2019
DOI: 10.3846/jbem.2019.9606
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Sectoral Analysis of the Effectiveness of Bank Risk Capital in the Visegrad Group Countries

Abstract: Bank risk capital (capital at risk) is identified with the value of banks’ own funds maintaining to absorb potential losses and protect against insolvency. It is calculated for the capital adequacy ratios, recommended by the Basel Committee on Banking Supervision. On other words, it is a kind of banks’ capital that financing securing the negative effects of risk occurring. A comparative analysis of effectiveness of bank risk capital in the Visegrad Group countries, constituting the main objective of the study,… Show more

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Cited by 9 publications
(6 citation statements)
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“…Hudáková and Dvorský (2018) proposed assessing the risks in dependence on the rate of implementing the risk management process in the SMEs. Other researchers suggest using the neural network apparatus (Subeh & Yarovenko, 2017); sectoral analysis (Nocoń & Pyka, 2019); bifurcation theory (Vasilyeva et al, 2019).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Hudáková and Dvorský (2018) proposed assessing the risks in dependence on the rate of implementing the risk management process in the SMEs. Other researchers suggest using the neural network apparatus (Subeh & Yarovenko, 2017); sectoral analysis (Nocoń & Pyka, 2019); bifurcation theory (Vasilyeva et al, 2019).…”
Section: Literature Reviewmentioning
confidence: 99%
“…leisure versus respirator manufacturing industry, rapid digitisation of services, and reshaping of innovative work behaviour [37], particularly high school education. The accounting assumption is that the going concern will face a wave of bankruptcy and insolvency outbreaks [38], [39]. The macroeconomy will struggle with the efficiency of the monetary and fiscal measures in a lowinterest rate and high budget deficit environment.…”
Section: Literature Review and Hypothesis Developmentmentioning
confidence: 99%
“…Garcia (2016) investigates the relationship between financial security and affordability by the correlation model based on data from 2008 -2016 in more than 150 countries. Such scientists as (Grybaitė & Stankevičienė, 2018), (Khan et al, 2017), (Levchenko et al, 2019), (Mishchuk et al, 2019), (Nocoń & Pyka, 2019), (Sisodia, 2019), (Vasileva & Lasukova, 2013), , (Grenčíková et al, 2019) used regression-correlation analysis and other methods as the way to process large amounts of financial data in the works.…”
Section: Literature Reviewmentioning
confidence: 99%