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    Wyświetlanie 1-5 z 5
    Tytuł:
    BANKRUPTCY IN SLOVAKIA: INTERNATIONAL COMPARISON OF THE CREDITOR´S POSITION
    Autorzy:
    Kliestik, Tomas
    Misankova, Maria
    Kliestikova, Jana
    Powiązania:
    https://bibliotekanauki.pl/articles/489093.pdf
    Data publikacji:
    2017
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    bankruptcy
    bankruptcy law
    insolvency
    insolvency law
    creditor
    Opis:
    Research background: Bankruptcy shouldn´t be considered only as negative phenomena although its impact is for companies in most cases more than devastating. This change of point of view is invoked by the needs of contemporary socio-economic evolution. If society wants to reach sustainable development, the bankruptcy should be perceived as an immanent part of normal cyclical economic development. Moreover, if the view of bankruptcy is changed in a positive way, it can be a stimulus for innovations, investment and global welfare. But it is not possible without an increase in the effectiveness of national and international bankruptcy law. Purpose of the article: The goal of this study is to analyse the position of a creditor in the case of a debtor´s bankruptcy on the basis of comparative law in the Slovak Republic de lege ferenda. It is because we assume that continuous attention should be given to the issue of the creditor’s position with regard to a debtor´s bankruptcy to achieve sustainable economic development. Methods: The potential consideration de lege ferenda should be based not only on performed legal analysis, but also on performed economic analysis. So, selected countries have been evaluated according to specific economic and legal indicators. We used the interdisciplinary approach based on selection analysis and legal comparative analysis applied to international comparison of the status of creditor and the effectiveness of bankruptcy law from his point of view. Findings & Value added: The applied approach has led us to the detection of the most important insolvency laws, specifically the insolvency laws of the United States and Austria. These legislations were further applied in the context of consideration de lege ferenda over the position of a creditor in the case of a debtor´s bankruptcy in the Slovak Republic.
    Źródło:
    Oeconomia Copernicana; 2017, 8, 2; 221-237
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries
    Autorzy:
    Kovacova, Maria
    Kliestik, Tomas
    Valaskova, Katarina
    Durana, Pavol
    Juhaszova, Zuzana
    Powiązania:
    https://bibliotekanauki.pl/articles/19106225.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    bankruptcy
    bankruptcy prediction
    variables
    countries of Visegrad four
    Opis:
    Research background: Since the first bankruptcy prediction models were developed in the 60's of the 20th century, numerous different models have been constructed all over the world. These individual models of bankruptcy prediction have been developed in different time and space using different methods and variables. Therefore, there is a need to analyse them in the context of various countries, while the question about their suitability arises. Purpose of the article: The analysis of more than 100 bankruptcy prediction models developed in V4 countries confirms that enterprises in each country prefer different explanatory variables. Thus, we aim to review systematically the bankruptcy prediction models developed in the countries of Visegrad four and analyse them, with the emphasis on explanatory variables used in these models, and evaluate them using appropriate statistical methods. Methods: Cluster analysis and correspondence analysis were used to explore the mutual relationships among the selected categories, e.g. clusters of explanatory variables and countries of the Visegrad group. The use of the cluster analysis focuses on the identification of homogenous subgroups of the explanatory variables to sort the variables into clusters, so that the variables within a common cluster are as much similar as possible. The correspondence analysis is used to examine if there is any statistically significant dependence between the monitored factors ? bankruptcy prediction models of Visegrad countries and explanatory variables. Findings & Value added: Based on the statistical analysis applied, we confirmed that each country prefers different explanatory variables for developing the bankruptcy prediction model. The choice of an appropriate and specific variable in a specific country may be very helpful for enterprises, researchers and investors in the process of construction and development of bankruptcy prediction models in conditions of an individual country.
