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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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