FEER Index - Forecasting Extreme Events Risk

Amitay Kauffmann, Gal Zahavi
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Abstract

In 2008, the S&P500 aggregated a loss of 30.16% during three selected days. Unfortunately, benchmark risk measures didn't forecast these hazards. Consequently, we witness a growing interest in coherent risk measures, sensitive to high moments and heavy tail risk. Such measures were proposed by Aumann-Serrano (2007) and Foster-Hart (2008). As a generalization of these measures, we construct the FEER Index, coherent down-side risk measure "Forecasting Extreme Events Risk", sensitive to heavy tail risk. We present closed-form solution as a function of the return moments, V aR and CV aR. Furthermore, the FEER Index is dynamically calibrated to the market, becoming a live seismograph for market catastrophes.
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FEER指数-预测极端事件风险
2008年,标准普尔500指数在选定的三个交易日累计下跌30.16%。不幸的是,基准风险指标并没有预测到这些风险。因此,我们看到对一致性风险度量的兴趣日益增长,对高时刻和重尾部风险敏感。这些措施是由Aumann-Serrano(2007)和Foster-Hart(2008)提出的。作为这些指标的推广,我们构建了FEER指数,即对重尾风险敏感的连贯下行风险指标“预测极端事件风险”。我们提出了封闭形式的解决方案,作为回报矩,var和CV aR的函数。此外,FEER指数是根据市场动态校准的,成为市场灾难的实时地震仪。
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