    Źródło:
    Oeconomia Copernicana; 2019, 10, 4; 743-772
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Logit and Probit application for the prediction of bankruptcy in Slovak companies
    Autorzy:
    Kovacova, Maria
    Kliestik, Tomas
    Powiązania:
    https://bibliotekanauki.pl/articles/22446595.pdf
    Data publikacji:
    2017
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    bankruptcy
    logit
    probit
    Slovak companies
    financial health
    Opis:
    Research background: Prediction of bankruptcy is an issue of interest of various researchers and practitioners since the first study dedicated to this topic was published in 1932. Finding the suitable bankruptcy prediction model is the task for economists and analysts from all over the world. forecasting model using. Despite a large number of various models, which have been created by using different methods with the aim to achieve the best results, it is still challenging to predict bankruptcy risk, as corporations have become more global and more complex. Purpose of the article: The aim of the presented study is to construct, via an empirical study of relevant literature and application of suitable chosen mathematical statistical methods, models for bankruptcy prediction of Slovak companies and provide the comparison of overall prediction ability of the two developed models. Methods: The research was conducted on the data set of Slovak corporations covering the period of the year 2015, and two mathematical statistical methods were applied. The methods are logit and probit, which are both symmetric binary choice models, also known as conditional probability models. On the other hand, these methods show some significant differences in process of model formation, as well as in achieved results. Findings & Value added: Given the fact that mostly discriminant analysis and logistic regression are used for the construction of bankruptcy prediction models, we have focused our attention on the development bankruptcy prediction model in the Slovak Republic via logistic regression and probit. The results of the study suggest that the model based on a logit functions slightly outperforms the classification accuracy of probit model. Differences were obtained also in the detection of the most significant predictors of bankruptcy prediction in these types of models constructed in Slovak companies.
    Źródło:
    Equilibrium. Quarterly Journal of Economics and Economic Policy; 2017, 12, 4; 775-791
    1689-765X
    2353-3293
    Pojawia się w:
    Equilibrium. Quarterly Journal of Economics and Economic Policy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis
    Autorzy:
    Kliestik, Tomas
    Vrbka, Jaromir
    Rowland, Zuzana
    Powiązania:
    https://bibliotekanauki.pl/articles/22446534.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    bankruptcy
    prediction model
    discriminant analysis
    Visegrad group
    financial analysis
    Opis:
    Research background: The problem of bankruptcy prediction models has been a current issue for decades, especially in the era of strong competition in markets and a constantly growing number of crises. If a company wants to prosper and compete successfully in a market environment, it should carry out a regular financial analysis of its activities, evaluate successes and failures, and use the results to make strategic decisions about the future development of the business. Purpose of the article: The main aim of the paper is to develop a model to reveal the un-healthy development of the enterprises in V4 countries, which is done by the multiple discriminant analysis. Methods: To conduct the research, we use the Amadeus database providing necessary financial and statistical data of almost 450,000 enterprises, covering the year 2015 and 2016, operating in the countries of the Visegrad group. Realizing the multiple discriminant analysis, the most significant predictor and the best discriminants of the corporate prosperity are identified, as well as the prediction models for both individual V4 countries and complex Visegrad model. Findings & Value added: The results of the research reveal that the prediction models use the combination of same financial ratios to predict the future financial development of a company. However, the most significant predictors are current assets to current liabilities ratio, net income to total assets ratio, ratio of non-current liabilities and current liabilities to total assets, cash and cash equivalents to total assets ratio and return of equity. All developed models have more than 80 % classification ability, which indicates that models are formed in accordance with the economic and financial situation of the V4 countries. The research results are important for companies themselves, but also for their business partners, suppliers and creditors to eliminate financial and other corporate risks related to the un-healthy or unfavorable financial situation of the company.
    Źródło:
    Equilibrium. Quarterly Journal of Economics and Economic Policy; 2018, 13, 3; 569-593
    1689-765X
    2353-3293
    Pojawia się w:
    Equilibrium. Quarterly Journal of Economics and Economic Policy
    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 1-5 z 5

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