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PL
W wielu krajach, w tym w Polsce, banki spółdzielcze przetrwały globalny kryzys finansowy stosunkowo dobrze. Jednak wiele analiz empirycznych przeprowadzonych w okresie pokryzysowym wskazało, że mogła to być przewaga raczej krótkookresowa, związana z bezpiecznym modelem biznesowym, niż długookresowa tendencja stabilizującego wpływu banków spółdzielczych na sektor bankowy. Problem ten jest szczególnie istotny dla rynku kredytowego, gdyż banki spółdzielcze są ważnym wehikułem w finansowaniu lokalnych przedsiębiorstw. W artykule podjęto więc próbę odpowiedzi na to pytanie, analizując czynniki wpływające na stabilność banków spółdzielczych w okresie 2010–2013, mierzoną poprzez indeks Z-score, poziom kapitału i kredyty nieregularne. Wyniki badania panelowego i analizy danych statystycznych potwierdziły także na rynku polskim, że sektor spółdzielczy odgrywał stabilizującą rolę w czasie kryzysu, natomiast niekoniecznie w okresie pokryzysowym.
EN
In many countries, including Poland, cooperative banks have survived the global financial crisis relatively well. However, many empirical studies conducted in the post-crisis period have indicated that it could be a short-term advantage, associated with a traditional business model, rather than the long-term trend of cooperative banks’ stabilizing impact on the banking sector. This problem is particularly important for the credit market, as cooperative banks are an important vehicle in financing local businesses. The article therefore aims at answering this question by analyzing factors affecting stability of cooperative banks in the period 2010–2013, as measured by the Z-score index, the level of capitalization and non-performing loans. The results of the panel model and statistical data analysis confirmed also on the Polish market that the cooperative sector plays a stabilizing role in the crisis, but not necessarily in the post-crisis period.
EN
Research background: Commercial banks could affect the stability of the whole banking system due to the way they carry out their business activities. The supervision authorities play a key role in protecting banking stability by ensuring banks´ resilience to shocks, ability to recover their position in response to crisis and ultimately the supervision authorities help prevent failure of these banks. Therefore, in recent years' researchers have been trying to define conditions that could guarantee stability of banks. Purpose of the article: This paper aims to describe the methodology used to measure banking stability, namely banking stability index (BSI) and Z-score. In the first part, we present the literature review, then we try to assess the stability in the condition of the Czech Republic and Slovakia during the period 2006-2016. Methods: The BSI is constructed according to the methodology presented by Ghosh (2011), taking into account the main components, which are described by the set of financial indicators of banks. Findings & Value added: Results showed that the average BSI in the whole sample moved from 0.20454 (in 2015) to 0.2486 (in 2007). The results according to countries have showed that the tendency of development in the Czech and Slovak banking sector was the same. At the beginning of the analyzed period, the Slovak banks were more stable compared to Czech ones. Since 2009 the situation has been different, where the Czech banks could be considered as more stable compared to Slovak ones. The tendency of development of Z-score in both countries could be considered as the same, without the 2009 year, when the Czech banks significantly strengthened their capitalization, which influenced the development of Z-score. The results of correlation analysis between Z-score and BSI pointed to the fact that there was no high correlation between these two measures, therefore it is appropriate to use both methodologies for stability evaluation.
EN
There are numerous models which are under contemporary business conditions used for assessment of creditworthiness and forecasting bankruptcy possibility of a enterprise. One of these models is Altman Z – score model. On the basis of adjustments of original model for possibility of bankruptcy forecasting, which is applicable just to enterprises with whose stocks are traded on organized market, a modified model was developed which is applicable only to enterprises with whose stocks are not traded on organized market. Altman made additional modification of model and formulated Z’’ score model that is applied on production and unproductive enterprises, as well as on enterprises that operate in developing countries. Stated models separate financially successful enterprises from those that are threatened by bankruptcy proceedings. On the basis of Z’’ score model Altman classified credit rating of enterprises and with it developed Z’’ score adjusted model. In this paper, we conducted the analyses of credit rating for 33 enterprises in restructuring and 90 enterprises that are not in restructuring, by using Z’’ score adjusted model, as well as determined possibility of occurrence of bankruptcy of enterprise on the basis of Z’ score model. Authors concluded that approximately 57% of analyzed enterprises in restructuring have the lowest credit rating, while possibility of occurrence of bankruptcy in the next two years for those enterprises is more than 90%. On the other hand, approximately 60% of enterprises which are not in restructuring have high credit rating and operate in safe zone, while approximately 6% of enterprises have the lowest credit rating with high possibility of occurrence of bankruptcy in the next two years.
PL
Celem badania jest weryfikacja poziomu wskaźnika Z-score kalkulowanego dla banków komercyjnych z 31 krajów europejskich w okresie 1996-2011 oraz jego wrażliwości na czynniki strukturalne i makroekonomiczne kraju. W artykule podjęto próbę odpowiedzi na pytanie, czy wielkość banku determinuje podejmowane przez niego ryzyko. W badaniu postawiono hipotezę o wrażliwości stabilności banków na działalność kredytową oraz wpływie kryzysu na tę zależność. W celu jej weryfikacji wykonano szacunki metodą uogólnionych momentów za pomocą estymatora Arellano i Bonda. Wyniki wskazują na zróżnicowane źródła ryzyka niestabilności w europejskim sektorze bankowym, co może mieć istotne znaczenie zarówno dla regulatorów, jak i zarządzających ryzykiem.
EN
The aim of the study is to verify the level of Z-score, calculated on individual bank’s data from European countries in the period 1996-2011, and its sensitivity to macroeconomic and structural factors of the country. In the study panel regression model was performed. We attempt to find out whether size of bank effects on risk taking. In the study there is hypothesis about the sensitivity of the stability of banks in the lending business, and the impact of the crisis on this relationship. In order to verify the hypotheses have been made estimates of the generalized method of moments GMM (Generalised Method of Moments) by Arellano and Bond estimator. Our results show the heterogeneity of banking risk factors across the European banking sector. The findings have implications for both bank risk management and regulators.
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