نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
Knowing the behavior of investors in financial markets is one of the most important topics in finance. This research was conducted with the aim of providing a conceptual model for predicting the financial behavior of investors in the Iranian stock market with the foundational data theory method. To identify the variables, interviews with 24 experts on the subject of research in the country were used and 24 categories were identified, which are: environmental factors, past behaviors, arbitrage, bias, perception error, projection, self-control, optimism, deliberative thinking, greed, financial literacy. financial education, objective financial knowledge, self-esteem, subjective financial knowledge, personal financial management, financial self-efficacy, economic status of society, cash flow, risk management, savings management, investment knowledge, financial experiences, personal factors. Then these categories were shown in the form of a conceptual model based on the six categories of foundation data theory.
کلیدواژهها English