首页 | 本学科首页   官方微博 | 高级检索  
     检索      


How likely is contagion in financial networks?
Institution:1. Columbia Business School, Columbia University, United States;2. Department of Economics, University of Oxford, United Kingdom;3. Institute for New Economic Thinking, Oxford Martin School, United Kingdom;4. Office of Financial Research, U.S. Treasury, United States;1. New York University, United States;2. Department of Mathematical Sciences, Montclair State University, Montclair, NJ 07043, United States;1. CAMA, Crawford School of Public Policy, Australian National University, Australia;2. Department of Economics, University of Melbourne, Australia;3. School of Economics, La Trobe University, Australia;1. Department of Industrial Engineering and Operations Research, Columbia University, NY 10027, United States;2. School of Industrial Engineering, Purdue University, West Lafayette, IN 47906, United States;1. Mathematical Institute, University of Oxford, United Kingdom;2. Institute for New Economic Thinking at the Oxford Martin School, United Kingdom;3. Deutsche Bundesbank, Germany;4. University of Cape Town Graduate School of Business, South Africa;1. Deutsche Bundesbank, Germany;2. European Central Bank, Germany
Abstract:Interconnections among financial institutions create potential channels for contagion and amplification of shocks to the financial system. We estimate the extent to which interconnections increase expected losses and defaults under a wide range of shock distributions. In contrast to most work on financial networks, we assume only minimal information about network structure and rely instead on information about the individual institutions that are the nodes of the network. The key node-level quantities are asset size, leverage, and a financial connectivity measure given by the fraction of a financial institution’s liabilities held by other financial institutions. We combine these measures to derive explicit bounds on the potential magnitude of network effects on contagion and loss amplification. Spillover effects are most significant when node sizes are heterogeneous and the originating node is highly leveraged and has high financial connectivity. Our results also highlight the importance of mechanisms that go beyond simple spillover effects to magnify shocks; these include bankruptcy costs, and mark-to-market losses resulting from credit quality deterioration or a loss of confidence. We illustrate the results with data on the European banking system.
Keywords:Systemic risk  Contagion  Financial network
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号