Modeling the prediction of the Financial Behavior in Iranian Stock Market Investors with an Interpretive Structural Approach(مقاله علمی وزارت علوم)
حوزه های تخصصی:
Nowadays, predicting the financial behavior of investors plays a crucial role in decision-making and the financial policy-making process. This study is aimed at providing a paradigm to predict the financial behavior of investors in Iran’s stock market. 24 experts were interviewed to identify the variables, and 24 variables were identified. The interpretive structural paradigming was carried out using a self-interaction matrix based on the experts’ opinions. The MICMAC analysis has been used to identify the types of the variables. As findings of the study, a five-level paradigm was determined, in which environmental factors and the background of financial behavior on the fifth level were the most influential variables and also arbitrage, bias, and the perceptual mistake were the most impressible variables of the paradigm on the first level. MICMAC analysis of this study suggested that the variable of environmental factors had low dependence and high efficacy. Furthermore, psychological projection, perceptual mistake, arbitrage, and bias are dependent variables with high dependence and low efficacy. Other variables are mediator variables with high dependence and effectiveness.