Predicting insolvency risk of the Czech companies

D 2016

Predicting insolvency risk of the Czech companies

NĚMEC, Daniel a Michal PAVLÍK

Základní údaje

Originální název

Predicting insolvency risk of the Czech companies

Autoři

NĚMEC, Daniel a Michal PAVLÍK

Vydání

Bratislava, Proceedings of the International Scientific Conference Quantitative Methods in Economics (Multiple Criteria Decision Making XVIII), od s. 258-263, 6 s. 2016

Nakladatel

University of Economics

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10103 Statistics and probability

Stát vydavatele

Slovensko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14560/16:00090093

Organizační jednotka

Ekonomicko-správní fakulta

ISBN

978-80-972328-0-1

UT WoS

000394099300041

Klíčová slova anglicky

bankruptcy prediction; logistic regression; bankruptcy model; Czech Republic

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 16. 6. 2017 00:11, doc. Ing. Daniel Němec, Ph.D.

Anotace

V originále

The goal of this paper is to create and evaluate the models for predicting insolvency risk of the Czech companies. This contribution aims to reveal the most important factors which affect the bankruptcy in the Czech Republic including the characteristics of the local business environment. Using the public data from the accounting statements (from 2005 to 2013) we have built model with one-year forecast horizon. The model is treated as the standard logit models and estimated using the maximum likelihood approach. Comparing the results with the traditional bankruptcy models proves that our model has overall better predictive power and can be thus used for reliable evaluations of the future financial stability of the Czech companies.

Návaznosti

MUNI/A/1040/2015, interní kód MU

Název: Dynamické makroekonomické modely malých otevřených ekonomik – aktuální problémy a výzvy (Akronym: Dynamické makroekonomické modely)

Investor: Masarykova univerzita, Dynamické makroekonomické modely malých otevřených ekonomik – aktuální problémy a výzvy, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Přiložené soubory

QME2016.doc

Citovat

NĚMEC, Daniel a Michal PAVLÍK. Predicting insolvency risk of the Czech companies. In Marian Reiff, Pavel Gežík. Proceedings of the International Scientific Conference Quantitative Methods in Economics (Multiple Criteria Decision Making XVIII). Bratislava: University of Economics, 2016, s. 258-263. ISBN 978-80-972328-0-1.

@inproceedings{1346624,
   author = {Němec, Daniel and Pavlík, Michal},
   address = {Bratislava},
   booktitle = {Proceedings of the International Scientific Conference Quantitative Methods in Economics (Multiple Criteria Decision Making XVIII)},
   editor = {Marian Reiff, Pavel Gežík},
   keywords = {bankruptcy prediction; logistic regression; bankruptcy model; Czech Republic},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Bratislava},
   isbn = {978-80-972328-0-1},
   pages = {258-263},
   publisher = {University of Economics},
   title = {Predicting insolvency risk of the Czech companies},
   year = {2016}
}

TY  - CONF
ID  - 1346624
AU  - Němec, Daniel - Pavlík, Michal
PY  - 2016
TI  - Predicting insolvency risk of the Czech companies
PB  - University of Economics
CY  - Bratislava
SN  - 9788097232801
KW  - bankruptcy prediction
KW  - logistic regression
KW  - bankruptcy model
KW  - Czech Republic
N2  - The goal of this paper is to create and evaluate the models for predicting insolvency risk of the Czech companies. This contribution aims to reveal the most important factors which affect the bankruptcy in the Czech Republic including the characteristics of the local business environment. Using the public data from the accounting statements (from 2005 to 2013) we have built model with one-year forecast horizon. The model is treated as the standard logit models and estimated using the maximum likelihood approach. Comparing the results with the traditional bankruptcy models proves that our model has overall better predictive power and can be thus used for reliable evaluations of the future financial stability of the Czech companies.
ER  -

NĚMEC, Daniel a Michal PAVLÍK. Predicting insolvency risk of the Czech companies. In Marian Reiff, Pavel Gežík. \textit{Proceedings of the International Scientific Conference Quantitative Methods in Economics (Multiple Criteria Decision Making XVIII)}. Bratislava: University of Economics, 2016, s.~258-263. ISBN~978-80-972328-0-1.

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