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Tytuł:
ŹRÓDŁA RYZYKA MODELI BANKRUCTWA PRZEDSIĘBIORSTW
Sources of risks for corporate bankruptcy models
Autorzy:
Szewc-Rogalska, Alina
Powiązania:
https://bibliotekanauki.pl/articles/950632.pdf
Data publikacji:
2015
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
early warning model
bankruptcy
risk
Opis:
This study aims at identifying sources of risks for corporate bankruptcy models. The applied research method includes the presentation of conditions for the bankruptcy phenomenon to occur in an unstable economy, the analysis of differentiation between the predictive capability of early warning models, and the recognition of risks related to these models. Three major types of risks of corporate bankruptcy models have been distinguished. Firstly, the risks of these models arise from the uncertainty of reliability of financial statements, inter alia, interfering with information, and difficulties in measurement of some financial categories. Secondly, the risk arises from the constraints related to the design of these models, inter alia, being the adopted assumptions, sampling and bankruptcy predictors. Thirdly, the risk of models pertains to the conditions of their practical applications, inter alia, there are cases of their limited comprehensibility, a high volatility of business environment, and the impact of non-conventional bankruptcy factors.
Źródło:
Financial Sciences. Nauki o Finansach; 2015, 3(24); 160-176
2080-5993
2449-9811
Pojawia się w:
Financial Sciences. Nauki o Finansach
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Management of financial risks in Slovak enterprises using regression analysis
Autorzy:
Valaskova, Katarina
Kliestik, Tomas
Kovacova, Maria
Powiązania:
https://bibliotekanauki.pl/articles/18799016.pdf
Data publikacji:
2018
Wydawca:
Instytut Badań Gospodarczych
Tematy:
financial risk
default
bankruptcy
regression model
Opis:
Research background: Financial risk management is the task of monitoring financial risks and managing their impact. Financial risk is often perceived as the risk that a company may default on its debt payments. The issue of the debt, default or prosperity of the company are presented in the article as one of the ways of the risk management. A prediction of corporate default is an inseparable element of the risk management. Mainly the consequences of risk are the engine of research and development of methods and models, which enable to predict economic and financial situation in specific conditions of global economies. Purpose of the article: The main aim of the presented article is to assess financial risks of Slovak entities, realized by the identification of significant factors and determinants affecting the prosperity of Slovak companies. Methods: To conduct the research we have used the data of Slovak enterprises, obtained from annual financial reports covering the year 2015 and the calculated financial ratios of profitability, activity, liquidity and indebtedness that may affect the financial health of the company were applied in the regression analysis. Realizing the multiple regression analysis, the statistically significant determinants that affect the future financial development of the company are identified, as well as the regression model of the bankruptcy prediction. Findings & Value added: In the research aimed at the management of financial risks in Slovak enterprises, we focused on the revelation of significant economic risk factors using multiple regression. The results suggest that the most significant predictors are net return on capital, cash ratio, quick ratio, current ratio, net working capital, RE/TA ratio, current debt ratio, financial debt ratio and current assets turnover based on which the decision about the future company default can be made. These factors are significant enough to manage financial risks and to affect the profitability and prosperity of the company.
Źródło:
Oeconomia Copernicana; 2018, 9, 1; 105-121
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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