The Role of Biased Behavior based on Economic Behavior and Financial Intelligence on the Process of Investment Decisions

Document Type : Original Article


1 Student of Accounting, Department of Accounting, Shahroud Unit, Islamic Azad University, Semnan, Iran

2 Associate Professor of Accounting, Department of Accounting, Semnan Branch, Islamic Azad University, Semnan, Iran (Corresponding Auhtor)

3 Assistant Professor, Department of Accounting, Bandar Gaz Branch, Islamic Azad University, Bandar Gaz, Iran


Today, investors consider a wide range of factors for choosing an investment. Effective factors on investor decisions are wider than ever before and the results of these decisions will have an impact on the lives of people. In this research, the role of the role Subjective behaviors based on economic behavior and financial intelligence have been investigated on the investment decision process. In this regard, the effect of indicators of behavioral behavior based on economic behavior and financial intelligence indicators on investor decisions was investigated. To collect information from Two library methods and a researcher-made questionnaire were used D. The surveyor developed a questionnaire and distributed it among 300 employees and investment companies in the Tehran Stock Exchange in the second half of 1997. Data analysis was performed using combining methods of genetic algorithm and neuro-fuzzy inductive inference
The results indicate that the more biased behaviors based on economic behavior are more controlled and financial intelligence will be strengthened, better investment decisions will be made. Among the subjective indicators based on economic behavior, the liquidity stagnation with a coefficient of 0.843, the highest impact Negative and among the financial intelligence indicators, the analysis of changes in the index of total market efficiency with a coefficient of 0.863 had the greatest impact on investment decisions. Ultimately, the investor can achieve the desired result by knowing the investment paths (0.743).


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