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Wyszukujesz frazę "prediction of bankruptcy" wg kryterium: Temat


Wyświetlanie 1-2 z 2
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:
Factors affecting the conclusion of an arrangement in restructuring proceedings: evidence from Poland
Autorzy:
Prusak, Błażej
Zaremba, Ulyana
Galiński, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/28862021.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
financial distress
preventive restructuring
turnaround prediction model
bankruptcy prediction
law & economics
Digital Poland of Equal Opportunities
Opis:
The EU Restructuring Directive (2019/1023) requires Member States to provide a preventive restructuring framework for financially distressed entities that remain viable or are likely to readily restore economic viability. The first step to a successful restructuring is the approval of an arrangement between the debtor and creditors. The main research objective of the article is to identify factors affecting the conclusion of an arrangement in restructuring proceedings. In the process of filtering companies initiating a restructuring procedure, these factors are seen as increasing the probability of concluding an arrangement between debtor and creditors. Moreover, an additional research objective is to construct a turnaround prediction model aimed at assessing the probability of a conclusion of an arrangement in restructuring proceedings. The study covered the companies in Poland for which restructuring proceedings opened between 2016 and 2021 ended with the approval of an arrangement, and a similar number of companies that failed to restructure successfully. Binary logistic regression was applied to achieve the aims of this study. The results show that two financial variables affected companies in terms of their chances to conclude the arrangement: the current ratio and return on assets were among the statistically significant indicators and they are characterized by higher values for debtors reaching the arrangement with their creditors. A direct positive relationship was also identified between the company’s lifespan and the outcome of the proceedings. The probability of the conclusion of the arrangement was also affected by the type of industry. Models assessing the probability of completing restructuring proceedings with an arrangement can be useful for insolvency practitioners and financial analysts during viability assessments.
Źródło:
Ruch Prawniczy, Ekonomiczny i Socjologiczny; 2023, 85, 3; 235-257
0035-9629
2543-9170
Pojawia się w:
Ruch Prawniczy, Ekonomiczny i Socjologiczny
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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