Investigating the Relationship between Investors' Tendencies in the Insurance Industry with Emphasis on the Psychological Model

Hemati, Yaghoub; Khademi Garashi, Mahdi; Daghigh Asl, Alireza

doi:10.22034/jvcbm.2025.501057.1486

Investigating the Relationship between Investors' Tendencies in the Insurance Industry with Emphasis on the Psychological Model

Document Type : Original Article (Quantified)

Authors

yaghoub hemati ¹

mahdi khademi garashi ²

alireza daghigh asl ³

¹ Department of Management, Faculty of Economics and Management, Tehran Research Sciences Branch, Islamic Azad University, Tehran, Iran

² Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

³ Department of Economics and Accounting, Faculty of Management and Accounting, Central Tehran Branch, Islamic Azad University, Tehran, Iran

https://doi.org/10.22034/jvcbm.2025.501057.1486

Abstract

Abstract
The aim of this research is to investigate the relationship between investors’ tendencies in the insurance industry with emphasis on the psychological model. The present research is applicable in terms of purpose, and descriptive-survey in terms of nature. The statistical population consists of 140 investors and capital market activists selected by random sampling method. A questionnaire taken from the qualitative section was used to collect research data. Data analysis was carried out by SPSS and Lisrel statistical software. Based on the findings of the qualitative section, four dimensions of perceptual factors, economic factors, emotional factors, and control factors were obtained. Therefore, the results showed that after reviewing previous studies and interviewing experts, the variables and influential factors in this study include perceptual factors, economic factors, emotional factors, and control factors. Based on the results of the structural equation testing and the obtained statistics, it can be seen that the coefficients of all factors have a significant effect on the final model and the effect of all factors on the structural-process pattern of investor preferences in the insurance industry is confirmed with an emphasis on psychological factors.
Introduction
The impact of the insurance industry on the macroeconomics in countries is undeniable. One of the grounds that must be provided for economic transformation and development and to lay the groundwork for people's activities and to entrust people's work to themselves is certainly security; judicial, social, legal, economic security, etc. There is no doubt that the insurance industry can provide the most important security, namely economic security; and therefore provide a suitable platform for people's economic activities (Rahnemae Roudpeshti et al., 2014). By paving the way for investment, reducing investment risk, and participating in investment from technical reserves, insurance increases productivity in other economic sectors, and on the other hand, the growth and development of other economic sectors also provides a reason to strengthen and develop the insurance industry. The results of research conducted in the field of financing based on the behavioral approach indicate that investors may be irrational; as a result, the cognitive bias or psychological factors of investors can affect their decisions. Therefore, stock price volatility depends not only on the intrinsic value shown by accounting information, but also on the irrational behavior of investors, which can be measured by investor preferences (Mitcell et al., 2020).
People analyze many factors to invest in insurance instruments; in other words, even before earning money, investors develop different strategies in their minds for where to invest their money and ultimately choose an option that, according to their mindset, benefits them in every way (Cici, 2012). Studies of human behavioral patterns show that they contradict the underlying assumptions of the rational economic agent theory and the prevailing efficient market hypothesis. These human behavioral patterns are not the result of extreme human ignorance, but rather reflect the nature of human intelligence and its limitations and strengths. Investors strive to do the right thing, but they have limited abilities and certain natural behavioral states that they make decisions on (Bloomfield, 2017). Psychological factors can affect investor decisions and ultimately the performance of financial markets. Behavioral finance aims to empirically validate neoclassical assumptions about human behavior and, where these assumptions are confirmed to be incorrect, it discovers empirical laws that correctly describe behavior and have the same accuracy. Behavioral finance also aims to formulate and propose concepts for the operation of the economic system and its institutions, and utilizes the actual behavioral intentions derived from neoclassical assumptions in the Iranian insurance industry to determine the overall policy. Therefore, the main goal of the research is to answer the question: how investors' preferences in the insurance industry are related to the emphasis on the psychological model.
Theoretical Framework
Investor Sentiment
Market sentiment is the atmosphere of market boom or bust. When the market is in boom states, investors are willing to buy stocks even at a higher price than the actual value. In this case, investors tend to accept more risk, which indicates confidence in the market and economic conditions (Lenestour et al., 2021). Investor sentiment is a global phenomenon and the level of investor confidence can affect the overall market return and stock value. Meanwhile, other areas such as the level of company disclosure and market liquidity can affect investor sentiment (Baker et al., 2018).
Shunmugasundram & Sinha (2024) investigated the effect of behavioral biases on investment decisions through the serial mediation of the effects of overconfidence and inclinations. The results of this study showed that behavioral biases affect the investment decisions of life insurance policyholders. The results also support the serial mediation model, in which behavioral biases influence life insurers’ investment decisions through overconfidence and disposition effects. It also introduces overconfidence and disposition effects as serial mediators between behavioral biases and investment decisions.
Wang (2023) examined behavioral biases in investment decisions. The results suggest that regular portfolio reviews and adjustments are essential to counteract biases and adapt to changing market conditions. Furthermore, proactive visualization of potential outcomes can help reduce biases by promoting a more realistic assessment of risk and reward. It also showed that behavioral biases play a central role in investment decisions. To enhance performance and investment satisfaction, investors are encouraged to understand and correct these biases.
Research Methodology
The present study is applicable in terms of purpose, and descriptive-survey in nature. The statistical population consists of 140 investors and capital market activists selected by random sampling method. A questionnaire taken from the qualitative section was used to collect research data.
Research findings
Data analysis was carried out using SPSS and Lisrel statistical software. Four dimensions of perceptual factors, economic factors, emotional factors, and control factors were obtained based on the findings of the qualitative section. Therefore, the results showed that after reviewing past studies and interviewing experts, the variables and influential factors in this study include perceptual factors, economic factors, emotional factors, and control factors. Based on the results of the structural equation testing and the obtained statistics, it can be seen that the coefficients of all factors have a significant effect on the final model, and the effect of all factors on the structural-process pattern of investor preferences in the insurance industry is confirmed with an emphasis on psychological factors.
Conclusion
The present study aimed to investigate the relationship between investor preferences in the insurance industry with an emphasis on the psychological model. The results of this study are consistent with the results of Shunmugasundram & Sinha (2024), Wang (2023), Ashrafi et al. (2022), Sunder et al. (2018), Zamani (2021), Moradi et al. (2021), Nateg Golestan & Kafash Ghochani (2020), and Asghari & Salimi Baher (2019). Wang (2023) showed that regular portfolio review and adjustments are essential to counter biases and adapt to changing market conditions. In addition, proactive visualization of potential outcomes can help reduce biases by promoting a more realistic assessment of risk and reward. It also showed that behavioral biases play a central role in investment decisions. Investors are encouraged to understand and correct these biases to enhance performance and satisfaction with investment.
Based on the results obtained, the following suggestions are made:
• In addition to its contribution to reducing individual and psychological risks and risk management, insurance can have important effects on the growth and development of the country's economy as an efficient financial intermediary. Therefore, it is suggested that considerable attention should be paid to measuring behavioral factors in this industry in order to expand the volume of the economy and economic activities in the insurance industry.
• Emotional stimuli are the strongest motivators for purchasing decisions. Emotions such as fear, shame, pride, and even altruism can be included in the behavioral assessments of insurance industry policymakers in order to improve the quality of insurance.

