THE IDENTIFICATION OF INDICATORS INFLUENCING THE CREDIT RISK OF AUTOMOTIVE COMPANIES IN THE CZECH REPUBLIC

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F21%3A63537418" target="_blank" >RIV/70883521:28120/21:63537418 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/21:63537418

Výsledek na webu

<a href="http://dx.doi.org/10.22598/odyssey/2021.3" target="_blank" >http://dx.doi.org/10.22598/odyssey/2021.3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.22598/odyssey/2021.3" target="_blank" >10.22598/odyssey/2021.3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

THE IDENTIFICATION OF INDICATORS INFLUENCING THE CREDIT RISK OF AUTOMOTIVE COMPANIES IN THE CZECH REPUBLIC

Popis výsledku v původním jazyce

The paper deals with the credit risk and identification of indicators, which influence the rating of automotive companies in the Czech Republic. Methods used in this study were correlation analysis, descriptive statistics and panel data regression. The aim of this paper was firstly to calculate the ratings of automotive companies in the Czech Republic utilizing the Aspect Global Rating model and then determine, which indicator has the highest influence on rating of tested companies. The Aspect Global Rating model consists of seven indicators: operating margin, return on equity, depreciation coverage indicator, prompt liquidity, self-financing indicator, return on operating assets, and assets turnover ratio. When using the Aspect Global Rating model, the research results indicate that the company&apos;s rating is statistically dependent on the value of the depreciation coverage indicator. The depreciation coverage indicator was proven to have the highest impact on the rating. After that, the data was subjected to panel data regression and three models were created. Proposed models solved the dependency between the depreciation coverage indicator and rating. First model tested hypothesis, that rating of the company is not dependent on the depreciation coverage indicator, whereas second model tested, whether rating is dependent on the depreciation coverage indicator and last model was focused on the dependency between rating and tested indicator when the time component was considered. The comparison of models has shown that there is a statistically significant difference between model 1 and model 2 and the rating is statistically dependent on the value of the depreciation coverage indicator. There is a similar situation between model 2 and model 3. There is a statistically significant difference and the rating is dependent on time. Automotive companies should focus on the depreciation coverage indicator, as it is ascertained from research that it has the most significant impact on values of rating.

Název v anglickém jazyce

THE IDENTIFICATION OF INDICATORS INFLUENCING THE CREDIT RISK OF AUTOMOTIVE COMPANIES IN THE CZECH REPUBLIC

Popis výsledku anglicky

The paper deals with the credit risk and identification of indicators, which influence the rating of automotive companies in the Czech Republic. Methods used in this study were correlation analysis, descriptive statistics and panel data regression. The aim of this paper was firstly to calculate the ratings of automotive companies in the Czech Republic utilizing the Aspect Global Rating model and then determine, which indicator has the highest influence on rating of tested companies. The Aspect Global Rating model consists of seven indicators: operating margin, return on equity, depreciation coverage indicator, prompt liquidity, self-financing indicator, return on operating assets, and assets turnover ratio. When using the Aspect Global Rating model, the research results indicate that the company&apos;s rating is statistically dependent on the value of the depreciation coverage indicator. The depreciation coverage indicator was proven to have the highest impact on the rating. After that, the data was subjected to panel data regression and three models were created. Proposed models solved the dependency between the depreciation coverage indicator and rating. First model tested hypothesis, that rating of the company is not dependent on the depreciation coverage indicator, whereas second model tested, whether rating is dependent on the depreciation coverage indicator and last model was focused on the dependency between rating and tested indicator when the time component was considered. The comparison of models has shown that there is a statistically significant difference between model 1 and model 2 and the rating is statistically dependent on the value of the depreciation coverage indicator. There is a similar situation between model 2 and model 3. There is a statistically significant difference and the rating is dependent on time. Automotive companies should focus on the depreciation coverage indicator, as it is ascertained from research that it has the most significant impact on values of rating.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50206 - Finance

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of FEB Zagreb 12th International Odyssey Conference on Economics and Business

ISBN

—

ISSN

2671-132X

e-ISSN

—

Počet stran výsledku

10

Strana od-do

612-621

Název nakladatele

University of Zagreb, Faculty of Economics and Business

Místo vydání

Zagreb

Místo konání akce

Šibenik

Datum konání akce

9. 6. 2021

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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