Credit Risk Management:  Financial Safety and Sustainability Aspects

Belás, Jaroslav; Mišanková, Mária; Schönfeld, Jaroslav; Gavurová, Beata

doi:10.9770/jssi.2017.7.1(7)

Cited by 26 publications

(20 citation statements)

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“…The analyzed scientific research proves contrary opinions regarding neural network models' applicability when identifying companies' bankruptcies. Some scientists (Salehi and Pour 2016;Zieba et al 2016;Belas et al 2017;Karas and Reznakova 2017) claim that company insolvency information retrieved by artificial neural networks is superior to the information obtained when applying traditional statistical models. Meanwhile other authors (Abdipoor et al 2013;Bredart 2014) saw a contrary phenomenon and suggest that the application of neural networks model alone reduces the accuracy of predictions.…”

Section: Traditional Statisticalmentioning

confidence: 99%

A Comparison on Leading Methodologies for Bankruptcy Prediction: The Case of the Construction Sector in Lithuania

et al. 2019

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Different economic environments differ in their characteristics; this prevents the usage of the same bankruptcy prediction models under different conditions. Objectively, the abundance of bankruptcy prediction models gives rise to the idea that these models are not in compliance with the changing business conditions in the market and do not meet the increasing complexity of business tasks. The purpose of this study is to assess the suitability of existing bankruptcy prediction models and the possibilities to increase the effectiveness of their application. In order to analyze theoretical aspects of the application of bankruptcy forecasting models and frame the research methodology, a systemic comparative and logical analysis of the scientific literature and statistical data, graphic data representation, induction, deduction and abstraction are employed. Results of the analysis confirm research hypotheses that bankruptcy prediction models based on macroeconomic variables are effective in identifying the number of corporate bankruptcies in a country and that the application of the model created on the grounds of macroeconomic indicators together with the traditional bankruptcy prediction model can improve the reliability of bankruptcy prediction. However, it was identified that models which are not specially adapted to companies in the construction sector are also suitable for forecasting their bankruptcies.

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Section: Traditional Statisticalmentioning

confidence: 99%

A Comparison on Leading Methodologies for Bankruptcy Prediction: The Case of the Construction Sector in Lithuania

et al. 2019

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“…In studies dealing with this issue (e.g. Gavurova et al, 2017;Shi, 2015;Belás et al, 2017;Dobeš et al, 2017), the authors come to a single conclusion that the basic processes in the area of public administration are basically the same when compared to other segments of the national economy.…”

Section: Discussion -Limitation Of the Research Resultsmentioning

confidence: 99%

Liquidity Values in Municipal Accounting in the Czech Republic

Otrusinová¹,

Kulleova²

2019

JOC

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The aim of this paper is to present the results of a study which analyzes the use of liquidity management among municipalities within the Czech Republic. A research carried out by the Faculty of Management and Economics of TBU in Zlín found that the use of liquidity management in Czech cities is still relatively low. Two basic data collection methods were applied: the use of accounting information from the public database (260 municipalities) and a questionnaire survey implemented in the form of controlled interviews (167 respondents). Applying the accounting data database, we sought to determine whether the recommended values of individual liquidity ratios are also valid in the public sector, specifically among municipalities. Based on the data analysis, we ascertained that most liquidity values of municipalities indicate higher values than those stated as recommended for the private sector, but based on this statistical evaluation, it is not possible as of yet to positively confirm this hypothesis at the significance level 0.05. The results of the study showed that municipalities use liquidity management within a limited scope. Non-profit organizations are recommended to control their liquidity according to general rules, whereas for municipalities it is most advantageous to use the quick ratio and cash position ratio. Each municipality can therefore determine the mutual relationship between components of short-term assets and short-term liabilities according to their own conditions and limitations, e.g. when handling flow transfers, money in funds, or tax income and expenses.

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“…The main factors of commercial banks' performance are the scales and conditions of financial intermediation (Adewole et al, 2019;Hadi et al, 2018) as well as increase in payment cards and devices for client services Djajanto at al., 2019). The growth of bank services volume is strongly related with credit and other financial risks management on both micro and macro levels (Belás et al, 2017). On the other hand, macroeconomic environments as well as banking regulation terms define the level of banks' profitability at different stages of economic cycle (Naser, 2019).…”

Section: Introductionmentioning

confidence: 99%

Banking regulation in ensuring bank's efficiency: Looking through different forms of ownership

Dudchenko¹,

Goncharenko²,

Didenko³

et al. 2020

Journal of International Studies

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The study is aimed to investigate the impact of banking regulation intensity on the efficiency of banks with different forms of capital ownership. To test the hypothesis about the different level of influence of banking regulation instruments on state, private and foreign banks, the GLS-modeling tool was used. The study sample includes data on the banks from six countries (Ukraine, Poland, Kazakhstan, Georgia, Estonia and Belarus) within the research period of 2001-2014. Empirical calculations indicate that there is no need to introduce differentiated regulatory regimes depending on the form of ownership and the origin of bank's capital, since there are no significant differences in the impact of different components of the regulatory mechanism on the banks of different ownership forms and different origins of capital. Particularly noteworthy is the formulation of a strategy for regulating stateowned banks, with slight differences in the effectiveness in the use of indicative and administrative instruments, while at the same time the importance of

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Credit Risk Management: Financial Safety and Sustainability Aspects

Cited by 26 publications

References 0 publications

A Comparison on Leading Methodologies for Bankruptcy Prediction: The Case of the Construction Sector in Lithuania

A Comparison on Leading Methodologies for Bankruptcy Prediction: The Case of the Construction Sector in Lithuania

Liquidity Values in Municipal Accounting in the Czech Republic

Banking regulation in ensuring bank's efficiency: Looking through different forms of ownership

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