Analysis of the Effects of Macroprudential Measures on GDP’s Trend – Simulation Using a Macro Financial Model for Albania

Golemi, Ela

doi:10.1007/978-3-030-32015-7_69

Cited by 1 publication

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“…In addition, they note that in the context of sustainable financial development, the monetary policy of the European Central Bank has positively affected and stimulated the labor market and development in goods and services markets. Golemi (2020), studying the state of stability of the financial system in Albania, focuses on the role of macroprudential policy pursued by the Bank of Albania considering the leading role played by the banking system in this country and coming to the conclusion that the implementation of macroprudential policy measures can help contribute to a stable financial intermediation by raising the resilience of the financial system against risks. Khalatur et al (2020) conducted a study to determine the state of financial stability on the example of banks under VUCA-world conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling of the financial system?s stability on the example of Ukraine

Shkolnyk

Kozmenko

et al. 2021

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Research background: Financial stability is one of the key tasks in the functioning of the country?s financial system. National financial systems have significant differences in the level of their development, structure and approaches to regulation. There are no uniform world standards for methods and indicators of assessing financial stability. International financial institutions, including the International Monetary Fund, only outline certain areas and offer an indicative list of indicators that should be taken into account. Purpose of the article: Taking into account the peculiarities of the subject and object structure of Ukraine?s financial system, this study formed groups of indicators that reflect the state of financial depth, level of access and efficiency of the financial system, systematized by subject (financial institutions) and object financial markets) characteristics. Methods: The basis for the formation of a set of indicators is a matrix of characteristics of the financial system?s stability, which is formed according to the principle of 4x2 proposed by experts of the International Monetary Fund. The list of indicators to calculate the integrated indicator that characterizes the stability of the financial system of Ukraine, covers the period 2007?2019 and includes 29 indicators that take into account the peculiarities of its formation and development. Harrington?s desirability function is used to determine the integrated indicator that characterizes the state of financial stability. Findings & value added: The intermediate calculations obtained by modeling groups of indicators showed that the level of access to the financial system and the state of its depth are balanced during the study period (the range of variation of integrated indicators for these groups is minimal ? from 0.1 to 0.18), is at a satisfactory level and the basis for ensuring the financial system?s stability. Conversely, the efficiency of the financial system is low, and characterized by a high degree of volatility (range of variation ? 0.51). The obtained integrated indicator, which is in the range from 0.41 to 0.54 on the Harrington desirability scale, makes it possible to assess the state of the financial system?s stability in Ukraine as satisfactory, but with a high level of sensitivity to both external and internal shocks.

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Section: Literature Reviewmentioning

confidence: 99%

Modeling of the financial system?s stability on the example of Ukraine

Shkolnyk

Kozmenko

et al. 2021

View full text Add to dashboard Cite

show abstract

Analysis of the Effects of Macroprudential Measures on GDP’s Trend – Simulation Using a Macro Financial Model for Albania

Cited by 1 publication

References 9 publications

Modeling of the financial system?s stability on the example of Ukraine

Modeling of the financial system?s stability on the example of Ukraine

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