Volatility as an Alternative Asset Class: Does It Improve Portfolio Performance?

Elvira Caloiero; Massimo Guidolin; Elvira Caloiero; Massimo Guidolin

doi:10.3934/QFE.2017.4.334

Quantitative Finance and Economics

2017, Volume 1, Issue 4: 334-362. doi: 10.3934/QFE.2017.4.334

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Research article Special Issues

Volatility as an Alternative Asset Class: Does It Improve Portfolio Performance?

Elvira Caloiero ,
Massimo Guidolin ^,

Bocconi University Finance Dept., and BAFFI-CAREFIN, via Roentgen 1, 20136 Milan, Italy

Received: 29 July 2017 Accepted: 20 November 2017 Published: 13 December 2017

We investigate the potential role of Exchange Traded Products (Notes) as vehicles to trade volatility (here proxied by the VIX index) as an asset class in a fully optimizing asset allocation framework, subject to long-only constraints. In back-testing, recursive exercises based on an expanding window of data from February 2010 to February 2016, we find evidence that VIX should enter with non-negligible weight most portfolio strategies and that under many circumstances, long VIX positions may generate positive risk-adjusted performance benefits. However, the volatility positions that can be managed and traded through (one of) the most popular US exchange-traded notes (VXX) fails to deliver such realized, out-of-sample benefits under all utility functions and for a range of assumptions on investors' risk aversion. Even though the turnover implied by VXX does not appear excessive, taking into account transaction costs worsens considerably its performance and even casts doubts as to whether volatility ought to be considered as an alternative asset class altogether. Direct strategies that trade appropriate futures on the VIX improve somewhat realized performance, but not enough to tilt over the balance of our conclusions.

Keywords:

Citation: Elvira Caloiero, Massimo Guidolin. Volatility as an Alternative Asset Class: Does It Improve Portfolio Performance?[J]. Quantitative Finance and Economics, 2017, 1(4): 334-362. doi: 10.3934/QFE.2017.4.334

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Abstract

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