Factors Affecting Bankruptcy Depending on the Size of the
Company

D 2022

Factors Affecting Bankruptcy Depending on the Size of the Company

SPONEROVÁ, Martina, Miroslav SVOBODA a Miroslav SPONER

Základní údaje

Originální název

Factors Affecting Bankruptcy Depending on the Size of the Company

Autoři

SPONEROVÁ, Martina (203 Česká republika, garant, domácí), Miroslav SVOBODA (203 Česká republika, domácí) a Miroslav SPONER (203 Česká republika)

Vydání

Cham, Německo, Sustainable Finance in the Green Economy, od s. 225-236, 12 s. 2022

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50206 Finance

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

Springer link

Kód RIV

RIV/00216224:14560/22:00125351

Organizační jednotka

Ekonomicko-správní fakulta

ISBN

978-3-030-81662-9

DOI

http://dx.doi.org/10.1007/978-3-030-81663-6_17

Klíčová slova anglicky

bankruptcy prediction; financial distress; SME; financial indicator; logistic regression

Štítky

topvydavatel

Změněno: 31. 3. 2023 16:23, Mgr. Pavlína Kurková

Anotace

V originále

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.

Návaznosti

MUNI/A/1120/2018, interní kód MU

Název: Vybrané aspekty rizik na finančních trzích (Akronym: VARFT)

Investor: Masarykova univerzita, Vybrané aspekty rizik na finančních trzích, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

SPONEROVÁ, Martina, Miroslav SVOBODA a 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, s. 225-236. ISBN 978-3-030-81662-9. Dostupné z: https://dx.doi.org/10.1007/978-3-030-81663-6_17.

@inproceedings{1832623,
   author = {Sponerová, Martina and Svoboda, Miroslav and Sponer, Miroslav},
   address = {Cham, Německo},
   booktitle = {Sustainable Finance in the Green Economy},
   doi = {http://dx.doi.org/10.1007/978-3-030-81663-6_17},
   editor = {Bem A., Daszynska-Zygadlo K., Hajdíková T., Jáki E., Ryszawska B.},
   keywords = {bankruptcy prediction; financial distress; SME; financial indicator; logistic regression},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Cham, Německo},
   isbn = {978-3-030-81662-9},
   pages = {225-236},
   publisher = {Springer},
   title = {Factors Affecting Bankruptcy Depending on the Size of the Company},
   url = {https://link.springer.com/conference/icfs},
   year = {2022}
}

TY  - JOUR
ID  - 1832623
AU  - Sponerová, Martina - Svoboda, Miroslav - Sponer, Miroslav
PY  - 2022
TI  - Factors Affecting Bankruptcy Depending on the Size of the Company
PB  - Springer
CY  - Cham, Německo
SN  - 9783030816629
KW  - bankruptcy prediction
KW  - financial distress
KW  - SME
KW  - financial indicator
KW  - logistic regression
UR  - https://link.springer.com/conference/icfs
N2  - 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.
ER  -

SPONEROVÁ, Martina, Miroslav SVOBODA a 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. \textit{Sustainable Finance in the Green Economy}. Cham, Německo: Springer, 2022, s.~225-236. ISBN~978-3-030-81662-9. Dostupné z: https://dx.doi.org/10.1007/978-3-030-81663-6\_{}17.

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