2018
DOI: 10.21272/fmir.2(2).123-132.2018
|View full text |Cite
|
Sign up to set email alerts
|

Model of Stress-testing of Banks’ Liquidity Risk in Ukraine

Abstract: The global financial crisis has shown how important is the role of liquidity risk in ensuring the stability of the banking system, and revealed a number of deficiencies in its regulation, both at the level of individual banks and at the level of banking regulation and supervision. It is necessary to develop new instruments and improve of existing instruments for protection the banking system from the negative effects of liquidity risk. These tools necessarily include stress testing of liquidity risk. In order … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 9 publications
0
3
0
Order By: Relevance
“…311 http://mmi.fem.sumdu.edu.ua/en A number of models are proposed to study the global money laundering, income from transnational crime, flowing through the financial system in the world, the money laundering impact on the banking system stability, economic security and risks evaluation in banks. The econometric models (Mazloumfard and Glans, 2017), liquidity stress testing (Krykliy and Luchko, 2018), Data Mining (Subeh and Yarovenko, 2017;Dean et al, 2017;Kirichenko et al, 2017), structured modeling (Vorontsova et al, 2018) are the most popular models.…”
Section: Marketing and Management Of Innovations 2019 Issuementioning
confidence: 99%
“…311 http://mmi.fem.sumdu.edu.ua/en A number of models are proposed to study the global money laundering, income from transnational crime, flowing through the financial system in the world, the money laundering impact on the banking system stability, economic security and risks evaluation in banks. The econometric models (Mazloumfard and Glans, 2017), liquidity stress testing (Krykliy and Luchko, 2018), Data Mining (Subeh and Yarovenko, 2017;Dean et al, 2017;Kirichenko et al, 2017), structured modeling (Vorontsova et al, 2018) are the most popular models.…”
Section: Marketing and Management Of Innovations 2019 Issuementioning
confidence: 99%
“…Domestic researchers in the sphere of risk management and in particular in the field of stress testing are represented by such scientists as I. М. Posokhov, O.O. Khodyreva (2018), Ramskyi A., Loiko V., Sobolieva-Tereshchenko O., Loiko D., Zharnikova V. (2017), Krykliy O., Luchko I., (2018). However, the fact that the use of stress testing is not wide-spread, makes it possible to judge about certain problems of the adaptation of the proposed methods to the current realities of the banking sector of the Ukrainian economy.…”
Section: Literature Reviewmentioning
confidence: 99%
“…With the rising prominence of subprime crisis assessment to reveal the main causes, one of the assumptions has revealed to be inadequate following this crisis, and which was the origin of the incapacity and the inability of the prudential rules, designed by the Basel Committee since the late 1980s in order to guarantee financial and banking stability in dealing with this crisis; was the fact that these current regulations and rules have underestimated and reduced the liquidity risk (Krykliy & Luchko, 2018). At that time, the regulator believed that the solvency capitalization ratio was more than enough and sufficient as a pivot for banking regulation and believed that these two risks (solvency and liquidity) were completely independent.…”
Section: Introductionmentioning
confidence: 99%