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Network Topology of Renewable Energy Sector in Stock Exchange

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  • Mansooreh Kazemilari
  • Ali Mohamadi
  • Abbas Mardani
  • Dalia Streimikiene

Abstract

In today's global economy, the most prominent position clean energy is basically viewed as the highest-speed growing branch. Sustainable energy, perpetual climate change, and technological advancements are the reasons from which this foreground position results from. Regarding the debate of effects of pollution and the importance of the alternative fuels, the more awareness people improve, the more interested they are to invest in clean energy. This paper brings to a focus the inspection of clean energy and the way any market would analysis the influential stocks which have an effect on the other. In this regard, correlation network approach has extensively applied to explore the financial markets properties. In econophysics, technical topology network is defined for analyzing the interaction between stocks to find significant implications to optimize the portfolio. Network topology shows the physical layout of a network. It refers to the way in which per stock is located and interconnected to other stocks. This study analyse the topological properties of network on a set of 62 stocks in renewable energy companies from 30th February 2015 to 3th March 2016 to aid to the interpretation of relationships in the network structure and find influencing stocks.

Suggested Citation

  • Mansooreh Kazemilari & Ali Mohamadi & Abbas Mardani & Dalia Streimikiene, 2018. "Network Topology of Renewable Energy Sector in Stock Exchange," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(2), pages 167-174.
    • Handle: RePEc:mje:mjejnl:v:14:y:2018:i:2:p:167-174
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    References listed on IDEAS

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    1. Pawe{l} Sieczka & Janusz A. Ho{l}yst, 2008. "Correlations in commodity markets," Papers 0803.3884, arXiv.org, revised Jan 2009.
    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. 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.
    4. 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.
    5. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871.
    6. 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.
    7. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    8. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    9. 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.
    10. 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.
    11. 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.
    12. Sieczka, Paweł & Hołyst, Janusz A., 2009. "Correlations in commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1621-1630.
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    2. Svitlana Kolosok & Yuriy Bilan & Tetiana Vasylieva & Adam Wojciechowski & Michał Morawski, 2021. "A Scoping Review of Renewable Energy, Sustainability and the Environment," Energies, MDPI, vol. 14(15), pages 1-19, July.
    3. Tetyana Vasylieva & Vladyslav Pavlyk & Yuriy Bilan & Grzegorz Mentel & Marcin Rabe, 2021. "Assessment of Energy Efficiency Gaps: The Case for Ukraine," Energies, MDPI, vol. 14(5), pages 1-14, March.

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