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Dynamic Hedging Under Jump Diffusion with Transaction Costs

Author

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  • J. S. Kennedy

    (Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 and Morgan Stanley, New York, New York 10036)

  • P. A. Forsyth

    (David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1)

  • K. R. Vetzal

    (School of Accounting and Finance, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1)

Abstract

If the price of an asset follows a jump diffusion process, the market is in general incomplete. In this case, hedging a contingent claim written on the asset is not a trivial matter, and other instruments besides the underlying must be used to hedge in order to provide adequate protection against jump risk. We devise a dynamic hedging strategy that uses a hedge portfolio consisting of the underlying asset and liquidly traded options, where transaction costs are assumed present due to a relative bid-ask spread. At each rebalance time, the hedge weights are chosen to simultaneously (i) eliminate the instantaneous diffusion risk by imposing delta neutrality, and (ii) minimize an objective that is a linear combination of a jump risk and transaction cost penalty function. Because reducing the jump risk is a competing goal vis-à-vis controlling for transaction cost, the respective components in the objective must be appropriately weighted. Hedging simulations of this procedure are carried out, and our results indicate that the proposed dynamic hedging strategy provides sufficient protection against the diffusion and jump risk while not incurring large transaction costs.

Suggested Citation

  • J. S. Kennedy & P. A. Forsyth & K. R. Vetzal, 2009. "Dynamic Hedging Under Jump Diffusion with Transaction Costs," Operations Research, INFORMS, vol. 57(3), pages 541-559, June.
  • Handle: RePEc:inm:oropre:v:57:y:2009:i:3:p:541-559
    DOI: 10.1287/opre.1080.0598
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    References listed on IDEAS

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    3. Masaaki Kijima & Christopher Ting, 2019. "Market Price of Trading Liquidity Risk and Market Depth," Papers 1912.04565, arXiv.org.
    4. Vikranth Lokeshwar Dhandapani & Shashi Jain, 2023. "Data-driven Approach for Static Hedging of Exchange Traded Options," Papers 2302.00728, arXiv.org, revised Jan 2024.
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    13. Balter, Anne G. & Pelsser, Antoon, 2020. "Pricing and hedging in incomplete markets with model uncertainty," European Journal of Operational Research, Elsevier, vol. 282(3), pages 911-925.
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