The energy stock market is characterized by high returns and strong volatility, and little is known about possible interactions between these companies in the literature. We studied the time series of 18 European energy companies’ daily stock prices during 2008–2018, including oil and natural gas prices. To analyze the relationship between the companies’ stocks in the study, the Minimal Spanning Tree Method was used. Results pointed that companies like Engie and OMV, ENI, and Total possibly promote cooperation dynamics, namely clustering. Iberdrola, Total, and OMV companies play an essential role in the network, as an element of linkage and influence that can coordinate the information between the companies’ stocks. Displaying the most rele...
By studying M&A deals completed by European energy and power companies between 2002 and 2021, the pa...
Oil companies are powerful international actors, and have formed complex networks by building relati...
The systems involving interacting agents such as food networks, scientific citations, social network...
The renewable energy industry has the important role in overall growth in the worldwide economy in t...
The energy sector occupies a mainstay role in overall growth in the modern worldwide economy. Theref...
Renewable energy has become a significant market player after the turn of the millennium. Wind, sola...
We present a study, within the scope of econophysics, of the hierarchical structure of 98 among the ...
In today's global economy, the most prominent position clean energy is basically viewed as the high...
The thesis is focused on fundamental stock analysis of selected European energy companies. The highe...
In today's global economy, the most prominent position clean energy is basically viewed as the highe...
Previous studies in energy stock markets have analyzed market connectedness using aggregate indexes ...
This study reports on topology of the top 40 UK companies that have been analysed for predictive ver...
In this article, we aim to study systemic risk spillovers for European energy companies and to deter...
Challenges in the energy sector have been greatly exacerbated by Coronavirus disease (COVID-19). The...
Along this thesis the analysis is based on a sample of daily closing prices of 40 different companie...
By studying M&A deals completed by European energy and power companies between 2002 and 2021, the pa...
Oil companies are powerful international actors, and have formed complex networks by building relati...
The systems involving interacting agents such as food networks, scientific citations, social network...
The renewable energy industry has the important role in overall growth in the worldwide economy in t...
The energy sector occupies a mainstay role in overall growth in the modern worldwide economy. Theref...
Renewable energy has become a significant market player after the turn of the millennium. Wind, sola...
We present a study, within the scope of econophysics, of the hierarchical structure of 98 among the ...
In today's global economy, the most prominent position clean energy is basically viewed as the high...
The thesis is focused on fundamental stock analysis of selected European energy companies. The highe...
In today's global economy, the most prominent position clean energy is basically viewed as the highe...
Previous studies in energy stock markets have analyzed market connectedness using aggregate indexes ...
This study reports on topology of the top 40 UK companies that have been analysed for predictive ver...
In this article, we aim to study systemic risk spillovers for European energy companies and to deter...
Challenges in the energy sector have been greatly exacerbated by Coronavirus disease (COVID-19). The...
Along this thesis the analysis is based on a sample of daily closing prices of 40 different companie...
By studying M&A deals completed by European energy and power companies between 2002 and 2021, the pa...
Oil companies are powerful international actors, and have formed complex networks by building relati...
The systems involving interacting agents such as food networks, scientific citations, social network...