Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4623244 | Journal of Mathematical Analysis and Applications | 2006 | 16 Pages |
Abstract
This paper is concerned with a finite-horizon optimal selling rule. A set of geometric Brownian motions coupled by a finite-state Markov chain is used to characterize stock price movements. Given a fixed transaction fee, the optimal selling rule can be obtained by solving an optimal stopping problem. The corresponding value function is shown to be the unique viscosity solution to the associated HJB equations. Numerical solutions to these equations and their convergence are obtained. A numerical example is presented to illustrate the results.
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