Information Content of Skewness Risk Premium

Q4 Economics, Econometrics and Finance
Seok Goo Nam, Byunghoon Kang
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引用次数: 0

Abstract

The variance risk premium defined as the difference between risk neutral variance and physical variance is one of the most crucial information recovered from option prices. It does not, however, reflect the asymmetry in upside and downside movements of underlying asset returns, and also has limitation in reflecting asymmetric preference of investors over gains and losses. In this sense, this paper decomposes variance risk premium into downside - and upside-variance risk premium, and then derives the skewness risk premium and examines its effectiveness in predicting future underlying asset returns. Using KOSPI200 option prices, we obtained the following results. First, we found out that the estimated skewness risk premium has meaningful forecasting power for future stock returns, while the estimated variance risk premium has little forecasting power. Second, by utilizing our results of skewness risk premium, we developed a profitable investment strategy, which verifies the effectiveness of skewness risk premium in predicting future stock returns. In conclusion, the empirical results of this paper can contribute to the literature in that it helps us understand why variance risk premium, in most global markets except the US market, has not been successful in forecasting future stock returns. In addition, our results showing the profitability of investment strategies based on skewness risk premium can also give important implications to practitioners.
偏斜风险溢价的信息内容
方差风险溢价是指风险中性方差与实物方差之间的差额,是期权价格中最重要的信息之一。然而,它并不能反映标的资产收益上下波动的不对称性,而且在反映投资者对收益和损失的不对称偏好方面也有局限性。在此基础上,本文将方差风险溢价分解为下方差风险溢价和上方差风险溢价,推导出偏度风险溢价,并检验其对未来标的资产收益预测的有效性。利用KOSPI200期权价格,我们得到了以下结果:首先,我们发现估计偏度风险溢价对未来股票收益有显著的预测能力,而估计方差风险溢价对未来股票收益的预测能力很小。其次,利用偏度风险溢价的结果,我们制定了一个有利可图的投资策略,验证了偏度风险溢价在预测未来股票收益方面的有效性。综上所述,本文的实证结果有助于我们理解为什么方差风险溢价在除美国市场以外的大多数全球市场中未能成功预测未来股票收益。此外,我们的研究结果显示,基于偏度风险溢价的投资策略的盈利能力也可以给从业者提供重要的启示。
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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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
13
审稿时长
8 weeks
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