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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

 
 

 

Convergence of reward functionals in a reselling model for a European option


Author: M. S. Pupashenko
Translated by: S. Kvasko
Journal: Theor. Probability and Math. Statist. 83 (2011), 135-148
MSC (2010): Primary 60J05, 60H10; Secondary 91Gxx, 91B70
DOI: https://doi.org/10.1090/S0094-9000-2012-00847-8
Published electronically: February 2, 2012
MathSciNet review: 2768854
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Abstract | References | Similar Articles | Additional Information

Abstract: We consider an optimal reselling problem for a European option. A modification of the Cox–Ingersoll–Ross process is used to model the implied volatility. We construct a two-dimensional binomial-trinomial exponential approximation instead of the discrete approximation proposed by Pupashenko and Kukush (2008) in Theory Stoch. Process. 14(30), no. 3–4, 114–128. We use the results concerning the convergence of reward functionals for exponential price processes with independent log-increments obtained by Lundgren et al. (2008) in J. Numer. Appl. Math. 1(96), 90–113. We proved that there is no arbitrage strategy in the proposed discrete model.


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References
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Additional Information

M. S. Pupashenko
Affiliation: Department of Probability Theory, Statistics, and Actuarial Mathematics, Faculty for Mechanics and Mathematics, National Taras Shevchenko University, Academician Glushkov Avenue 2, Kiev 03127, Ukraine
Email: myhailo.pupashenko@gmail.com

Keywords: European option, American option, reselling problem, reward, convergence, optimal stopping time, discrete approximation, Markov process, binomial-trinomial approximation, Cox–Ingersoll–Ross process
Received by editor(s): April 22, 2010
Published electronically: February 2, 2012
Article copyright: © Copyright 2012 American Mathematical Society