Investigating the suitability of Islamic capital market with the behavioral reality of Investors

Given the limited financial resources for the implementation of micro and macro projects، as well as the available liquidity that can be the source of adverse economic effects، the accumulation of public capital and the injection of these resources into the real sector of the economy can be very helpful. Therefore، in this research، in order to make the process of providing resources more efficient and taking in to account the capital market capacities as a platform for financing the production and consolidation of public capital، the investors’ behavior and the structure of the capital market was analyzed according to principles,regulations and rules; Because understanding the behavior of brokers can help policymakers and executives to improve or reform the existing structure. Accordingly، by explaining the reality of economic action of individuals from the perspective of behavioral economics، an attempt has been made to examine the appropriate structural model. Considering behavioral biases as an index of deviation from the rational man subject of conventional economics، the relationship between the five biases of eventism، loss avoidance، overconfidence، familiarity and self-documentation with the decisions of capital market brokers was examined through structural equation method and lisrel software.The results suggest a significant and positive relationship between behavioral biases as independent variables and investors' behavior as a dependent variable and indicate that brokers are not necessarily rational under the influence of these biases. In the second part of the study، by recognizing the behavior of the broker and considering the socio-economic actions of the Iranian people influenced by Islamic teachings on one hand، and the rich Islamic economic and financial literature on the other hand, Islamic capital market as a structure appropriate to the economic actions of Iranians based on a panel of experts and data-based theorizing method has been studied and proposed.