Time Postponents of Classical Corporate Bankruptcy Models
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21630%2F17%3A00315898" target="_blank" >RIV/68407700:21630/17:00315898 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Time Postponents of Classical Corporate Bankruptcy Models
Popis výsledku v původním jazyce
This paper focuses on an issue of prediction corporate bankruptcy or default. There exist several approaches how to predict or forecast this unfavourable enterprise situation. One approach can be presented by bankruptcy models (also known as models predicting financial distress) which were created on the basis of financial accounting data by a technique as discriminant analysis. The basic aim of this contribution is not to solve a general models' accuracy. This paper focuses on time postponements or delays of the prediction. On one hand the accurate models are able to predict the future enterprise situation from the point of view of financial distress on the other hand their strengths is connected with the issue how in time they are able. This contribution will provide verification for three different time moments – two years, three and four years prior to bankruptcy. The data set consists of enterprises belonging to CZ-NACE F Construction which went bankrupt according to the Czech insolvency law. The results will show strengths of classical corporate bankruptcy models often used in the Czech Republic as Altman Z-Score, family of IN indices and several others.
Název v anglickém jazyce
Time Postponents of Classical Corporate Bankruptcy Models
Popis výsledku anglicky
This paper focuses on an issue of prediction corporate bankruptcy or default. There exist several approaches how to predict or forecast this unfavourable enterprise situation. One approach can be presented by bankruptcy models (also known as models predicting financial distress) which were created on the basis of financial accounting data by a technique as discriminant analysis. The basic aim of this contribution is not to solve a general models' accuracy. This paper focuses on time postponements or delays of the prediction. On one hand the accurate models are able to predict the future enterprise situation from the point of view of financial distress on the other hand their strengths is connected with the issue how in time they are able. This contribution will provide verification for three different time moments – two years, three and four years prior to bankruptcy. The data set consists of enterprises belonging to CZ-NACE F Construction which went bankrupt according to the Czech insolvency law. The results will show strengths of classical corporate bankruptcy models often used in the Czech Republic as Altman Z-Score, family of IN indices and several others.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50206 - Finance
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
The 11th International Days of Statistics and Economics, Conference Proceedings
ISBN
978-80-87990-12-4
ISSN
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e-ISSN
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Počet stran výsledku
9
Strana od-do
264-272
Název nakladatele
Libuše Macáková, MELANDRIUM
Místo vydání
Slaný
Místo konání akce
Praha
Datum konání akce
14. 9. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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