skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries

Oeconomia Copernicana, 2019-12, Vol.10 (4), p.743-772 [Peer Reviewed Journal]

2019. This work is published under https://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2083-1277 ;EISSN: 2353-1827 ;DOI: 10.24136/oc.2019.034

Full text available

Citations Cited by
  • Title:
    Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries
  • Author: Kováčová, Mária ; KLIESTIK, Tomas ; Valaskova, Katarina ; Durana, Pavol ; Juhászová, Zuzana
  • Subjects: Bankruptcy ; bankruptcy prediction ; Business Economy / Management ; Cluster analysis ; countries of visegrad four ; Economic crisis ; International finance ; Methodology and research technology ; National Economy ; Predictions ; Systematic review ; variables
  • Is Part Of: Oeconomia Copernicana, 2019-12, Vol.10 (4), p.743-772
  • Description: Research background: Since the first bankruptcy prediction models were developed in the 60’s of the 20th century, numerous different models have been constructed all over the world. These individual models of bankruptcy prediction have been developed in different time and space using different methods and variables. Therefore, there is a need to analyse them in the context of various countries, while the question about their suitability arises. Purpose of the article: The analysis of more than 100 bankruptcy prediction models developed in V4 countries confirms that enterprises in each country prefer different explanatory variables. Thus, we aim to review systematically the bankruptcy prediction models developed in the countries of Visegrad four and analyse them, with the emphasis on explanatory variables used in these models, and evaluate them using appropriate statistical methods Methods: Cluster analysis and correspondence analysis were used to explore the mutual relationships among the selected categories, e.g. clusters of explanatory variables and countries of the Visegrad group. The use of the cluster analysis focuses on the identification of homogenous subgroups of the explanatory variables to sort the variables into clusters, so that the variables within a common cluster are as much similar as possible. The correspondence analysis is used to examine if there is any statistically significant dependence between the monitored factors — bankruptcy prediction models of Visegrad countries and explanatory variables. Findings & Value added: Based on the statistical analysis applied, we confirmed that each country prefers different explanatory variables for developing the bankruptcy prediction model. The choice of an appropriate and specific variable in a specific country may be very helpful for enterprises, researchers and investors in the process of construction and development of bankruptcy prediction models in conditions of an individual country.
  • Publisher: Torun: Institute of Economic Research
  • Language: English
  • Identifier: ISSN: 2083-1277
    EISSN: 2353-1827
    DOI: 10.24136/oc.2019.034
  • Source: CEEOL: Open Access
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait