Abstract
We consider a stochastic optimization problem of maximizing the expected utility from terminal wealth in an illiquid market. A discrete time model is constructed with few additional state variables. The dynamic programming approach is then developed and used for numerical studies. No-arbitrage conditions were also discussed.
Acknowledgements
This research was partly supported by the European Research Council under the grant 228053-FiRM, Swiss Finance Institute and by the ETH Foundation.