Optimal Investment Decision Making in Accepted in Tehran Stock Exchange Banks based on Dynamic Programming Model

hajihassaniABSTRACT: Aim of this study is to formulate a dynamic programming mathematical model for the investment decision with incorporating this uncertainty in a probabilistic manner .Multistage decision problems are numerically challenging. Typically the work to solve such problems is an exponential function both with respect to the number of stages and the number of decision parameters. The problems have been researched extensively and a wide variety of methods to solve them have been proposed. Inevitably all methods are limited in the size of problem they can solve. Proper investment decision making is key to success for every investor in their efforts to keep pace with the competitive business environment. Mitigation of exposure to risk plays a vital role, since investors are now directly exposed to the uncertain decision environment.Policy iteration algorithm of the dynamic programming is adopted to solve the model. Our simulation result shows that the algorithm is able to help us in taking optimum investment decision. In this research used dynamic programming model and proposed optimal investment for all eleven Iranian banks that accepted in Tehran Stock Exchange since(2011 to 2012) and our investment is 0 to 50 million rials .results shows that Ansar bank is best selection.