系统性风险措施:越简单越好?

María Rodríguez-Moreno, J. Peña
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引用次数: 222

摘要

我们以2004年1月至2009年11月期间欧洲20家最大银行和美国13家最大银行为样本,计算了6套不同的系统性风险指标。这六项措施是基于i)银行信用违约互换(CDS)的主要成分,ii)银行间息差,iii)结构性信用风险模型,iv)抵押债务凭证(cdo)指数及其分级,v)从CDS息差计算的多元密度,vi)共同风险措施。然后,我们使用三个不同的标准对这些措施进行排名:i)因果关系测试,ii)价格发现测试,以及iii)它们与系统事件指数的相关性。对于欧洲和美国市场,最佳指标分别是单名cds的第一主成分和LIBOR-OIS或LIBOR-TBILL价差,而最不可靠的指标是共同风险指标和从CDO指数及其分段中提取的系统价差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systemic Risk Measures: The Simpler the Better?
We compute six different sets of systemic risk measures for a sample of the 20 biggest European and 13 biggest US banks from January 2004 to November 2009. The six measures are based on i) Principal components of the bank’s Credit Default Swaps (CDSs), ii) Interbank interest rate spreads, iii) Structural credit risk models, iv) Collateralized Debt Obligations (CDOs) indexes and their tranches, v) Multivariate densities computed from CDS spreads and vi) Co-Risk measures. We then rank the measures using three different criteria: i) Causality tests, ii) Price discovery tests and iii) their correlation with an index of systemic events. For the European and US markets, the best indicators are the first Principal Component of the single-name CDSs and the LIBOR-OIS or LIBOR-TBILL spreads, respectively, whereas the least reliable indicators are the Co-Risk measures and the systemic spreads extracted from the CDO indexes and their tranches.
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