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11 - Network Models and Systemic Risk Assessment
- from PART IV - NETWORKS
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- By Helmut Elsinger, Economic Studies Division, Alfred Lehar, University of Calgary, Martin Summer, Economic Studies Division
- Edited by Jean-Pierre Fouque, University of California, Santa Barbara, Joseph A. Langsam, University of Maryland, College Park
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- Book:
- Handbook on Systemic Risk
- Published online:
- 05 June 2013
- Print publication:
- 23 May 2013, pp 287-305
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- Chapter
- Export citation
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Summary
Abstract Over recent years a number of network models of interbank markets have been developed and applied to the analysis of insolvency contagion and systemic risk. In this chapter we survey the concepts used in these models and discuss their main findings as well as their applications in systemic risk analysis. Network models are designed to address potential domino effects resulting from the failure of financial institutions. Specifically they attempt to answer the question of whether the failure of one institution will result in the subsequent failure of others. Since in a banking crisis authorities usually intervene to stabilize the banking system, failures and contagious failures by domino effects are very rarely observed in practice. Empirical analysis is thus difficult and as a consequence most studies of insolvency contagion are built on simulation models. In this chapter we describe in some detail how such simulations are designed and discuss the main insights that have so far been obtained by applications to the complex network of real world exposure data of banking systems.
Keywords Contagion, Interbank Market, Systemic Risk, Financial Stability. JEL-Classification Numbers: G21, C15, C81, E44
Introduction
Will the failure of a financial institution be a threat to the stability of the banking system? This is a key question for authorities in the management of a financial crisis. At the height of a crisis the general level of uncertainty and the panic among market participants usually lead to stabilization policies and interventions of the public sector.