Interbank lending and distress
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We provide empirical evidence on the relevance of systemic risk through the interbank lending channel. We adapt a spatial probit model that allows for correlated error terms in the cross-sectional variation that depend on the measured network connections of the banks. The latter are in our application observed interbank exposures among German bank holding companies during 2001 and 2006. The results clearly indicate significant spillover effects between banks’ probabilities of distress and the financial profiles of connected peers. Better capitalized and managed connections reduce the banks own risk. Higher network centrality reduces the probability of distress, supporting the notion that more complete networks tend to be more stable. Finally, spatial autocorrelation is significant and negative. This last result may indicate too-many-to-fail mechanics such that bank distress is less likely if many peers already experienced distress.
Nákup knihy
Interbank lending and distress, Ben R. Craig
- Jazyk
- Rok vydání
- 2014
Doručení
Platební metody
2021 2022 2023
Navrhnout úpravu
- Titul
- Interbank lending and distress
- Jazyk
- anglicky
- Autoři
- Ben R. Craig
- Vydavatel
- Dt. Bundesbank Press and Public Relations Div.
- Rok vydání
- 2014
- ISBN10
- 3957290481
- ISBN13
- 9783957290489
- Série
- Discussion paper / Deutsche Bundesbank; Eurosystem
- Kategorie
- Podnikání a ekonomie
- Anotace
- We provide empirical evidence on the relevance of systemic risk through the interbank lending channel. We adapt a spatial probit model that allows for correlated error terms in the cross-sectional variation that depend on the measured network connections of the banks. The latter are in our application observed interbank exposures among German bank holding companies during 2001 and 2006. The results clearly indicate significant spillover effects between banks’ probabilities of distress and the financial profiles of connected peers. Better capitalized and managed connections reduce the banks own risk. Higher network centrality reduces the probability of distress, supporting the notion that more complete networks tend to be more stable. Finally, spatial autocorrelation is significant and negative. This last result may indicate too-many-to-fail mechanics such that bank distress is less likely if many peers already experienced distress.