Financial Connections and Systemic Risk
AbstractWe develop a model where institutions form connections through swaps of projects in order to diversify their individual risk. These connections lead to two different network structures. In a clustered network groups of financial institutions hold identical portfolios and default together. In an unclustered network defaults are more dispersed. With long term finance welfare is the same in both networks. In contrast, when short term finance is used, the network structure matters. Upon the arrival of a signal about banks’ future defaults, investors update their expectations of bank solvency. If their expectations are low, they do not roll over the debt and there is systemic risk in that all institutions are early liquidated. We compare investors’ rollover decisions and welfare in the two networks.
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Bibliographic InfoPaper provided by European University Institute in its series Economics Working Papers with number ECO2010/30.
Date of creation: 2010
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Other versions of this item:
- Franklin Allen & Ana Babus & Elena Carletti, 2010. "Financial Connections and Systemic Risk," Economics Working Papers ECO2010/26, European University Institute.
- Allen, F. & Babus, A. & Carletti, E., 2010. "Financial Connections and Systemic Risk," Discussion Paper 2010-88S, Tilburg University, Center for Economic Research.
- Franklin Allen & Ana Babus & Elena Carletti, 2010. "Financial Connections and Systemic Risk," NBER Working Papers 16177, National Bureau of Economic Research, Inc.
- Allen, Franklin & Babus, Ana & Carletti, Elena, 2010. "Financial Connections and Systemic Risk," Working Papers 10-20, University of Pennsylvania, Wharton School, Weiss Center.
- G01 - Financial Economics - - General - - - Financial Crises
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-17 (All new papers)
- NEP-BAN-2010-07-17 (Banking)
- NEP-NET-2010-07-17 (Network Economics)
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