Keywords

psychological factors

market sentiment

investor sentiment

behavioral bias

Subjects

Other topics related to business management andEntrepreneurship

Asghari, A.A., & Salimi Baher, M. (2019). Behavioral Finance, Application of Psychology in Financial Knowledge, First International and National Conference on Management Studies, Accounting and Law, Tehran, https://civilica.com/doc/914048. (In Persian).

Ashrafi, B., & Hajiha, Z., & Tehrani, R. (2022). Investigating the Effect of Auditors' Behavior Biases on Decision-Making and Errors within the Capital Market, with Emphasis on the Auditor's Personal and General Characteristics. International Journal of Finance, Accounting, and Economics Studies, 3(3), 2022, 1-14. (In Persian)

Barberis, N. (2018). "Psychology-based models of asset prices and trading volume" in Handbook of Behavioral Economics-Foundations and Applications 1, B. D. Bern-heim, S. DellaVigna, D. Laibson, Eds. Elsevier, 79-175.

Baker, H., & Kent, G. F., & Victor R. (2018). Financial Behavior Players, Services, Products, and Markets. New York: Oxford University Press.

Bloomfield, R. (2017). “Traditional Versus Behavioral Finance.” In H. Kent Baker and John R. Nofsinger (eds.), Behavioral FinanceInvestors, Corporations, and Markets, 23‒38.

Cici, G. (2012). The Prevalence of the Disposition Effect in Mutual Funds' Trades.” Journal of Financial and Quantitative Analysis 47:4, 795–820. https://EconPapers.repec.org/RePEc:cup:jfinqa:v:47:y:2012:i:04:p:795-820_00

Cooper, A. D., & Carolyn, Y. W., & William, C. D. (2019). “Entrepreneurs’ Perceived Chances for Success.” Journal of Business Venturing 3:2, 97–108.

LeNestour, P., & Doran, j., & Pradier.E, L., & Putnins.T. (2021), "Harnessing Neuroscientific Insights to Generate Alpha", Financial Analyst Journal (forthcoming).78(4). 1-18. DOI:10.1080/0015198X.2022.2034468

Mitchell, Olivia S., & Gary, R., & Mottola, Stephen P. Utkus, and Takeshi Yamaguchi. 2020. “The Inattentive Participant: Portfolio Trading Behavior in 401(K) Plans.” Michigan Retirement Research Center Research Paper No. WP 2006-115. Available at SSRN: http://ssrn.com/abstract=1094834.

Moradi, R., & Ahmadi, F., & Kordloui, H., & Asadnia, J. (2021) Investigating the moderating role of behavioral biases on the relationship between individual characteristics of financial managers and company characteristics with the financial performance of companies listed on the Tehran Stock Exchange. Quarterly Journal of Financial and Behavioral Research in Accounting, 1(2). 123-127. 10.30486/fbra.2021.1944194.1042 (In Persian)

Nateg Golestan, A., & Kafash Ghochani, F. (2020). Investigating the relationship between investment personality and behavioral biases based on Pompin theory, Joint Congress of Fuzzy and Intelligent Systems of Iran (19th Fuzzy Systems Conference and 17th Intelligent Systems Conference), Mashhad, https://civilica.com/doc/1193512 (In Persian)

Rahnemae Roudpeshti, F. (2014). Identifying and ranking groups that influence the decision-making of individual and institutional investors in the Tehran Stock Exchange, Master's thesis in Financial Management, University of Tehran.. (In Persian)

Shunmugasundaram, V., & Sinha, A. (2024). The impact of behavioral biases on investment decisions: a serial mediation analysis. Journal of Economics Finance and Administrative Science. DOI:10.1108/JEFAS-08-2023-0243

Wang, Y. (2023). Behavioral Biases in Investment Decision-Making. Advances in Economics Management and Political Sciences 46(1):140-146. DOI:10.54254/2754-1169/46/20230330

Zamani, F. (2021). Investigating the behavioral biases of major institutional shareholders in the Tehran Stock Exchange from a behavioral finance perspective, 10th International Conference on Modern Research in Management, Economics and Development, https://civilica.com/doc/1269849. (In Persian)