Improving Portfolio Selection Using Option-Implied Volatility and Skewness
Our objective in this paper is to examine whether one can use option-implied information to improve the selection of portfolios with a large number of stocks, and to document which aspects of option-implied information are most useful for improving their out-of-sample performance.
Author(s):
London Business School
Goethe University Frankfurt
CEPR and EDHEC Business School
Goethe University Frankfurt
Portfolio performance is measured in terms of four metrics: volatility, Sharpe ratio, certainty-equivalent return and turnover. Our empirical evidence shows that, while using option-implied volatility and correlation does not significantly improve the portfolio volatility, Sharpe ratio and certainty-equivalent return, exploiting information contained in the volatility risk premium and option- implied skewness substantially increases both the Sharpe ratio and certainty- equivalent return, although this is accompanied by higher turnover. Moreover, the volatility risk premium and option-implied skewness help improve not just the performance of mean-variance portfolios, but also the performance of parametric portfolios developed in Brandt, Santa-Clara and Valkanov (2009).
| Type: | Working paper |
|---|---|
| Date: | le 03/01/2011 |
| Research Cluster : | Finance |
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