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  • 标题:Enterprise Value Generators in the Building Industry
  • 本地全文:下载
  • 作者:Marek Vochozka ; Veronika Machová
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2017
  • 卷号:39
  • 页码:1-8
  • DOI:10.1051/shsconf/20173901029
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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.
  • 关键词:value generators;EVA Equity;enterprise value;artificial neural networks
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