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We study cascades of failures in a network of interdependent financial organizations: how discontinuous changes in asset values (e.g., defaults and shutdowns) trigger further failures, and how this depends on network structure. Integration (greater dependence on counterparties) and diversification (more counterparties per organization) have different, nonmonotonic effects on the extent of cascades. Diversification connects the network initially, permitting cascades to travel; but as it increases further, organizations are better insured against one another's failures. Integration also faces trade-offs: increased dependence on other organizations versus less sensitivity to own investments. Finally, we illustrate the model with data on European debt cross-holdings. (JEL D85, F15, F34, F36, F65, G15, G32, G33, G38)
330, 3502 Banking, Finance and Investment, 35 Commerce, Management, Tourism and Services, jel: jel:D85, jel: jel:H63, jel: jel:G32, jel: jel:F34, jel: jel:G33, jel: jel:G15
330, 3502 Banking, Finance and Investment, 35 Commerce, Management, Tourism and Services, jel: jel:D85, jel: jel:H63, jel: jel:G32, jel: jel:F34, jel: jel:G33, jel: jel:G15
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 869 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |