英文标题：
《Network models of financial systemic risk: A review》
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作者：
Fabio Caccioli, Paolo Barucca, and Teruyoshi Kobayashi
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最新提交年份：
2017
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英文摘要：
  The global financial system can be represented as a large complex network in which banks, hedge funds and other financial institutions are interconnected to each other through visible and invisible financial linkages. Recently, a lot of attention has been paid to the understanding of the mechanisms that can lead to a breakdown of this network. This can happen when the existing financial links turn from being a means of risk diversification to channels for the propagation of risk across financial institutions. In this review article, we summarize recent developments in the modeling of financial systemic risk. We focus in particular on network approaches, such as models of default cascades due to bilateral exposures or to overlapping portfolios, and we also report on recent findings on the empirical structure of interbank networks. The current review provides a landscape of the newly arising interdisciplinary field lying at the intersection of several disciplines, such as network science, physics, engineering, economics, and ecology.
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中文摘要：
全球金融体系可以被描述为一个庞大的复杂网络，其中银行、对冲基金和其他金融机构通过可见和不可见的金融联系相互关联。最近，人们非常关注对导致该网络崩溃的机制的理解。当现有的金融联系从风险分散的手段转变为跨金融机构传播风险的渠道时，就会发生这种情况。在这篇综述性文章中，我们总结了金融系统性风险建模的最新发展。我们特别关注网络方法，例如双边风险敞口或重叠投资组合导致的违约级联模型，我们还报告了关于银行间网络经验结构的最新发现。当前的综述提供了一个新出现的跨学科领域的景观，该领域位于多个学科的交叉点，如网络科学、物理学、工程学、经济学和生态学。
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Risk Management        风险管理
分类描述：Measurement and management of financial risks in trading, banking, insurance, corporate and other applications
衡量和管理贸易、银行、保险、企业和其他应用中的金融风险
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