Designing an Optimal Resource Allocation Model in Iran's Banking System

The aim of this paper is to model allocation of resources based on a stochastic dynamic optimization model in the banking system of Iran. To this end, using the bank level data by the Euler-Marviam simulation method, simulation of resource allocation model and optimal allocation time Resources were obtained numerically over the course of the 24-month period. The results showed that important variables such as expected rate of profit, profit risk and fluctuation of each type of facility have a significant impact on their share. Also, the findings show that whatever the expected profit of the facility increases and the risk and fluctuation of it decreases, it will account for more share of the various types of facilities. Based on the results, the specialized entry of banks to participatory facilities and increase their share is proposed to increase profitability.