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Risk factor contributions in portfolio credit risk models

机译:投资组合信用风险模型中的风险因素贡献

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Determining contributions to overall portfolio risk is an important topic in risk management. For positions (instruments and sub-portfolios), this problem has been well studied, and a significant theory built, around the calculation of marginal contributions. We consider the problem of determining the contributions to portfolio risk of risk factors. This cannot be addressed through an immediate extension of techniques for position contributions, since the portfolio loss is a nonlinear function of the risk factors. We employ the Hoeffding decomposition of the portfolio loss into a sum of terms depending on the factors. This decomposition restores linearity, but includes terms arising from joint effects of groups of factors. These cross-factor terms provide information to risk managers, since they can be viewed as best hedges of the portfolio loss involving instruments of increasing complexity. We illustrate the technique on multi-factor portfolio credit risk models, where systematic factors represent industries, geographical sectors, etc.
机译:确定对整体投资组合风险的贡献是风险管理中的重要主题。对于头寸(工具和子组合),这个问题已经得到了很好的研究,并且围绕边际贡献的计算建立了重要的理论。我们考虑确定风险因素对投资组合风险的贡献的问题。由于投资组合损失是风险因素的非线性函数,因此无法通过立即扩展头寸贡献技术来解决。我们将投资组合损失的Hoeffding分解分解为取决于这些因素的总和。此分解可恢复线性,但包括因各组因素共同作用而产生的项。这些跨要素术语可以为风险管理者提供信息,因为它们可以被视为涉及复杂性日益增加的工具的投资组合损失的最佳对冲工具。我们在多因素投资组合信用风险模型上说明了该技术,其中系统性因素代表行业,地​​理区域等。

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