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Theory of Probability and Mathematical Statistics

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Threshold structure of optimal stopping strategies for American type option. I


Authors: H. Jönsson, A. G. Kukush and D. S. Silvestrov
Journal: Theor. Probability and Math. Statist. 71 (2005), 93-103
MSC (2000): Primary 91B28, 62P05; Secondary 60J25, 60J20
DOI: https://doi.org/10.1090/S0094-9000-06-00650-8
Published electronically: January 4, 2006
MathSciNet review: 2144323
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Abstract | References | Similar Articles | Additional Information

Abstract: The paper presents results of theoretical studies of optimal stopping domains of American type options in discrete time. Sufficient conditions on the payoff functions and the price process for the optimal stopping domains to have one-threshold structure are given. We consider monotone, convex and inhomogeneous-in-time payoff functions. The underlying asset’s price is modelled by an inhomogeneous discrete time Markov process.


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References
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Additional Information

H. Jönsson
Affiliation: Mälardalen University, Box 883, SE-721 23 Västerås, Sweden
Email: henrik.jonsson@mdh.se

A. G. Kukush
Affiliation: Kyiv University, 01033 Kiev, Ukraine
Email: alexander_kukush@univ.kiev.ua

D. S. Silvestrov
Affiliation: Mälardalen University, Box 883, SE-721 23 Västerås, Sweden
Email: dmitrii.silvestrov@mdh.se

Keywords: Markov process, discrete time, American type option, convex payoff function, optimal stopping
Received by editor(s): May 24, 2004
Published electronically: January 4, 2006
Additional Notes: Supported in part by the Visby programme (funded by the Swedish Institute), and by grants from the Knowledge Foundation and the Royal Swedish Academy of Science.
Article copyright: © Copyright 2006 American Mathematical Society