分解高时刻风险溢价与市场收益可预测性

Julian Dörries
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摘要

在对标准的实证研究中;本文以标普500指数期权为研究对象,利用分解后的高时刻风险溢价分析了未来市场超额收益的可预测性。该研究提出了峰度风险溢价的新度量,并建议将高时刻风险溢价分解为下行和上行溢价。从而增强了对高时刻风险溢价的理解。分解为回报预测揭示了有价值的信息,因为分解的高时刻风险溢价提供了改进的样本内预测。在样本外研究中,分解的高时刻风险溢价的预测能力被证明特别受到下行高时刻风险溢价的驱动。
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Decomposed Higher-Moment Risk Premiums and Market Return Predictability
In an empirical study of Standard & Poor's 500 index options, this paper analyses the predictability of future market excess returns by means of decomposed higher-moment risk premiums. The study proposes a new measure of kurtosis risk premium and suggests a decomposition of higher-moment risk premiums up to the fourth moment into downside and upside premiums. Thereby, the paper enhances the understanding of higher-moment risk premiums. The decomposition uncovers valuable information for return forecasts, as decomposed higher-moment risk premiums deliver improved in-sample predictions. In an out-of-sample study, the predictive power of decomposed higher-moment risk premiums is shown to be particularly driven by downside higher-moment risk premiums.
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