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Assessment of bankruptcy risks in Czech companies using regression analysis

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dc.title Assessment of bankruptcy risks in Czech companies using regression analysis en
dc.contributor.author Yousaf, Muhammad
dc.contributor.author Briš, Petr
dc.relation.ispartof Problems and Perspectives in Management
dc.identifier.issn 1727-7051 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2021
utb.relation.volume 19
utb.relation.issue 3
dc.citation.spage 46
dc.citation.epage 55
dc.type article
dc.language.iso en
dc.publisher LLC CPC Business Perspectives
dc.identifier.doi 10.21511/ppm.19(3).2021.05
dc.relation.uri https://www.businessperspectives.org/index.php/journals/problems-and-perspectives-in-management/issue-386/assessment-of-bankruptcy-risks-in-czech-companies-using-regression-analysis
dc.subject COVID-19 en
dc.subject Cribis database en
dc.subject Czech firms en
dc.subject financial ratios en
dc.subject stepwise regression en
dc.description.abstract Bankruptcy is an important topic in academic research and practice. It is a burning issue worldwide in the current COVID-19 situation. The aim of this study is to examine the financial risks of Czech companies. By employing the stepwise regression technique to estimate the financial risks, the p-values of all selected 15 financial ratios (explanatory variables) were calculated. If the p-value of the variable is more than the level of significance, the particular variable is removed from the model and another regression model is calculated. The findings from the stepwise regression revealed that return on capital, current ratio, net working capital turnover rate, and current assets turnover rate have a positive influence on company’s financial health. On the contrary, return on capital employed, asset turnover rate, inventory turnover rate, fixed assets turnover rate, and debt to equity ratio negatively impact the company’s financial health. The findings of this study will be fruitful for managers, policymakers, and investors of the companies to estimate and assess financial risks. © Muhammad Yousaf, Petr Bris, 2021. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1010543
utb.identifier.obdid 43882530
utb.identifier.scopus 2-s2.0-85114307475
utb.source j-scopus
dc.date.accessioned 2021-09-14T09:02:24Z
dc.date.available 2021-09-14T09:02:24Z
dc.description.sponsorship Univerzita Tomáše Bati ve Zlíně: IGA/FAME/2021/008, IGA/FAME/2021/014
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.ou Department of Industrial Engineering and Information Systems
utb.contributor.internalauthor Yousaf, Muhammad
utb.contributor.internalauthor Briš, Petr
utb.fulltext.affiliation Muhammad Yousaf, Ph.D. Student, Department of Industrial Engineering and Information Systems, Faculty of Management and Economics, TomasBata University, the Czech Republic.(Corresponding author) Petr Bris, Ph.D., Associate Professor, Department of Industrial Engineering and Information systems, Faculty of Management and Economics, TomasBata University, the Czech Republic.
utb.fulltext.dates Received on: 20th of April, 2021 Accepted on: 16th of June, 2021 Published on: 27th of July, 2021
utb.fulltext.sponsorship This study is supported by the Internal Grant Agency (IGA) in Tomas Bata University in Zlin, the Czech Republic, under the projects No IGA/FAME/2021/008 and IGA/FAME/2021/014.
utb.scopus.affiliation Department of Industrial Engineering and Information Systems, Faculty of Management and Economics, Tomas Bata University, Czech Republic; Department of Industrial Engineering and Information Systems, Faculty of Management and Economics, Tomas Bata University, Czech Republic
utb.fulltext.projects IGA/FAME/2021/008
utb.fulltext.projects IGA/FAME/2021/014
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou Department of Industrial Engineering and Information Systems
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