Sector Option Correlation Premiums and Predictable Changes in Implied Volatility

Apoorva Koticha, Chen Li, Joseph M. Marks
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引用次数: 0

Abstract

We examine options listed on sector ETFs that constitute the S&P 500 and find evidence of predictability in implied volatilities associated with abnormally high or low implied correlations. We show that sector-implied volatilities evolve to maintain stable relations between sector correlation premiums and the correlation premium on the S&P 500, allowing the calculation of a sector-specific, idiosyncratic correlation premium. The sector-specific correlation premium is a more reliable signal of future changes in sector-implied volatility relative to simple level measures of the volatility or correlation premiums due to its focus on correlation rather than volatility, and its adjustment for aggregate levels. Moreover, we find that one-day reversals in sector-implied volatilities are related only to reversals in the sector-specific correlation premium, and that information extracted from stock-implied volatilities has little or no predictive ability for sector-implied volatility. The predictable variation in sector-implied volatilities associated with the sector-specific component of the correlation premium forms the basis for profitable trading signals that dominate strategies based directly on sector volatility premiums.
行业期权相关性溢价与隐含波动率的可预测变化
我们研究了构成标准普尔500指数的行业ETF上列出的期权,并发现了与异常高或低隐含相关性相关的隐含波动性的可预测性证据。我们表明,行业隐含波动性的演变是为了维持行业相关性溢价和标准普尔500指数相关性溢价之间的稳定关系,从而允许计算特定行业的特殊相关性溢价。相对于波动性或相关性溢价的简单水平衡量,特定行业的相关性溢价是行业隐含波动性未来变化的更可靠信号,因为它关注相关性而非波动性,并对总水平进行调整。此外,我们发现,板块隐含波动率的单日反转仅与特定板块相关性溢价的反转有关,而从股票隐含波动率中提取的信息对板块隐含波动性的预测能力很小或根本没有。与相关性溢价的特定部门组成部分相关的部门隐含波动性的可预测变化构成了盈利交易信号的基础,这些信号直接基于部门波动性溢价主导策略。
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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11
审稿时长
24 weeks
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