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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F17%3A00004339" target="_blank" >RIV/46747885:24220/17:00004339 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/46747885:24310/17:00004339

Výsledek na webu

<a href="https://sgemworld.at/ssgemlib/spip.php?article4801&lang=en" target="_blank" >https://sgemworld.at/ssgemlib/spip.php?article4801&lang=en</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/sgemsocial2017/13/s03.045" target="_blank" >10.5593/sgemsocial2017/13/s03.045</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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. 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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. 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.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

50206 - Finance

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů