Some results on optimal stopping under phase-type distributed implementation delay




Jukka Lempa

PublisherSPRINGER HEIDELBERG

2020

Mathematical Methods of Operations Research

MATHEMATICAL METHODS OF OPERATIONS RESEARCH

MATH METHOD OPER RES

91

3

559

583

25

1432-2994

1432-5217

DOIhttps://doi.org/10.1007/s00186-019-00694-6

https://research.utu.fi/converis/portal/detail/Publication/48730354



We study optimal stopping of strong Markov processes under random implementation delay. By random implementation delay we mean the following: the payoff is not realised immediately when the process is stopped but rather after a random waiting period. The distribution of the random waiting period is assumed to be phase-type. We prove first a general result on the solvability of the problem. Then we study the case of Coxian distribution both in general and with scalar diffusion dynamics in more detail. The study is concluded with two explicit examples.

Last updated on 2024-26-11 at 22:54