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Pricing the American Put Option: A Detailed Convergence Analysis for Binomial Models

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  • Leisen, Dietmar
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    Abstract

    Viewing binomial models as a discrete approximation of the respective continuous models, the interest focuses on the notions of convergence and especially "fast" convergence of prices. Though many authors were proposing new models, none of them could successfully explain better performance for their models, since they all lacked a measure of convergence speed. In the case of the European call option Leisen and Reimer[96] examined convergence speed by the order of convergence in a rigorous framework. However the analysis could not be transformed to the case of American put options. For the model of Cox, Ross and Rubinstein[79], Lamberton[95] addressed the same problem. For American put options he derived that the error is bounded by suitable sequences with order of convergence 1/2 from above and by 2/3 from below. However, the simulation results of Broadie and Detemple[96] suggest order one. One aim of this paper is to improve this result and extend it to different lattice approaches. We establish the result that the model of Cox, Ross and Rubinstein[79] converges with order one. From a general theorem follows for the models of Jarrow and Rudd[83] and Tian[93] that the error is bounded by order one from above and 1/2 from below. Thus none of these three models performs better in comparison to the other. In a further step an error representation is derived using the concept of order of convergence. This allows an error analysis of extrapolation. Moreover we study the Control Variate technique introduced by Hull and White[88]. Since the investigation reveals the need for smooth converging models in order to get smaller initial errors, such a model is constructed. The different approaches are then tested: simulations exhibit up to 100 times smaller initial errors.

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    File URL: http://www.wiwi.uni-bonn.de/bgsepapers/bonsfb/bonsfb366.pdf
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    Bibliographic Info

    Paper provided by University of Bonn, Germany in its series Discussion Paper Serie B with number 366.

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    Length: pages
    Date of creation: Feb 1996
    Date of revision: Jul 1996
    Handle: RePEc:bon:bonsfb:366

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    Postal: Bonn Graduate School of Economics, University of Bonn, Adenauerallee 24 - 26, 53113 Bonn, Germany
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    Web page: http://www.bgse.uni-bonn.de

    Related research

    Keywords: binomial model; option valuation; order of convergence; smoothing; extrapolation; Control Variate technique;

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    References

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    1. Harrison, J. Michael & Pliska, Stanley R., 1981. "Martingales and stochastic integrals in the theory of continuous trading," Stochastic Processes and their Applications, Elsevier, Elsevier, vol. 11(3), pages 215-260, August.
    2. Hull, John & White, Alan, 1988. "The Use of the Control Variate Technique in Option Pricing," Journal of Financial and Quantitative Analysis, Cambridge University Press, Cambridge University Press, vol. 23(03), pages 237-251, September.
    3. Brennan, Michael J & Schwartz, Eduardo S, 1977. "The Valuation of American Put Options," Journal of Finance, American Finance Association, American Finance Association, vol. 32(2), pages 449-62, May.
    4. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 81(3), pages 637-54, May-June.
    5. Peter Carr & Robert Jarrow & Ravi Myneni, 1992. "Alternative Characterizations Of American Put Options," Mathematical Finance, Wiley Blackwell, Wiley Blackwell, vol. 2(2), pages 87-106.
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    Cited by:
    1. Leisen, Dietmar, 1997. "The Random-Time Binomial Model," Discussion Paper Serie B, University of Bonn, Germany 399, University of Bonn, Germany.

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