Can Market Regimes Really be Timed with Historical Volatility?

Richard J. McGee
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Abstract

Recent research findings suggest long-term investor utility benefits through scaling expected returns by recent realized volatility. We test for utility gains to volatility timing using a utility regime-based methodology to classify investor-specific market investment regimes based solely on recent realized volatility levels. Under this framework we find limited informational content in using recent realized volatility to forecast utility regimes for the market index. To reconcile our findings we replicate work by Moreira and Muir (2017) and find that their reported Sharpe ratio gains through volatility-managing the US market factor do not appear to be statistically significant. We find that their scheme under-performs buy and hold in terms of Sharpe ratio over 30 of the 70 twenty year sub-periods in our sample (58 out of 70 for an un-leveraged investor). Furthermore, the historical out-performance of volatility management for the market index is highly sensitive to the timing of re-balancing within a month, suggesting that the strategy may not be robust to the precise timing of key market events relative to volatility changes. Strategy adopters should be aware that this timing is not guaranteed to line up favorably over future investment periods.
市场机制真的能与历史波动同步吗?
最近的研究结果表明,长期投资者的效用是通过将预期回报与近期实现的波动率进行比例化来实现的。我们使用基于效用制度的方法来测试波动时机的效用收益,该方法仅基于最近实现的波动水平对投资者特定的市场投资制度进行分类。在这个框架下,我们发现利用最近实现的波动率来预测市场指数的效用机制的信息内容有限。为了调和我们的发现,我们复制了Moreira和Muir(2017)的工作,并发现他们通过波动性管理美国市场因素报告的夏普比率收益似乎在统计上并不显著。我们发现,在我们样本的70个20年子周期中,有30个的夏普比率(非杠杆投资者的70个子周期中有58个),他们的计划表现不如买入并持有。此外,市场指数波动率管理的历史优异表现对一个月内重新平衡的时间高度敏感,这表明该策略可能对相对于波动率变化的关键市场事件的精确时间不够稳健。策略采用者应该意识到,这个时机并不能保证在未来的投资期间保持有利。
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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