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On a Solution of the Optimal Stopping Problem for Processes with Independent Increments

Author

Listed:
  • Alexander Novikov

    (Department of Mathematics, University of Technology Sydney)

  • Albert Shiryaev

    (Mathematical Institute, Moscow, Russia)

Abstract

We discuss a solution of the optimal stopping problem for the case when a reward function is a power function of a process with independent stationary increments (random walks or Levy processes) on an infinite time interval. It is shown that an optimal stopping time is the first crossing time through a level defined as the largest root of the Appell function associated with the maximum of the underlying process.

Suggested Citation

  • Alexander Novikov & Albert Shiryaev, 2006. "On a Solution of the Optimal Stopping Problem for Processes with Independent Increments," Research Paper Series 178, Quantitative Finance Research Centre, University of Technology, Sydney.
    • Handle: RePEc:uts:rpaper:178
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    File URL: https://www.uts.edu.au/sites/default/files/qfr-archive-02/QFR-rp178.pdf
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    References listed on IDEAS

    as
    1. Alexander Novikov & Albert Shiryaev, 2004. "On an Effective Solution of the Optimal Stopping Problem for Random Walks," Research Paper Series 131, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Ernesto Mordecki, 2002. "Optimal stopping and perpetual options for Lévy processes," Finance and Stochastics, Springer, vol. 6(4), pages 473-493.
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    Cited by:

    1. Mingsi Long & Hongzhong Zhang, 2017. "On the optimality of threshold type strategies in single and recursive optimal stopping under L\'evy models," Papers 1707.07797, arXiv.org, revised Aug 2018.
    2. Christensen, Sören & Salminen, Paavo & Ta, Bao Quoc, 2013. "Optimal stopping of strong Markov processes," Stochastic Processes and their Applications, Elsevier, vol. 123(3), pages 1138-1159.
    3. Boyarchenko, Svetlana & Levendorskii, Sergei, 2010. "Optimal stopping in Levy models, for non-monotone discontinuous payoffs," MPRA Paper 27999, University Library of Munich, Germany.
    4. Christensen, Sören, 2014. "On the solution of general impulse control problems using superharmonic functions," Stochastic Processes and their Applications, Elsevier, vol. 124(1), pages 709-729.
    5. Ming-Chi Chang & Yuan-Chung Sheu, 2013. "Free boundary problems and perpetual American strangles," Quantitative Finance, Taylor & Francis Journals, vol. 13(8), pages 1149-1155, July.
    6. Soren Christensen, 2011. "A method for pricing American options using semi-infinite linear programming," Papers 1103.4483, arXiv.org, revised Jun 2011.

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