Exponenciální řízení homogenních markovských procesů

Title: Exponential control of homogeneous Markov processes Author: Pavol Stanek Department: Department of Probability and Mathematical Statistics, MFF UK Supervisor: Mgr. Peter Dostál Ph.D., Department of Probability and Mathematical Statistics, MFF UK Abstract: This master thesis concerns exponential control of Markov decision chains. An iterative alghorithm for finding a control, that maximizes a long term growth rate of expected utility is developed. The utility is measured by exponential utility function. The algorithm is derived for both discrete time and continuous time chain. Subsequently, the results are applied on the problem of optimally managing port- folio with proportional transaction costs. The dynamics of the investor's position is derived and the consequent process is approximated by Markov chain. Using the iterative alghorithm, the optimal trading strategy is numerically found. Keywords: exponential control, Markov chain, portfolio optimization, proportional transaction costs