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Volatility options: Hedging effectiveness, pricing, and model error

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  • Dimitris Psychoyios
  • George Skiadopoulos

Abstract

Motivated by the growing literature on volatility options and their imminent introduction in major exchanges, this article addresses two issues. First, the question of whether volatility options are superior to standard options in terms of hedging volatility risk is examined. Second, the comparative pricing and hedging performance of various volatility option pricing models in the presence of model error is investigated. Monte Carlo simulations within a stochastic volatility setup are employed to address these questions. Alternative dynamic hedging schemes are compared, and various option‐pricing models are considered. It is found that volatility options are not better hedging instruments than plain‐vanilla options. Furthermore, the most naïve volatility option‐pricing model can be reliably used for pricing and hedging purposes. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:1–31, 2006

Suggested Citation

  • Dimitris Psychoyios & George Skiadopoulos, 2006. "Volatility options: Hedging effectiveness, pricing, and model error," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(1), pages 1-31, January.
    • Handle: RePEc:wly:jfutmk:v:26:y:2006:i:1:p:1-31
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    Cited by:

    1. Yoo, Eun Gyu & Yoon, Sun-Joong, 2020. "CBOE VIX and Jump-GARCH option pricing models," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 839-859.
    2. Fabozzi, Frank J. & Paletta, Tommaso & Stanescu, Silvia & Tunaru, Radu, 2016. "An improved method for pricing and hedging long dated American options," European Journal of Operational Research, Elsevier, vol. 254(2), pages 656-666.
    3. Shashank Bansal & Mohul Mukhopadhyay & Shipra Maurya, 2023. "Strategic drivers for sustainable implementation of carbon trading in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4411-4435, May.
    4. Oh, Dong Hwan & Park, Yang-Ho, 2023. "GARCH option pricing with volatility derivatives," Journal of Banking & Finance, Elsevier, vol. 146(C).
    5. Yunbi An & Wulin Suo, 2009. "An Empirical Comparison of Option‐Pricing Models in Hedging Exotic Options," Financial Management, Financial Management Association International, vol. 38(4), pages 889-914, December.
    6. Piotr Pluciennik, 2010. "Forecasting Financial Processes by Using Diffusion Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 10, pages 51-60.
    7. Psaradellis, Ioannis & Sermpinis, Georgios, 2016. "Modelling and trading the U.S. implied volatility indices. Evidence from the VIX, VXN and VXD indices," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1268-1283.
    8. Ying Wang & Hoi Ying Wong, 2017. "VIX Forecast Under Different Volatility Specifications," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(2), pages 131-148, June.
    9. Lin, Yueh-Neng & Chang, Chien-Hung, 2010. "Consistent modeling of S&P 500 and VIX derivatives," Journal of Economic Dynamics and Control, Elsevier, vol. 34(11), pages 2302-2319, November.
    10. Simon Lalancette & Jean†Guy Simonato, 2017. "The Role of the Conditional Skewness and Kurtosis in VIX Index Valuation," European Financial Management, European Financial Management Association, vol. 23(2), pages 325-354, March.
    11. Wang, Chou-Wen & Wu, Chin-Wen & Tzang, Shyh-Weir, 2012. "Implementing option pricing models when asset returns follow an autoregressive moving average process," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 8-25.
    12. Maciej Augustyniak & Mathieu Boudreault, 2017. "Mitigating Interest Rate Risk in Variable Annuities: An Analysis of Hedging Effectiveness under Model Risk," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(4), pages 502-525, October.
    13. Ma, Jingtang & Li, Wenyuan & Han, Xu, 2015. "Stochastic lattice models for valuation of volatility options," Economic Modelling, Elsevier, vol. 47(C), pages 93-104.
    14. Lin, Yueh-Neng & Lin, Anchor Y., 2016. "Using VIX futures to hedge forward implied volatility risk," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 88-106.
    15. Claußen, Arndt & Rösch, Daniel & Schmelzle, Martin, 2019. "Hedging parameter risk," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 111-121.
    16. Huang, Hong-Gia & Tsai, Wei-Che & Weng, Pei-Shih & Yang, J. Jimmy, 2023. "Intraday momentum in the VIX futures market," Journal of Banking & Finance, Elsevier, vol. 148(C).

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