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CoCDaR and mCoCDaR New Approach for Measurement of Systemic Risk Contributions

机译:Cocdar和Mcocdar测量系统风险贡献的新方法

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Systemic risk is the risk that the distress of one or more institutions trigger a collapseof the entire financial system. We extend CoVaR (value-at-risk conditioned on an institution)and CoCVaR (conditional value-at-risk conditioned on an institution) systemic risk contributionmeasures and propose a new CoCDaR (conditional drawdown-at-risk conditioned on an institution)measure based on drawdowns. This new measure accounts for consecutive negative returnsof a security, while CoVaR and CoCVaR combine together negative returns from different timeperiods. For instance, ten 2% consecutive losses resulting in 20% drawdown will be noticedby CoCDaR, while CoVaR and CoCVaR are not sensitive to relatively small one period losses.The proposed measure provides insights for systemic risks under extreme stresses related todrawdowns. CoCDaR and its multivariate version, mCoCDaR, estimate an impact on big cumulativelosses of the entire financial system caused by an individual firm’s distress. It can be used for rankingindividual systemic risk contributions of financial institutions (banks). CoCDaR and mCoCDaRare computed with CVaR regression of drawdowns. Moreover, mCoCDaR can be used to estimatedrawdowns of a security as a function of some other factors. For instance, we show how to performfund drawdown style classification depending on drawdowns of indices. Case study results, data,and codes are posted on the web.
机译:系统风险是一个或多个机构的痛苦引发整个金融体系的困境的风险。我们扩展了COVAR(在机构上的价值风险)和COCVAR(机构的条件价值 - 风险条件)系统风险贡献,并提出了一种新的Cocdar(在机构上有条件的降低风险)在下降。这项新的度量占安全的负责返回,而COVAR和COCVAR将负返回从不同的TimePeriods组合在一起。例如,Cocdar将收到20%缩减的10%连续损失,而CoVar和Cocvar对相对较小的一个时期损失不敏感。该措施为有关TOWDowns的极端压力下系统风险提供了见解。 Cocdar及其多变量版本,Mcocdar,估计由个人公司遇险造成的整个金融系统的大型积累率的影响。它可用于对金融机构(银行)的排名保证性的全身风险贡献。 Cocdar和Mcocdarare计算了CVAR回归的降幅。此外,Mcocdar可用于估计作为一些其他因素的函数的安全性。例如,我们展示了如何根据索引的缩减来执行序列绘制风格分类。案例研究结果,数据和代码在网上发布。

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