Issue |
SHS Web Conf.
Volume 39, 2017
Innovative Economic Symposium 2017 (IES2017)
|
|
---|---|---|
Article Number | 01029 | |
Number of page(s) | 8 | |
Section | Strategic Partnerships in International Trade | |
DOI | https://doi.org/10.1051/shsconf/20173901029 | |
Published online | 06 December 2017 |
Enterprise Value Generators in the Building Industry
1 Institute of Technology and Business, School of Expertness and Valuation, Okružní 517/10, 37001 České Budějovice, Czech Republic
2 University of Economics, Faculty of Business Administration, Nám. W. Churchilla 4, 13067 Praha 3 – Žižkov, Czech Republic
* Corresponding author: machova@mail.vstecb.cz
Value generators mark factors that influence the given enterprise´s success most. Thus, they refer to activities and abilities that increase profitability, decrease risk, and support the company´s growth. The aim of this contribution is to identify value generators in a building enterprise. The main presumption, however, is that the enterprise value will be measured by the EVA Equity indicator (Economic Value Added for the shareholders – owners). Data to be analysed come from the Albertina database. They include complete financial statements of building enterprises that operated on the market between 2006 and 2015. The data is organized into a table the EVA Equity in each enterprise is calculated per each year of its operation on the market. The table is subsequently imported into the Statistica software which searches for the extent to which the EVA Equity indicator is dependent on the individual items of financial statements. The result is a created adequate methodology and identification of value generators in building industries from 2006 to 2015 in the Czech Republic. The following variables are marked as the most significant: economic growth per current accounting period, equity, bank loans and bailouts, trade receivables, and current assets.
Key words: value generators / EVA Equity / enterprise value / artificial neural networks
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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