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Predicting bankruptcy in construction business: Traditional model validation and formulation of a new model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F19%3APU131782" target="_blank" >RIV/00216305:26510/19:PU131782 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.jois.eu/?505,en_predicting-bankruptcy-in-construction-business-traditional-model-validation-and-formulation-of-a-new-model" target="_blank" >https://www.jois.eu/?505,en_predicting-bankruptcy-in-construction-business-traditional-model-validation-and-formulation-of-a-new-model</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14254/2071-8330.2019/12-1/19" target="_blank" >10.14254/2071-8330.2019/12-1/19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predicting bankruptcy in construction business: Traditional model validation and formulation of a new model

  • Original language description

    When predicting bankruptcy of a company basing on its financial statements, the line of business in which the company is operating plays a significant role in terms of prediction accuracy. This accuracy is particularly crucial to banks and businesses which realise sales mostly on credit. The failure to recognise a client’s or business partner’s financial difficulties or the threat of bankruptcy with sufficient accuracy could lead to significant losses. Bankruptcy prediction models are used for these purposes. Most of the models created have been dedicated to the branch of manufacturing, while the branch of construction is relatively neglected by the mainstream literature. Traditional bankruptcy prediction models cannot be used effectively due to specifics of construction business. The aim of this paper is to test the current accuracies of five selected bankruptcy models in predicting the bankruptcy of construction companies. An additional aim is to create a new model designed specifically for this branch. The research was conducted on the sample of Czech companies. The method of Receiver Operating Characteristic was applied as the measure of accuracy for testing the models. The model created during the course of this research achieved an accuracy higher by 3.6 to 8 percent than the traditional models tested.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    JOURNAL OF INTERNATIONAL STUDIES

  • ISSN

    2071-8330

  • e-ISSN

    2306-3483

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    PL - POLAND

  • Number of pages

    14

  • Pages from-to

    283-296

  • UT code for WoS article

  • EID of the result in the Scopus database

    999