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Optimal Market Completion through Financial Derivatives with Applications to Volatility Risk

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  • Matt Davison

    (Department of Statistical and Actuarial Sciences, Western University, London, ON N6A 3K7, Canada
    Department of Mathematics, Western University, London, ON N6A 3K7, Canada)

  • Marcos Escobar-Anel

    (Department of Statistical and Actuarial Sciences, Western University, London, ON N6A 3K7, Canada)

  • Yichen Zhu

    (Department of Statistical and Actuarial Sciences, Western University, London, ON N6A 3K7, Canada)

Abstract

This paper investigates the optimal choices of financial derivatives to complete a financial market in the framework of stochastic volatility (SV) models. We first introduce an efficient and accurate simulation-based method applicable to generalized diffusion models to approximate the optimal derivatives-based portfolio strategy. We build upon a double optimization approach, i.e., expected utility maximization and risk exposure minimization, already proposed in the literature, demonstrating that strangle options are the best choices for market completion within equity options. They lead to lower investors’ risk exposure for a wide range of strikes compared to the lesser flexibility of calls, puts, and strangles. Furthermore, we explore the benefit of using volatility index derivatives and conclude that they could be more convenient substitutes when short-term maturity equity options are not available.

Suggested Citation

  • Matt Davison & Marcos Escobar-Anel & Yichen Zhu, 2024. "Optimal Market Completion through Financial Derivatives with Applications to Volatility Risk," JRFM, MDPI, vol. 17(10), pages 1-20, October.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:10:p:457-:d:1494361
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    References listed on IDEAS

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