Issue |
E3S Web Conf.
Volume 108, 2019
Energy and Fuels 2018
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 10 | |
Section | Energy | |
DOI | https://doi.org/10.1051/e3sconf/201910801007 | |
Published online | 05 July 2019 |
The impact of capital structure on the market value of energy sector companies on the example of companies from Poland
AGH University of Science and Technology, Faculty of Mining and Geoengineering, al. A. Mickiewicza 30, 30-059 Kraków, Poland
* Corresponding author: rranosz@agh.edu.pl
The focus of this article is to analyse the impact of capital structure on the value of energy sector companies listed on the Warsaw Stock Exchange. The proposed study will cover the last four years, i.e. 2014-2017, in quarterly terms. In addition to the mentioned capital structure parameter, the analysis also covers such indicators as return on equity (ROE) and return on assets (ROA). The study will use multiple regression based on the deltas of the respective parameters describing their changes quarter-to-quarter. The author of this publication assumes that capital structure may have an impact on the value of energy sector companies. The assumption is based on the market phenomenon whereby capital structure seems to reflect to a certain extent the risk incurred by investors: on the one hand, the higher the share of borrowed capital in financing an enterprise’s operations, the higher the risk; on the other hand, the higher the proportion of equity in the financing of corporate operations, the lower the chance for dividends to be paid to investors in the respective companies. Investigating the mentioned phenomenon will make it possible, to a certain extent, to answer the question of whether Polish investors are more willing to accept investment risk in exchange for a higher return on investment or whether they would rather limit investment risk and yield lower profit from the capital invested in a given enterprise.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.