2022
DOI: 10.1111/eufm.12360
|View full text |Cite
|
Sign up to set email alerts
|

Interbank contagion risk in China under an ABM approach for network formation

Abstract: This paper uses an agent‐based model to construct an interbank network for the Chinese interbank market using a sample of 299 commercial banks from 2014 to 2019. We analyze the importance and vulnerability of banks using the DebtRank algorithm. Our results show that the Chinese interbank market bears a certain level of systemic risk, especially among lower‐tiered banks. The results also show a bank is more vulnerable if it has a higher interbank lending ratio and greater financial connectivity. Meanwhile, a ba… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 52 publications
0
1
0
Order By: Relevance
“…The application of network theory in finance, which Quesnay introduced in 1758, has gained widespread acceptance in academic circles and is frequently used to explain economic phenomena within the financial system (Allen & Babus, 2011;. For example, the origin of the crisis in the Chinese financial sector was found through the analysis of the interbank network (Lin & Zhang, 2022). The volatility network also reveals the most influential market among G20 stock markets by calculating network centrality (W. Zhang et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…The application of network theory in finance, which Quesnay introduced in 1758, has gained widespread acceptance in academic circles and is frequently used to explain economic phenomena within the financial system (Allen & Babus, 2011;. For example, the origin of the crisis in the Chinese financial sector was found through the analysis of the interbank network (Lin & Zhang, 2022). The volatility network also reveals the most influential market among G20 stock markets by calculating network centrality (W. Zhang et al, 2020).…”
Section: Introductionmentioning
confidence: 99%