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Robust static hedging of barrier options in stochastic volatility models

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  • J. Maruhn
  • E. Sachs

Abstract

Static hedge portfolios for barrier options are extremely sensitive with respect to changes of the volatility surface. In this paper we develop a semi-infinite programming formulation of the static super-replication problem in stochastic volatility models which allows to robustify the hedge against model parameter uncertainty in the sense of a worst case design. From a financial point of view this robustness guarantees the hedge performance for an infinite number of future volatility surface scenarios including volatility shocks and changes of the skew. After proving existence of such robust hedge portfolios and presenting an algorithm to numerically solve the underlying optimization problem, we apply the approach to a detailed example. Surprisingly, the optimal robust portfolios are only marginally more expensive than the barrier option itself. Copyright Springer-Verlag 2009

Suggested Citation

  • J. Maruhn & E. Sachs, 2009. "Robust static hedging of barrier options in stochastic volatility models," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 70(3), pages 405-433, December.
    • Handle: RePEc:spr:mathme:v:70:y:2009:i:3:p:405-433
    DOI: 10.1007/s00186-008-0273-2
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    References listed on IDEAS

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    1. Peter Carr & Katrina Ellis & Vishal Gupta, 1998. "Static Hedging of Exotic Options," Journal of Finance, American Finance Association, vol. 53(3), pages 1165-1190, June.
    2. Haydyn Brown & David Hobson & L. C. G. Rogers, 2001. "Robust Hedging of Barrier Options," Mathematical Finance, Wiley Blackwell, vol. 11(3), pages 285-314, July.
    3. Dupont, Dominique Y., 2001. "Hedging Barrier Options: Current Methods and Alternatives," Economics Series 103, Institute for Advanced Studies.
    4. Mark Broadie & Özgür Kaya, 2006. "Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes," Operations Research, INFORMS, vol. 54(2), pages 217-231, April.
    5. Heston, Steven L, 1993. "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options," Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 327-343.
    6. Rama Cont, 2006. "Model Uncertainty And Its Impact On The Pricing Of Derivative Instruments," Mathematical Finance, Wiley Blackwell, vol. 16(3), pages 519-547, July.
    7. Steve Allen & Otello Padovani, 2002. "Risk Management Using Quasi–static Hedging," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 31(2), pages 277-336, July.
    8. Rama Cont, 2006. "Model uncertainty and its impact on the pricing of derivative instruments," Post-Print halshs-00002695, HAL.
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    Cited by:

    1. Jang Ho Kim & Woo Chang Kim & Frank J. Fabozzi, 2018. "Recent advancements in robust optimization for investment management," Annals of Operations Research, Springer, vol. 266(1), pages 183-198, July.
    2. Jeonggyu Huh & Jaegi Jeon & Yong-Ki Ma, 2020. "Static Hedges of Barrier Options Under Fast Mean-Reverting Stochastic Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 185-210, January.
    3. Johannes Siven & Rolf Poulsen, 2009. "Auto-static for the people: risk-minimizing hedges of barrier options," Review of Derivatives Research, Springer, vol. 12(3), pages 193-211, October.
    4. Hansjörg Albrecher & Philipp Mayer, 2010. "Semi-Static Hedging Strategies For Exotic Options," World Scientific Book Chapters, in: Rüdiger Kiesel & Matthias Scherer & Rudi Zagst (ed.), Alternative Investments And Strategies, chapter 14, pages 345-373, World Scientific Publishing Co. Pte. Ltd..

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