Detail publikace

Financial performance evaluation of the czech agricultural companies with factor analysis

HORNUNGOVÁ, J. MILICHOVSKÝ, F.

Originální název

Financial performance evaluation of the czech agricultural companies with factor analysis

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

The article is focused on determination of the financial indicators influencing corporate performance of agricultural companies. Traditional financial indicators (calculated from accounting data) are still used to evaluate performance level; this approach to evaluation and comparison of performance has been considered to be the most appropriate approach over a long period of time in spite of different accounting and financial indicators. Data from 1985 agricultural companies have been analysed. Correlation analysis and factor analysis have been employed to eliminate information duplication and reduce dimensionality. Application of these methods has reduced the basic set, originally formed by thirteen key financial indicators, into three key groups (indexes): operational factor, profit factor and return factor. At the same time, Pearson’s chi-square test has indicated the dependency between the above mentioned factors (indices) and company size; the most significant factor being the “operational factor” with the strongest power in relation to the company size.

Klíčová slova

Financial performance, Indicators, Factor analysis, Factor indexes, Agricultural companies.

Autoři

HORNUNGOVÁ, J.; MILICHOVSKÝ, F.

Vydáno

22. 9. 2016

Nakladatel

The University of Pardubice

Místo

Pardubice

ISSN

1211-555X

Periodikum

Sborník vědeckých prací University Pardubice

Ročník

23

Číslo

37

Stát

Česká republika

Strany od

26

Strany do

38

Strany počet

13

BibTex

@article{BUT128427,
  author="Jana {Hornungová} and František {Milichovský}",
  title="Financial performance evaluation of the czech agricultural companies with factor analysis",
  journal="Sborník vědeckých prací University Pardubice",
  year="2016",
  volume="23",
  number="37",
  pages="26--38",
  issn="1211-555X"
}