Assessing the Systemic Risk of a Heterogeneous Portfolio of Banks during the Recent Financial Crisis

IF 0.4 4区 经济学 Q4 BUSINESS, FINANCE Journal of Derivatives Pub Date : 2009-10-01 DOI:10.2139/ssrn.1459946
Xin Huang, Hao Zhou, Haibin Zhu
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引用次数: 248

Abstract

This paper extends the approach of measuring and stress-testing the systemic risk of a banking sector in Huang, Zhou, and Zhu (2009) to identifying various sources of financial instability and to allocating systemic risk to individual financial institutions. The systemic risk measure, defined as the insurance cost to protect against distressed losses in a banking system, is a risk-neutral concept of capital based on publicly available information that can be appropriately aggregated across different subsets. An application of our methodology to a portfolio of twenty-two major banks in Asia and the Pacific illustrates the dynamics of the spillover effects of the global financial crisis to the region. The increase in the perceived systemic risk, particularly after the failure of Lehman Brothers, was mainly driven by the heightened risk aversion and the squeezed liquidity. The analysis on the marginal contribution of individual banks to the systemic risk suggests that ``too-big-to-fail" is a valid concern from a macroprudential perspective of bank regulation.
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近期金融危机中银行异质投资组合的系统性风险评估
本文扩展了Huang, Zhou, and Zhu(2009)对银行业系统性风险的测量和压力测试方法,以识别金融不稳定的各种来源,并将系统性风险分配给单个金融机构。系统性风险度量,定义为防止银行系统不良损失的保险成本,是一种风险中性的资本概念,基于可以在不同子集中适当汇总的公开可用信息。将我们的方法应用于亚太地区22家主要银行的投资组合,说明了全球金融危机对该地区溢出效应的动态。感知到的系统性风险的增加,尤其是在雷曼兄弟(Lehman Brothers)破产之后,主要是由风险厌恶情绪加剧和流动性紧缩所驱动的。对单个银行对系统性风险的边际贡献的分析表明,从银行监管的宏观审慎角度来看,“太大而不能倒”是一个合理的担忧。
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来源期刊
Journal of Derivatives
Journal of Derivatives Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
14.30%
发文量
35
期刊介绍: The Journal of Derivatives (JOD) is the leading analytical journal on derivatives, providing detailed analyses of theoretical models and how they are used in practice. JOD gives you results-oriented analysis and provides full treatment of mathematical and statistical information on derivatives products and techniques. JOD includes articles about: •The latest valuation and hedging models for derivative instruments and securities •New tools and models for financial risk management •How to apply academic derivatives theory and research to real-world problems •Illustration and rigorous analysis of key innovations in derivative securities and derivative markets
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