Accurate Evaluation of Expected Shortfall for Linear Portfolios with Elliptically Distributed Risk Factors

Dobrislav Dobrev, T. Nesmith, D. Oh
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引用次数: 11

Abstract

We provide an accurate closed-form expression for the expected shortfall of linear portfolios with elliptically distributed risk factors. Our results aim to correct inaccuracies that originate in Kamdem (2005) and are present also in at least thirty other papers referencing it, including the recent survey by Nadarajah et al. (2014) on estimation methods for expected shortfall. In particular, we show that the correction we provide in the popular multivariate Student t setting eliminates understatement of expected shortfall by a factor varying from at least four to more than 100 across different tail quantiles and degrees of freedom. As such, the resulting economic impact in financial risk management applications could be significant. We further correct such errors encountered also in closely related results in Kamdem (2007 and 2009) for mixtures of elliptical distributions. More generally, our findings point to the extra scrutiny required when deploying new methods for expected shortfall estimation in practice.
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具有椭圆分布风险因子的线性投资组合的期望缺口准确评价
我们提供了具有椭圆分布风险因子的线性投资组合的期望亏损的精确封闭表达式。我们的研究结果旨在纠正源自Kamdem(2005)的不准确之处,这些不准确之处至少也出现在其他30篇引用Kamdem的论文中,包括Nadarajah等人(2014)最近对预期缺口估计方法的调查。特别是,我们表明,我们在流行的多变量Student t设置中提供的校正消除了对预期不足的低估,该因素在不同的尾分位数和自由度上从至少4到100以上不等。因此,由此产生的金融风险管理应用的经济影响可能是显著的。我们进一步纠正了在Kamdem(2007年和2009年)的密切相关的椭圆分布混合结果中也遇到的这种错误。更一般地说,我们的发现指出,在实践中为预期不足估计部署新方法时,需要额外的审查。
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