CREDIT RISK ASSESSMENT FOR SMES: THE CZECH CASE

D 2017

CREDIT RISK ASSESSMENT FOR SMES: THE CZECH CASE

SPONEROVÁ, Martina; Tomáš PLÍHAL a Miroslav SPONER

Základní údaje

Originální název

CREDIT RISK ASSESSMENT FOR SMES: THE CZECH CASE

Autoři

SPONEROVÁ, Martina ; Tomáš PLÍHAL a Miroslav SPONER

Vydání

Sofia, Bulgaria, Proceedings of the 4th International Multidisciplinary Scientific Conference Social Sciences & Arts SGEM 2017, od s. 173 - 180, 8 s. 2017

Nakladatel

SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50200 5.2 Economics and Business

Stát vydavatele

Bulharsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14560/17:00097911

Organizační jednotka

Ekonomicko-správní fakulta

ISBN

978-619-7408-15-7

ISSN

DOI

https://doi.org/10.5593/sgemsocial2017/13

Klíčová slova anglicky

Credit risk; bankruptcy prediction; SME; bankruptcy model; probability of default

Změněno: 17. 5. 2018 14:58, Mgr. Kateřina Oleksíková, Ph.D.

Anotace

V originále

Small and medium sized companies are reasonably considered as the backbone of the economy many countries. Thanks to their simple structure, they can respond quickly to changing economic conditions and meet local customers´ needs, growing sometimes into large and powerful corporations or failing within a short time of the firm´s inception. Therefore, they are significantly different from large companies from the credit risk point of view. We would like to show the importance to assess the SMEs credit risk separately from large companies, additionally we separate micro sized, small sized and medium sized enterprises. To invent the most precise bankruptcy model is permanent subject of many scientific researches and there have also been developed many bankruptcy models for corporate entities, but they do not respect size of entities, therefore their predictability could be misleading. The aim of this article is the comparison of the popular bankruptcy models, namely the Ohlson O-score, the Zmijewski’s model, the Taffler’s model, the IN05 model with the Altman model developed in 2007 especially for SMEs. We compare predicting abilities of these models in their basic form using the classification table and ROC curve.

Návaznosti

MUNI/A/1039/2016, interní kód MU

Název: Modelování volatility na finančních trzích a její aplikace v oblasti řízení rizik a oceňování aktiv (Akronym: VOLATILITA)

Investor: Masarykova univerzita, Modelování volatility na finančních trzích a její aplikace v oblasti řízení rizik a oceňování aktiv, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

SPONEROVÁ, Martina; Tomáš PLÍHAL a Miroslav SPONER. CREDIT RISK ASSESSMENT FOR SMES: THE CZECH CASE. In SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts, Secretariat Bureau. Proceedings of the 4th International Multidisciplinary Scientific Conference Social Sciences & Arts SGEM 2017. Sofia, Bulgaria: SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts, 2017, s. 173 - 180. ISBN 978-619-7408-15-7. Dostupné z: https://doi.org/10.5593/sgemsocial2017/13.

@inproceedings{1392380,
   author = {Sponerová, Martina and Plíhal, Tomáš and Sponer, Miroslav},
   address = {Sofia, Bulgaria},
   booktitle = {Proceedings of the 4th International Multidisciplinary Scientific Conference Social Sciences & Arts SGEM 2017},
   doi = {https://doi.org/10.5593/sgemsocial2017/13},
   editor = {SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts, Secretariat Bureau},
   keywords = {Credit risk; bankruptcy prediction; SME; bankruptcy model; probability of default},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Sofia, Bulgaria},
   isbn = {978-619-7408-15-7},
   pages = {173 - 180},
   publisher = {SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts},
   title = {CREDIT RISK ASSESSMENT FOR SMES: THE CZECH CASE},
   url = {http://www.sgemscocial.org},
   year = {2017}
}

TY  - CONF
ID  - 1392380
AU  - Sponerová, Martina - Plíhal, Tomáš - Sponer, Miroslav
PY  - 2017
TI  - CREDIT RISK ASSESSMENT FOR SMES: THE CZECH CASE
PB  - SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts
CY  - Sofia, Bulgaria
SN  - 9786197408157
KW  - Credit risk
KW  - bankruptcy prediction
KW  - SME
KW  - bankruptcy model
KW  - probability of default
UR  - http://www.sgemscocial.org
N2  - Small and medium sized companies are reasonably considered as the backbone of the economy many countries. Thanks to their simple structure, they can respond quickly to changing economic conditions and meet local customers´ needs, growing sometimes into large and powerful corporations or failing within a short time of the firm´s inception. Therefore, they are significantly different from large companies from the credit risk point of view. We would like to show the importance to assess the SMEs credit risk separately from large companies, additionally we separate micro sized, small sized and medium sized enterprises. To invent the most precise bankruptcy model is permanent subject of many scientific researches and there have also been developed many bankruptcy models for corporate entities, but they do not respect size of entities, therefore their predictability could be misleading. The aim of this article is the comparison of the popular bankruptcy models, namely the Ohlson O-score, the Zmijewski’s model, the Taffler’s model, the IN05 model with the Altman model developed in 2007 especially for SMEs. We compare predicting abilities of these models in their basic form using the classification table and ROC curve.
ER  -

SPONEROVÁ, Martina; Tomáš PLÍHAL a Miroslav SPONER. CREDIT RISK ASSESSMENT FOR SMES: THE CZECH CASE. In SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts, Secretariat Bureau. \textit{Proceedings of the 4th International Multidisciplinary Scientific Conference Social Sciences \&{} Arts SGEM 2017}. Sofia, Bulgaria: SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts, 2017, s.~173 - 180. ISBN~978-619-7408-15-7. Dostupné z: https://doi.org/10.5593/sgemsocial2017/13.

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