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Models Predicting Financial Distress and their Accuracy in the Case of Construction Industry in the Czech Republic

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21630%2F15%3A00238960" target="_blank" >RIV/68407700:21630/15:00238960 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://www.ufu.utb.cz/konference/sbornik2015.pdf" target="_blank" >http://www.ufu.utb.cz/konference/sbornik2015.pdf</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Models Predicting Financial Distress and their Accuracy in the Case of Construction Industry in the Czech Republic

  • Popis výsledku v původním jazyce

    Corporate financial distress and risk of bankruptcy may not lead only to a market exit of an ailing company but it can seriously influence also business related entities or counterparties. This reason raises the need to have tools which can help predict future environment and ecision making process. Models predicting corporate financial distress as well as called bankruptcy models are an example of these tools and methods. Last global economic crisis has again renewed the scientific debate about appropriate accuracy of bankruptcy models. This paper is focused on an explanatory power of models predicting financial distress created in the past. Dozens of models are tested in the case of construction industry which has been highly affected by the last crisis. The paper should answer several questions. The question 1 is if the explanatory power of bankruptcy models created in the past is sufficient for decision making process. The question 2 is which models have the highest accuracy and which should be recommended for practical use. According to results connected with previous questions we can answer if there is a need of a new predicting tool. Statistically significant data sample is used for this research. Dozens of models predicting financial distress are verified by tools as Type I Error, Type II Error, ROC Curves and related AuROC coefficients.

  • Název v anglickém jazyce

    Models Predicting Financial Distress and their Accuracy in the Case of Construction Industry in the Czech Republic

  • Popis výsledku anglicky

    Corporate financial distress and risk of bankruptcy may not lead only to a market exit of an ailing company but it can seriously influence also business related entities or counterparties. This reason raises the need to have tools which can help predict future environment and ecision making process. Models predicting corporate financial distress as well as called bankruptcy models are an example of these tools and methods. Last global economic crisis has again renewed the scientific debate about appropriate accuracy of bankruptcy models. This paper is focused on an explanatory power of models predicting financial distress created in the past. Dozens of models are tested in the case of construction industry which has been highly affected by the last crisis. The paper should answer several questions. The question 1 is if the explanatory power of bankruptcy models created in the past is sufficient for decision making process. The question 2 is which models have the highest accuracy and which should be recommended for practical use. According to results connected with previous questions we can answer if there is a need of a new predicting tool. Statistically significant data sample is used for this research. Dozens of models predicting financial distress are verified by tools as Type I Error, Type II Error, ROC Curves and related AuROC coefficients.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    50206 - Finance

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2015

  • 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

    Proceedings of the 7th International Scientific Conference: Finance and performance of firms in science, education and practice

  • ISBN

    978-80-7454-482-8

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    13

  • Strana od-do

    178-190

  • Název nakladatele

    Univerzita Tomáše Bati ve Zlíně, Fakulta managementu a ekonomiky

  • Místo vydání

    Zlín

  • Místo konání akce

    Zlín

  • Datum konání akce

    23. 4. 2015

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000374107300013