Reconciling negative return skewness with positive time-varying risk premia

IF 0.8 4区 经济学 Q3 ECONOMICS Econometric Reviews Pub Date : 2022-09-14 DOI:10.1080/07474938.2022.2072323
Dimitra Kyriakopoulou, C. Hafner
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Abstract

Abstract One of the implications of the intertemporal capital asset pricing model (ICAPM) is a positive and linear relationship between the conditional mean and conditional variance of returns to the market portfolio. Empirically, however, it is often observed that there is a negative skewness in equity returns. This article shows that a negative skewness is only compatible with a positive risk premium if the innovation distribution is asymmetric with a negative skewness. We extend recent work using the EGARCH-in-Mean specification to allow for asymmetric innovations, and give results for the unconditional skewness of returns. We apply the model to the prediction of Value-at-Risk of the largest stock market indices, and demonstrate its good performance. Keywords: Exponential GARCH, in-mean, risk premium, ICAPM, unconditional skewness, asymmetric distribution, portfolio selection, Value-at-Risk.
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负收益偏度与正时变风险溢价的调和
跨期资本资产定价模型(ICAPM)的一个启示是市场投资组合收益的条件均值与条件方差之间存在正线性关系。然而,从经验上看,经常观察到股票回报存在负偏度。本文表明,只有当创新分布不对称且负偏度时,负偏度才与正风险溢价相容。我们使用EGARCH-in-Mean规范扩展了最近的工作,以允许不对称创新,并给出了回报的无条件偏度的结果。我们将该模型应用于最大的股票市场指数的风险价值预测,并证明了它的良好性能。关键词:指数GARCH,均值,风险溢价,ICAPM,无条件偏度,不对称分布,投资组合选择,风险价值
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来源期刊
Econometric Reviews
Econometric Reviews 管理科学-数学跨学科应用
CiteScore
1.70
自引率
0.00%
发文量
27
审稿时长
>12 weeks
期刊介绍: Econometric Reviews is widely regarded as one of the top 5 core journals in econometrics. It probes the limits of econometric knowledge, featuring regular, state-of-the-art single blind refereed articles and book reviews. ER has been consistently the leader and innovator in its acclaimed retrospective and critical surveys and interchanges on current or developing topics. Special issues of the journal are developed by a world-renowned editorial board. These bring together leading experts from econometrics and beyond. Reviews of books and software are also within the scope of the journal. Its content is expressly intended to reach beyond econometrics and advanced empirical economics, to statistics and other social sciences.
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