Tail-risk mitigation with managed volatility strategies

被引:2
|
作者
Dreyer, Anna A. [1 ]
Hubrich, Stefan [1 ]
机构
[1] T Rowe Price, 100 E Pratt St, Baltimore, MD 21202 USA
来源
JOURNAL OF INVESTMENT STRATEGIES | 2019年 / 8卷 / 01期
关键词
managed volatility (MV); tail-risk mitigation; return distribution normalization; utility-based performance metrics; ECONOMIC VALUE; FRAMEWORK; PROOF; MODEL;
D O I
10.21314/JOIS.2019.107
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Managed volatility strategies adjust market exposure in inverse relation to a risk estimate, to stabilize realized portfolio volatility through time. Our paper examines strategy performance from an investment practitioner perspective. Using long-term data from the Standard & Poor's 500, we show that these strategies offer an improvement in risk-adjusted return compared with a buy-and-hold benchmark, on average, but with some variation. Managed volatility strategies achieve robust tail-risk reduction while also enhancing skewness. These return normalization features are inherently linked to the nature of the volatility stabilization mechanism. We illustrate them via utility-based metrics that reward the tail-risk reduction emanating from volatility stabilization. These enhancements are economically meaningful for many time horizons and holding period combinations, and they remain once transaction costs have been included, suggesting a durable and tangible value-add from managed volatility strategies. They also suggest a more appropriate way to measure the performance improvements of tail-risk-mitigating strategies.
引用
收藏
页码:29 / 56
页数:28
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