D 2015

Evaluation of credibility of civil construction companies in South bohemia

VOCHOZKA, Marek, Zuzana ROWLAND a Jaromír VRBKA

Základní údaje

Originální název

Evaluation of credibility of civil construction companies in South bohemia

Název česky

Hodnocení kredibility stavebních podniků v Jihočeském kraji

Vydání

1. vyd. České Budějovice, Innovative Economic Symposium 2015, od s. 145-161, 17 s. 2015

Nakladatel

Vysoká škola technická a ekonomická v Českých Budějovicích

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50200 5.2 Economics and Business

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

paměťový nosič (CD, DVD, flash disk)

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

ISSN

Klíčová slova česky

Stavební podnik; finanční tíseň; predikce; umělé neuronové sítě; model

Klíčová slova anglicky

Construction company; financial problems; prediction; artificial neural network; model

Štítky

Změněno: 4. 2. 2016 10:30, Mgr. Václav Karas

Anotace

V originále

"The aim of this article is to apply a neural network to be able to predict potential financial problems in construction companies based in the Region of South Bohemia of the Czech Republic. Data on all construction companies in the Region of South Bohemia over the period 2003 – 2013 were used for the modelling of the neural network. The data file contained 1,219 records of companies for the individual years. These records included both financial statements and non-accounting data (e.g. data on company employees, and proportional indicators as the case may be). The following networks were used for modelling the neural network: a linear network; a probabilistic neural network (PNN); a generalised regression neural network (GRNN); a radial basis function network (RBF); a three-layer perceptron network (TLP) and a four-layer perceptron network (FLP). The analysis resulted in a specific model of an artificial neural network. The neural network was able to determine with more than ninety per cent accuracy whether a company is able to overcome potential financial problems, within how many years a company might go bankrupt, or whether a company might go bankrupt within one calendar year. The text also includes the basic statistical characteristics of the examined sample and the achieved results (sensitivity analysis, confusion matrix, etc.). The model can be utilised by the managers of construction companies, competitors, etc."