Quantile Risk Premiums

Felix Brinkmann, Julian Dörries, O. Korn
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Abstract

This paper studies quantile-based moment premiums. The quantile-based approach delivers robust and flexible alternatives to premiums for variance, skewness and kurtosis risk and enhances our understanding of the pricing of risks in derivatives markets. To quantify these premiums, the paper introduces a new class of synthetic derivatives contracts: quantile swaps. Such contracts mimic quantile-based moment measures from robust statistics. An empirical study of index options detects two distinct premiums for dispersion and asymmetry, but no premium for steepness. This finding is in clear contrast to results obtained through traditional moment swaps and warns us to interpret moment premiums carefully.
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分位数风险保费
本文研究了基于分位数的矩溢价。基于分位数的方法为方差、偏度和峰度风险的溢价提供了强大而灵活的替代方案,并增强了我们对衍生品市场风险定价的理解。为了量化这些溢价,本文引入了一类新的合成衍生品合约:分位数掉期。这种契约模仿了健壮统计数据中基于分位数的力矩度量。一项对指数期权的实证研究发现,分散度和不对称性有两种明显的溢价,但陡峭度没有溢价。这一发现与通过传统的时刻互换获得的结果形成鲜明对比,并警告我们仔细解释时刻溢价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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