信用违约互换(cds)草拟网络:过于紧密而不稳定?

Rahul Kaushik, S. Battiston
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引用次数: 13

摘要

我们分析了一系列美国和欧洲主要机构在与最近的金融危机重叠的时期内CDS息差的时间序列。我们将现有的{\epsilon}-drawup的方法扩展到联合{\epsilon}-drawup的方法,以估计点间突然协同运动的条件概率。我们对随机性和有限大小效应进行了校正,发现某些CDS对的联合回撤的显著概率。我们还发现了显著的趋势约束概率,即在给定的CDS中,随后在相同的CDS中出现回撤。最后,我们将联合提款的概率矩阵作为机构间金融依赖网络的估计。然后,我们进行网络分析,以深入了解具有系统重要性的金融机构的作用。
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Credit Default Swaps Drawup Networks: Too Tied to Be Stable?
We analyse time series of CDS spreads for a set of major US and European institutions on a pe- riod overlapping the recent financial crisis. We extend the existing methodology of {\epsilon}-drawdowns to the one of joint {\epsilon}-drawups, in order to estimate the conditional probabilities of abrupt co-movements among spreads. We correct for randomness and for finite size effects and we find significant prob- ability of joint drawups for certain pairs of CDS. We also find significant probability of trend rein- forcement, i.e. drawups in a given CDS followed by drawups in the same CDS. Finally, we take the matrix of probability of joint drawups as an estimate of the network of financial dependencies among institutions. We then carry out a network analysis that provides insights into the role of systemically important financial institutions.
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