dc.contributor.author | Dvořáček, Jaroslav | |
dc.contributor.author | Sousedíková, Radmila | |
dc.contributor.author | Barták, Pavel | |
dc.contributor.author | Štěrba, Jiří | |
dc.contributor.author | Novák, Kamil | |
dc.date.accessioned | 2013-11-27T14:15:12Z | |
dc.date.available | 2013-11-27T14:15:12Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Acta Montanistica Slovaca. 2012, roč. 17, č. 2, s. 111-118. | cs |
dc.identifier.issn | 1335-1788 | |
dc.identifier.uri | http://hdl.handle.net/10084/101287 | |
dc.description.abstract | The subject of this paper is financial forecasting. The objective is to predict whether a company can continue in successful operation
or is jeopardised by default. The paper takes into account an application of discriminate analysis concerning data files of 85 non-bankrupt,
and 85 bankrupt firms in the Czech Republic, at which point mining companies are in minority, industrial enterprises predominate. 5-8 input
variables in the form of ratios and indexes have been used for the analysis. The non-bankrupt vis-à-vis bankrupt classification accuracy
is defined. | cs |
dc.format.extent | 267010 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | cs |
dc.publisher | Technická univerzita Košice | cs |
dc.relation.ispartofseries | Acta Montanistica Slovaca | cs |
dc.relation.uri | http://actamont.tuke.sk/pdf/2012/n2/4_Dvoracek.pdf | cs |
dc.rights | © Faculty of Mining, Ecology, Process Control and Geotechnologies (FBERG), Technical University of Kosice | cs |
dc.subject | bankruptcy | cs |
dc.subject | discriminate analysis | cs |
dc.subject | prediction accuracy | cs |
dc.title | Forecasting companies' future economic development | cs |
dc.type | article | cs |
dc.rights.access | openAccess | |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 17 | cs |
dc.description.issue | 2 | cs |
dc.description.lastpage | 118 | cs |
dc.description.firstpage | 111 | cs |
dc.identifier.wos | 000324679900004 | |