Optimal portfolio allocation using option‐implied information

Maria Kyriacou, Jose Olmo and Marius Strittmatter

Journal of Futures Markets, 2021, vol. 41, issue 2, 266-285

Abstract: This paper explores option‐implied information measures for optimal portfolio allocation. We introduce two state variables constructed from option prices. The first state variable is the risk‐premium on the risky asset and the second variable is the market price of risk. We also explore a lognormal distribution, a mixture of lognormal distributions, and a binomial tree for constructing the implied risk‐neutral density function. Using a combination of statistical and economic measures applied to a portfolio given by the 1‐month US Treasury bill and the S&P 500 Index we show the good performance of option‐implied information measures for optimal portfolio allocation.

Date: 2021
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https://doi.org/10.1002/fut.22177

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