The right time to sell a stock whose price is driven by Markovian noise
Abstract
We consider the problem of finding the optimal time to sell a stock, subject to a fixed sales cost and an exponential discounting rate \rho. We assume that the price of the stock fluctuates according to the equation dY_t=Y_t(\mu dt+\sigma\xi(t) dt), where (\xi(t)) is an alternating Markov renewal process with values in {\pm1}, with an exponential renewal time. We determine the critical value of \rho under which the value function is finite. We examine the validity of the ``principle of smooth fit'' and use this to give a complete and essentially explicit solution to the problem, which exhibits a surprisingly rich structure. The corresponding result when the stock price evolves according to the Black and Scholes model is obtained as a limit case.
Keywords
Cite
@article{arxiv.math/0503580,
title = {The right time to sell a stock whose price is driven by Markovian noise},
author = {Robert C. Dalang and M. -O. Hongler},
journal= {arXiv preprint arXiv:math/0503580},
year = {2008}
}
Comments
Published at http://dx.doi.org/10.1214/105051604000000747 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)