Prioritizing and explaining cause and effect relationships of the most important behavioral biases of retail investors in the exchange market: A fuzzy cognitive mapping approach
محورهای موضوعی : Financeabbas abbasi 1 , fatemeh rastgoo 2 , ali mohammadi 3 , habib allah Ranaei Kordshouli 4
1 - Department of Management, Shiraz University, Shiraz, Iran
2 - Department of Management, Shiraz University, Shiraz, Iran
3 - Department of Management, shiraz University, shiraz , Iran
4 - Department of Management, Shiraz University, Shiraz, Iran
کلید واژه: Behavioral sciences, behavioral biases, retail investors, Iranian Stock Exchange, Fuzzy Cognitive Mapping,
چکیده مقاله :
The first and most important goal of investors in the stock market is to grow their investment portfolio. Meanwhile, behavioral factors emerge as one of the most important factors that prevent optimal decision-making. Many studies have identified and introduced these factors. However, prioritizing these factors and identifying causal relationships between these factors has been neglected.
Therefore, this study was conducted to prioritize and explain causal relationships between the most important behavioral biases of retail investors in the Tehran Stock Exchange.
Given the qualitative and quantitative nature of the data used in this study, a Fuzzy Cognitive Mapping Approach was used. Therefore, 30 behavioral biases were discussed and examined by 15 experts, and the causal relationships between them were explained and prioritized. Accordingly, the distribution effect biases, the Salience data Bias, and the Loss Aversion Bias were introduced as the most important, and the forgiveness biases, Evolutionary Bias, and Money Illusion Bias were introduced as the least important behavioral biases. Also, behavioral biases were grouped into four categories, which in order of importance are: perceptual, experiential/informational, personality, and emotional.
The first and most important goal of investors in the stock market is to grow their investment portfolio. Meanwhile, behavioral factors emerge as one of the most important factors that prevent optimal decision-making. Many studies have identified and introduced these factors. However, prioritizing these factors and identifying causal relationships between these factors has been neglected.
Therefore, this study was conducted to prioritize and explain causal relationships between the most important behavioral biases of retail investors in the Tehran Stock Exchange.
Given the qualitative and quantitative nature of the data used in this study, a Fuzzy Cognitive Mapping Approach was used. Therefore, 30 behavioral biases were discussed and examined by 15 experts, and the causal relationships between them were explained and prioritized. Accordingly, the distribution effect biases, the Salience data Bias, and the Loss Aversion Bias were introduced as the most important, and the forgiveness biases, Evolutionary Bias, and Money Illusion Bias were introduced as the least important behavioral biases. Also, behavioral biases were grouped into four categories, which in order of importance are: perceptual, experiential/informational, personality, and emotional.
Akhavan Anvari, M., Mehregan, M., Zandieh, M., & Kazemi, A. (2017). Modeling factors affecting natural gas consumption in the household sector using fuzzy cognitive mapping (FCM). Industrial Management, 9(3), 515-538.
Axelord, R. (1976). Structure of Decision: The Cognitive Maps of Political Elites. Princeton Legacy Library. Princeton. NJ.
Azar, A., & Mostafayi, Kh. (2012). Cognitive mapping as a new method in optimizing budgeting decisions, Management Research in Iran, 16(3), 83.
Casco, B. (2010) Fuzzy Thinking, translated by Ghasimi., Ppprmomtaz, A., Maghsoodpour, A., & Ghaffari., A., Tehran: Khajeh Nasir al-Din Tusi University.
Dadras, K., Toloie, A., & Radfar, R. (2018). Role of Behavioral Finance In Understanding Individual Investor's Behavior (A Review of Empirical Evidences from Tehran Stock Exchange). Journal of Investment Knowledge, 7 (28), 83-102. Hemmti , H., & Abbasifar, Abdorrahman. (2015). Effect of Stock Market Volatility on Banks Performance Accepted in Tehran Stock Exchange, Journal Of Economics and Business Research, 6(10), 13-26.
Jafari Eskandari,M., Farhang, M. (2015). Designing a fuzzy cognitive map model of factors affecting cost-time-quality in oil and gas projects, case study: Refinery 15 of South Pars Gas Complex Company, Monthly Journal of Oil and Gas Exploration and Production, 125, 30-37.
Jamshidi, N., & Ghalibaf asl, H. (2019). Dynamics of the Behavior of Individual Investors in Tehran Stock Exchange. Financial Management Perspective, 9(25), 101-120.
Mostafaei Dolatabad, Kh., Azar, A., & Moqbel Ba'arz, A. (2018). Identifying and analyzing operational risks using fuzzy cognitive mapping. Asset and Financing Management, 6(4 (23)), 1-18.
Poczeta, K., Kubuś, Ł., Yastrebov, A., & Papageorgiou, E. I. (2018). Application of Fuzzy Cognitive Maps with Evolutionary Learning Algorithm to Model Decision Support Systems Based on Real-Life and Historical Data. Recent Advances in Computational Optimization. 153- 175.
Rastgoo, F., Abbasi, A., Mohammadi, A., & Ranaeiy, H. (2025). Identifying the Most Important Behavioral Biases of Individual Investors in Tehran Stock Exchange: A meta-Synthesis approach, Under revision.
Rostami Norouzabad, M., Sedaghat, P., & Habibi, F. (2013). Investigating the Factors Affecting Investors' Behavior in the Reality Investment Income (Case Study of Investors of Tehran Stock Exchange). Financial Management Perspective, 5 (10), 69-94.
Saeedi, A., Farahanian, M.,J. (2015). Fundamentals of Behavioral Economics and Finance .Journal of Securities Exchange, 4 (16), 175-198.
Shokohiyar, S., Tolaei, R ., and Fatemi, LS. (2017). Prioritizing the Components of the Information System for Evaluating Jihadi Management Performance in the Organization, Basij Strategic Studies, 74, 91-118.
