利用VIX指数积极利用被动型行业产生Alpha

Michael Gayed
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引用次数: 2

摘要

大量的学术研究已经证明,在股票市场的各个板块内部和各个板块之间,动量是一种比被动基准产生阿尔法的手段。然而,很少有研究使用芝加哥交易所(CBOE)波动率指数(VIX)作为触发因素,从均值回归的角度来处理行业配置。我们发现,在股市低波动期间投资防御性行业,在高波动期间投资周期性行业,会产生显著的长期阿尔法。利用这一框架,我们对记录收益差异的美元中性策略进行了回测,并创建了一个修改后的标准普尔500指数,该指数基于VIX水平系统地增持和减持周期性和防御性行业。使用波动率指数水平的行业配置策略的绝对和相对回报明显优于使用均值回归生成alpha的被动买入并持有策略。我们假设这种方法可能有效,因为与损失厌恶和处置效应相关的行为偏差造成了在极端市场压力期间可重复和可利用的错误定价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Actively Using Passive Sectors to Generate Alpha Using the VIX
A significant amount of academic research has documented momentum within and across broad sectors of the stock market as a means of generating alpha over a passive benchmark. However, few studies approach sector allocation from a mean reversion perspective using the Chicago Board of Exchange (CBOE) Volatility Index (VIX) as the trigger. We find that positioning into defensive sectors during periods of low volatility for the stock market, and into cyclical sectors during periods of high volatility produces significant long-term alpha. Using this framework, we back-test a dollar neutral strategy documenting return differentials, and create a modified S&P 500 Index that over-weights and underweights cyclical and defensive sectors systematically based on VIX levels. Absolute and relative returns for a sector allocation strategy that uses VIX levels significantly outperforms a passive buy and hold approach by using mean reversion to generate alpha. We postulate that the approach likely works because of behavioral biases related to loss aversion and the disposition effect creating mispricing that are repeatable and exploitable during periods of extreme market stress.
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