakakis, Dimitris Al. & Christakis, Dimitris G., 2016. "The exploitation of electricity production projects from Renewable Energy Sources for the social and economic development of remote communities. The case of Greece: An example to avoid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 341-349.
    53. J.-P. Onnela & K. Kaski & J. Kertész, 2004. "Clustering and information in correlation based financial networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 353-362, March.
    54. Sadorsky, Perry, 2001. "Risk factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 23(1), pages 17-28, January.
    55. Coelho, Ricardo & Gilmore, Claire G. & Lucey, Brian & Richmond, Peter & Hutzler, Stefan, 2007. "The evolution of interdependence in world equity markets—Evidence from minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 455-466.
    56. Tabak, Benjamin M. & Serra, Thiago R. & Cajueiro, Daniel O., 2010. "Topological properties of stock market networks: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3240-3249.
    57. Deni Khanafiah & Hokky Situngkir, 2004. "Innovation as Evolution," Industrial Organization 0412009, University Library of Munich, Germany.
    58. Sieczka, Paweł & Hołyst, Janusz A., 2009. "Correlations in commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1621-1630.
    59. Mizuno, Takayuki & Takayasu, Hideki & Takayasu, Misako, 2006. "Correlation networks among currencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 336-342.
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