2017
DOI: 10.14254/2071-8330.2017/10-3/20
|View full text |Cite
|
Sign up to set email alerts
|

Stability analysis of the banking system: a complex systems approach

Abstract: Abstract. The present work deals with the stability analysis of a banking system with the structure in the form of Apollonian graph based on such characteristics of the banking system as the modularity and inhomogeneous distribution of banks by degree, on the basis of the extended mean-field Nier model (a static approach based on a simplified balance sheet of assets and liabilities of the bank) which was used to analyze the extent of the process of bankruptcy of banks after the default of one of the banks in t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
3
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 43 publications
0
3
0
Order By: Relevance
“…From the banks' perspective, the causes of credit risk can be divided into several sub-causes related to banks' own decisions: credit criteria towards entrepreneurs (Belás et al, 2017;Karaev et al, 2017), client's credit rating (Greene & Saridakis, 2008), measuring default (Balcerzak et al, 2017;Kliestik et al, 2018;Kliestikova et al, 2018;Maciag & Löderbusch, 2017;Siekelova et al, 2017;Gavurova et al, 2017), credit risk duration (Haghani, 2016), and others. Other types of causes are those stemming from the development of political and economic situation in a respective country (Perez et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…From the banks' perspective, the causes of credit risk can be divided into several sub-causes related to banks' own decisions: credit criteria towards entrepreneurs (Belás et al, 2017;Karaev et al, 2017), client's credit rating (Greene & Saridakis, 2008), measuring default (Balcerzak et al, 2017;Kliestik et al, 2018;Kliestikova et al, 2018;Maciag & Löderbusch, 2017;Siekelova et al, 2017;Gavurova et al, 2017), credit risk duration (Haghani, 2016), and others. Other types of causes are those stemming from the development of political and economic situation in a respective country (Perez et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…When analyzing the literature on the subject and the studies undertaken so far on the determinants of the country's financial security, one could see that in their works the authors most often used such variables as: the level of the budget deficit, the country's foreign reserves, external debt, in % to the GDP, internal debt, in % to the GDP, level of monetization of economy, level of inflation, return on financial assets, the credit portfolio share in assets, and the ratio of the aggregate assets of the banking system to the GDP (Karaev et al, 2017), or indicators such as Government debt/GDP, Government budget deficit/GDP, Long-term interest rate of the government bonds or Money stock (M2)/GDP (Semjonova, 2016). Using the available literature on the subject and based on the results of available studies saying that the banking sector plays a key role in ensuring the financial security of the state, it was decided to study the impact of individual indicators describing the level of financial security of the state on the stability of the share of banking sector assets to GDP.…”
Section: Discussionmentioning
confidence: 99%
“…Farmer et al (2012) suggest orienting the management of the financial markets around the approach that links these markets with real economy and macroeconomic modelling and better understanding the processes in the real economy which lead to financial crises. Karaev et al (2017) also refer to banking sector regulation and supervision. They argue that effective system of macroprudential regulation aimed at achieving financial stability should take into account existing modular-hierarchical architecture of banking system.…”
Section: The Reaction Of the System And The Escalation Effectmentioning
confidence: 99%