Network Topology of Renewable Energy Sector in Stock Exchange
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Montenegro - Faculty of Economics Podgorica
2018-06-01
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| Series: | Montenegrin Journal of Economics |
| Subjects: | |
| Online Access: | http://www.mnje.com/sites/mnje.com/files/167-174_-__kazemilari_mohamadi_mardani_and_dalia.pdf |
| _version_ | 1818584874949279744 |
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| author | Mansooreh Kazemilari Ali Mohamadi Abbas Mardani Dalia Streimikiene |
| author_facet | Mansooreh Kazemilari Ali Mohamadi Abbas Mardani Dalia Streimikiene |
| author_sort | Mansooreh Kazemilari |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T08:28:07Z |
| format | Article |
| id | doaj.art-ad489b9b7ecd42ea800e565b7bb60e59 |
| institution | Directory Open Access Journal |
| issn | 1800-5845 1800-6698 |
| language | English |
| last_indexed | 2024-12-16T08:28:07Z |
| publishDate | 2018-06-01 |
| publisher | University of Montenegro - Faculty of Economics Podgorica |
| record_format | Article |
| series | Montenegrin Journal of Economics |
| spelling | doaj.art-ad489b9b7ecd42ea800e565b7bb60e592022-12-21T22:37:56ZengUniversity of Montenegro - Faculty of Economics PodgoricaMontenegrin Journal of Economics1800-58451800-66982018-06-0114216717410.14254/1800-5845/2018.14-2.11Network Topology of Renewable Energy Sector in Stock ExchangeMansooreh KazemilariAli MohamadiAbbas MardaniDalia StreimikieneIn 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.http://www.mnje.com/sites/mnje.com/files/167-174_-__kazemilari_mohamadi_mardani_and_dalia.pdfTopological network analysisStock marketRenewable energy sector |
| spellingShingle | Mansooreh Kazemilari Ali Mohamadi Abbas Mardani Dalia Streimikiene Network Topology of Renewable Energy Sector in Stock Exchange Montenegrin Journal of Economics Topological network analysis Stock market Renewable energy sector |
| title | Network Topology of Renewable Energy Sector in Stock Exchange |
| title_full | Network Topology of Renewable Energy Sector in Stock Exchange |
| title_fullStr | Network Topology of Renewable Energy Sector in Stock Exchange |
| title_full_unstemmed | Network Topology of Renewable Energy Sector in Stock Exchange |
| title_short | Network Topology of Renewable Energy Sector in Stock Exchange |
| title_sort | network topology of renewable energy sector in stock exchange |
| topic | Topological network analysis Stock market Renewable energy sector |
| url | http://www.mnje.com/sites/mnje.com/files/167-174_-__kazemilari_mohamadi_mardani_and_dalia.pdf |
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