Factors Affecting Bankruptcy Depending on the Size of the Company


SPONEROVÁ Martina SVOBODA Miroslav SPONER Miroslav

Year of publication 2022
Type Article in Proceedings
Conference Sustainable Finance in the Green Economy
MU Faculty or unit

Faculty of Economics and Administration

Web Springer link
Doi http://dx.doi.org/10.1007/978-3-030-81663-6_17
Keywords bankruptcy prediction; financial distress; SME; financial indicator; logistic regression
Description 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.
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