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Partial Hedging for Options Based on Extreme Values and Passage Times

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Part of the book series: Advances in Computational Management Science ((AICM,volume 4))

Abstract

A hedger of a contingent claim may decide to partially replicate on some states of nature and not on the others: A partial hedge initially costs less than a perfect hedge. However, a partial hedge may lead to a default position. It is of interest in that context to estimate the gain and the default risk. Some partial hedging strategies based on the final primitive asset price, its maximum over the trading period, and the time to maximum, are analyzed. Closed-form solutions are derived in the Black and Scholes [4] model and efficient Monte Carlo estimates are computed using a stochastic volatility model. The results show how the gain and the default risk inversely change depending on the hedging event.

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References

  1. A.N. Avramidis and J.R. Wilson, 1993, A Splitting Scheme for Control Variates, Operations Research Letters, 14, 187–198.

    Article  Google Scholar 

  2. A.N. Avramidis and J.R. Wilson, 1996, Integrated Variance Reduction Strategies for Simulation, Operations Research, 44, 327–346.

    Article  Google Scholar 

  3. D.R. Beaglehole, P.H. Dybvig, and G. Zhou, 1997, Going to Extremes: Correcting Simulation Bias in Exotic Option Valuation, Financial Analysts Journal, 62–68.

    Google Scholar 

  4. F. Black and M. Scholes, 1973, The Pricing of Options and Corporate Liabilities, Journal of Political Economy, 81, 637–654.

    Article  Google Scholar 

  5. P.P. Boyle, M. Broadie, and P. Glasserman, 1997, Monte Carlo Methods for Security Pricing, Journal of Economic Dynamics and Control, 21, 1267–1321.

    Article  Google Scholar 

  6. P. Bratley, B.L. Fox, and L.E. Schrage, 1987, A Guide to Simulation, Springer-Verlag.

    Book  Google Scholar 

  7. L. Clewlow and A. Carverhill, 1994, On the Simulation of Contingent Claims, The Journal of Derivatives, Winter, 66–74.

    Google Scholar 

  8. A. Conze and Viswanathan, 1991, Path Dependent Options: The Case of Lookback Options, The Journal of Finance, XLVI, 1893–1906.

    Article  Google Scholar 

  9. J. Cvitanic, H. Pham, and N. Touzi, 1997, Super-Replication in Stochastic Volatility Models under Portfolio Constraints, Working Paper, Columbia University, CREST, Université Marne-la-Vallée, and Université Paris Dauphine.

    Google Scholar 

  10. J. Detemple and C.J. Osakwe, 1997, The Valuation of Volatility Options, Working Paper, McGill University.

    Google Scholar 

  11. D. Duffie and P. Glynn, 1995, Efficient Monte Carlo Simulation of Security Prices, The Annals of Applied Probability, 5, 897–905.

    Article  Google Scholar 

  12. H. Föllmer, 1995, Talk at the Isaac Newton Institute for the Mathematical Sciences, Cambridge University.

    Google Scholar 

  13. M.B. Goldman, H.B. Sosin, and M.A. Gatto, 1979, Path Dependent Options: “Buy at the Low, Sell at the High”, The Journal of Finance, XXXIV, 1111–1127.

    Google Scholar 

  14. J.M. Harrison and D.M. Kreps, 1979, Martingales and Arbitrage in Multiperiod Securities Markets, Journal of Economic Theory, 20, 381–408.

    Article  Google Scholar 

  15. J.M. Harrison and S. Pliska, 1981, Martingales and Stochastic Integrals in the Theory of Continuous Trading, Stochastic Processes and their Applications, 11, 215–260.

    Article  Google Scholar 

  16. J. Hull and A. White, 1987, The Pricing of Options on Assets with Stochastic Volatilities, The Journal of Finance, XLII, 281–299.

    Article  Google Scholar 

  17. H. Johnson and D. Shanno, 1987, Option Pricing when the Variance is Changing, Journal of Financial and Quantitative Analysis, 22, 143–151.

    Article  Google Scholar 

  18. I. Karatzas, 1996, Lectures on the Mathematics of Finance, Centre de Recherches Mathématiques, Université de Montréal.

    Google Scholar 

  19. I. Karatzas and S.E. Shreve, 1991, Brownian Motion and Stochastic Calculus, Second Edition, Springer-Verlag.

    Google Scholar 

  20. S.S. Lavenberg and P.D. Welch, 1981, A Perspective on the Use of Control Variables to Increase the Efficiency of Monte Carlo Simulations, Management Science, 27, 322–335.

    Article  Google Scholar 

  21. P. L’Ecuyer, 1994, Efficient Improvement via Variance Reduction, Proceedings of the Winter Simulation Conference, IEEE Press, 122–132.

    Google Scholar 

  22. B.L. Nelson, 1990, Control Variate Remedies, Operations Research, 38, 974–992.

    Article  Google Scholar 

  23. L.O. Scott, 1987, Option Pricing when the Variance Changes Randomly: Theory, Estimation, and an Application, Journal of Financial and Quantitative Analysis, 22, 419–438.

    Article  Google Scholar 

  24. J.B. Wiggins, 1987, Option Values under Stochastic Volatility, Theory and Empirical Estimates, Journal of Financial Economics, 19, 351–372.

    Article  Google Scholar 

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© 2002 Springer Science+Business Media New York

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Ben Ameur, H., Breton, M., L’Ecuyer, P. (2002). Partial Hedging for Options Based on Extreme Values and Passage Times. In: Zaccour, G. (eds) Decision & Control in Management Science. Advances in Computational Management Science, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3561-1_10

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  • DOI: https://doi.org/10.1007/978-1-4757-3561-1_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4995-0

  • Online ISBN: 978-1-4757-3561-1

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