“…Indeed in the economic literature financial crises that have hit countries all around the globe have led to a boom of papers on banking-crises, financial risk-analysis and to numerous policy initiatives to improve financial stability. One of the major concerns in these debates is the danger of so called systemic risk: the large scale breakdown of financial intermediation due to domino effects of insolvency [4,5]. The network of mutual credit relations between financial institutions is supposed to play a key role in the risk for contagious defaults.…”
We provide an empirical analysis of the network structure of the Austrian interbank market based on Austrian Central Bank (OeNB) data. The interbank market is interpreted as a network where banks are nodes and the claims and liabilities between banks define the links. This allows us to apply methods from general network theory. We find that the degree distributions of the interbank network follow power laws. Given this result we discuss how the network structure affects the stability of the banking system with respect to the elimination of a node in the network, i.e. the default of a single bank. Further, the interbank liability network shows a community structure that exactly mirrors the regional and sectoral organization of the current Austrian banking system. The banking network has the typical structural features found in numerous other complex real-world networks: a low clustering coefficient and a short average path length. These empirical findings are in marked contrast to the network structures that have been assumed thus far in the theoretical economic and econo-physics literature.
“…Indeed in the economic literature financial crises that have hit countries all around the globe have led to a boom of papers on banking-crises, financial risk-analysis and to numerous policy initiatives to improve financial stability. One of the major concerns in these debates is the danger of so called systemic risk: the large scale breakdown of financial intermediation due to domino effects of insolvency [4,5]. The network of mutual credit relations between financial institutions is supposed to play a key role in the risk for contagious defaults.…”
We provide an empirical analysis of the network structure of the Austrian interbank market based on Austrian Central Bank (OeNB) data. The interbank market is interpreted as a network where banks are nodes and the claims and liabilities between banks define the links. This allows us to apply methods from general network theory. We find that the degree distributions of the interbank network follow power laws. Given this result we discuss how the network structure affects the stability of the banking system with respect to the elimination of a node in the network, i.e. the default of a single bank. Further, the interbank liability network shows a community structure that exactly mirrors the regional and sectoral organization of the current Austrian banking system. The banking network has the typical structural features found in numerous other complex real-world networks: a low clustering coefficient and a short average path length. These empirical findings are in marked contrast to the network structures that have been assumed thus far in the theoretical economic and econo-physics literature.
Abstract.Starting from an empirical analysis of the network structure of the Austrian inter-bank market, we study the flow of funds through the banking network following exogenous shocks to the system. These shocks are implemented by stochastic changes in variables like interest rates, exchange rates, etc. We demonstrate that the system is relatively stable in the sence that defaults of individual banks are unlikely to spread over the entire network. We study the contagion impact of all individual banks, meaning the number of banks which are driven into insolvency as a result of a single bank's default. We show that the vertex betweenness of individual banks is linearly related to their contagion impact.
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