Dependence of Company Size on Factors Influencing Bankruptcy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F20%3A00116790" target="_blank" >RIV/00216224:14560/20:00116790 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21630/21:00351805

Výsledek na webu

<a href="http://dx.doi.org/10.1051/shsconf/20219203028" target="_blank" >http://dx.doi.org/10.1051/shsconf/20219203028</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/shsconf/20219203028" target="_blank" >10.1051/shsconf/20219203028</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dependence of Company Size on Factors Influencing Bankruptcy

Popis výsledku v původním jazyce

Research back ground: There is extensive empirical literature on default prediction methodologies. Many authors during the last fifty years have examined several possibilities to predict default or business failure. The reviews from the last years show that the closer the similarity of businesses, the greater accuracy of bankruptcy models. Purpose of the article: The aim of this article is finding if there exist different factors that could predict bankruptcy depending on the size of the company. Our motivation is to show if there exist differences when predicting bankruptcy according the size of the company. Methods: 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. We have used logistic regression and investigated around 2 800 companies, of which 642 failed during the period 2010 – 2017. Findings &amp; Value added: Our hypothesis that there exist different factors which could predict bankruptcy depending on the size of the company was confirmed. We have found that for the segment of micro-enterprises is necessary to pay attention to different financial indicators. Small enterprises emphasizes mostly to assets while the model developed for the segment of medium-sized enterprises measures most of all assets in various form and liabilities in various form.

Název v anglickém jazyce

Dependence of Company Size on Factors Influencing Bankruptcy

Popis výsledku anglicky

Research back ground: There is extensive empirical literature on default prediction methodologies. Many authors during the last fifty years have examined several possibilities to predict default or business failure. The reviews from the last years show that the closer the similarity of businesses, the greater accuracy of bankruptcy models. Purpose of the article: The aim of this article is finding if there exist different factors that could predict bankruptcy depending on the size of the company. Our motivation is to show if there exist differences when predicting bankruptcy according the size of the company. Methods: 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. We have used logistic regression and investigated around 2 800 companies, of which 642 failed during the period 2010 – 2017. Findings &amp; Value added: Our hypothesis that there exist different factors which could predict bankruptcy depending on the size of the company was confirmed. We have found that for the segment of micro-enterprises is necessary to pay attention to different financial indicators. Small enterprises emphasizes mostly to assets while the model developed for the segment of medium-sized enterprises measures most of all assets in various form and liabilities in various form.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50206 - Finance

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 20th International Scientific Conference Globalization and Its Socio-Economic Consequences University of Zilina

ISBN

—

ISSN

2261-2424

e-ISSN

2261-2424

Počet stran výsledku

26

Strana od-do

03-028

Název nakladatele

University of Zilina

Místo vydání

Žilina

Místo konání akce

Žilina

Datum konání akce

1. 1. 2020

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

—