SPONEROVÁ, Martina, Miroslav SVOBODA and Miroslav SPONER. Factors Affecting Bankruptcy Depending on the Size of the Company. Online. In Bem A., Daszynska-Zygadlo K., Hajdíková T., Jáki E., Ryszawska B. Sustainable Finance in the Green Economy. Cham, Německo: Springer, 2022, p. 225-236. ISBN 978-3-030-81662-9. Available from: https://dx.doi.org/10.1007/978-3-030-81663-6_17.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Factors Affecting Bankruptcy Depending on the Size of the Company
Authors SPONEROVÁ, Martina (203 Czech Republic, guarantor, belonging to the institution), Miroslav SVOBODA (203 Czech Republic, belonging to the institution) and Miroslav SPONER (203 Czech Republic).
Edition Cham, Německo, Sustainable Finance in the Green Economy, p. 225-236, 12 pp. 2022.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50206 Finance
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW Springer link
RIV identification code RIV/00216224:14560/22:00125351
Organization unit Faculty of Economics and Administration
ISBN 978-3-030-81662-9
Doi http://dx.doi.org/10.1007/978-3-030-81663-6_17
Keywords in English bankruptcy prediction; financial distress; SME; financial indicator; logistic regression
Tags topvydavatel
Changed by Changed by: Mgr. Pavlína Kurková, učo 368752. Changed: 31/3/2023 16:23.
Abstract
The aim of this article is finding if there exist different factors that could predict bankruptcy depending on the size of the company and compare the differences. Our motivation is to show the most critical factors which have to be taken into attention when predicting bankruptcy. This paper focuses on the Czech economy, specifically at small and medium-sized enterprises (SMEs). It is the ongoing research about the value of several popular bankruptcy models that are often applied, namely the Altman Z-score, the Ohlson O-score, the Zmijewski’s model, the Taffler’s model, and the IN05 model. It uses significant predictors of these models. We have investigated around 2 800 companies from the segment small and medium-sized enterprises (SMEs), of which 638 failed during the period 2010 – 2017. We have investigated financial data for the years from 2010 to 2017. Results of the analysis confirm research hypotheses that there exist different factors which could predict bankruptcy depending on the size of the company and exploit common used financial indicators to assess the probability of bankruptcy precisely. We have found that for the segment of micro-enterprises is necessary to pay attention to liquidity and profitability. Small enterprises emphasize to leverage, liquidity and profitability while the model developed for the segment of medium-sized enterprises measures most of all leverage, liquidity and activity.
Links
MUNI/A/1120/2018, interní kód MUName: Vybrané aspekty rizik na finančních trzích (Acronym: VARFT)
Investor: Masaryk University, Category A
PrintDisplayed: 7/7/2024 01:06