Indicating Financial Health of Czech Companies with the Support of Modern Methods of Multidimensional Data Processing

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dc.contributor.authorHyblerová Šárkacs
dc.contributor.authorČerníková Martinacs
dc.contributor.authorMalíková Olgacs
dc.contributor.authorLamr Mariáncs
dc.contributor.authorCísařová Kláracs
dc.date.accessioned2018-09-25T12:11:58Z
dc.date.available2018-09-25T12:11:58Z
dc.date.issued2017cs
dc.description.abstractFinancial health of companies is a topic that has been historically studied under various conditions. However, the current economy is a living organism and, the conditions affecting the financial health of companies are changing dynamically. There are many ways how to evaluate the financial health of a company. In addition to the use of the ratio indicators, complex models using one numeric indicator expressing the financial health of the company can be applied. These include, for example, bankruptcy and credibility models. These models are based on the assumption that companies had been experiencing certain anomalies some years before their bankruptcy, indicating future problems in their economic activities, which are typical for units at the risk of bankruptcy. A major problem for the company’s financial health research has so far been the lack of relevant electronic data over a longer timeframe. This situation is changing significantly today. One source that can be used in the Czech Republic now is the MagnusWeb database of the Bisnode company. This database provides a relatively large amount of data that can be tested and examined. With the development of computer science, applications for multi-dimensional data processing in the form of neural networks, clustering, genetic algorithms or decision trees can be used for this study. The basic element of this article is the research of financial health of companies in the Czech Republic using advanced methods of multi-dimensional data analysis. Thanks to this approach, it is possible to examine extensive data and verify the validity of existing complex models in the economic practice of the Czech companies.en
dc.format.extent8cs
dc.identifier.doi10.5593/sgemsocial2017/13/s03.045
dc.identifier.isbn978-619-7408-15-7cs
dc.identifier.issn2367-5659cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/30886
dc.identifier.urihttps://sgemsocial.org/ssgemlib/spip.php?article4801&lang=en
dc.language.isoengcs
dc.publisherStef92 Technologycs
dc.publisher.citySofia, Bulgariacs
dc.relation.ispartofseries0cs
dc.relation.urihttps://sgemworld.at/ssgemlib/spip.php?article4801&lang=encs
dc.subjectfinancial health of companiescs
dc.subjectbankruptcy modelscs
dc.subjectdatabasescs
dc.subjectdata mining applicationscs
dc.titleIndicating Financial Health of Czech Companies with the Support of Modern Methods of Multidimensional Data Processingen
local.citation.epage353-360cs
local.citation.spage353-360cs
local.identifier.publikace4339
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