Time Postponents of Classical Corporate Bankruptcy Models
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Time Postponents of Classical Corporate Bankruptcy Models
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50206 - Finance
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
9
Pages from-to
264-272
Publisher name
Libuše Macáková, MELANDRIUM
Place of publication
Slaný
Event location
Praha
Event date
Sep 14, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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