Understanding Investor Behavior: a Mixed-Methods Approach to Analyze Behavioral Factors Impacting Systematic Risk over Time
Subject Areas : International Journal of Finance, Accounting and Economics Studies
Mohammad Mohammadipour
1
,
Ghodratollah Talebnia
2
*
,
Mehrdad Hosseini Shakib
3
1 - Ph.D. Student, in Department of Industrial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - Associate Prof, Department of Accounting, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Accounting and Management, Karaj Branch, Islamic Azad University, Tehran, Iran
Keywords: Investor behavior, behavioral financial factors, systematic risk, mixed-methods approach, time changes,
Abstract :
Purpose: Addressing a research gap in comprehensively understanding the interplay between investor behavior and systematic risk, this study employs a mixed-methods approach. This study aims to identify key indicators shaping investor behavior and quantitatively validate their relationships with temporal changes in systematic risk. Methodology: In the qualitative stage, systematic review and meta-synthesis techniques were employed to extract key indicators. The subsequent quantitative phase involved 384 participants, including investors, capital market professionals, and financial analysts, selected through available sampling. Structural equation modeling (SEM) with factor analysis using AMOS software was employed for data analysis. Findings: The research identifies six impactful dimensions shaping investor behavior: individual factors, personality factors, social factors, psychological factors, emotional components, and ethical components. These dimensions are ranked in order of significance. Empirical results affirm all research hypotheses, emphasizing the importance of these dimensions in understanding investor behavior and its influence on systematic risk. Conclusion: This study provides valuable insights into investor behavior's complex interplay with systematic risk. The amalgamation of qualitative and quantitative methodologies not only unveils key dimensions affecting behavior but also statistically validates these findings. The confirmed hypotheses underscore the relevance of understanding these dimensions for financial professionals, policymakers, and investors, emphasizing the need for a discerning approach in risk management and decision-making processes within the financial realm.
1. Abdellaoui, M., Bleichrodt, H., & Paraschiv, C. (2007). Loss Aversion under Prospect Theory: A Parameter-Free Measurement. Management Science. 53(10), 1659-1674. 10.1287/mnsc.1070.0711.
2. Almeida, J., & Gonçalves, T. (2023). A systematic literature review of investor behavior in the cryptocurrency markets. Journal of Behavioral and Experimental Finance, 37, 100785.
3. Asemi, A., Asemi, A., & Ko, A. (2023). Adaptive neuro-fuzzy inference system for customizing investment type based on the potential investors’ demographics and feedback. Journal of Big Data, 10, 87. https://doi.org/10.1186/s40537-023-00784-7
4. Asiabi-Aghdam, L., Rahimzadeh, A., Falahi, N., & Rajai, Y. (2021). Portfolio Selection based on Behavioral Economics (Case Study: Tehran Stock Market). Journal of Financial Economics, 15(55), 155-190. (In Persian)
5. Baker, H.K., Kumar, S., Goyal, N., & Gaur, V. (2019). How financial literacy and demographic variables relate to behavioral biases. Managerial Finance, 45(1), 124-146. https://doi.org/10.1108/MF-01-2018-0003
6. Battistini, N., Pagano, M., & Simonelli, S. (2014). Systemic risk, sovereign yields and bank exposures in the euro crisis. Economic Policy, 29(78), 203–251, https://doi.org/10.1111/1468-0327.12029
7. Chaudhry, S., & Kulkarni, C. (2021). Design Patterns of Investing Apps and Their Effects on Investing Behaviors. DIS '21: Proceedings of the 2021 ACM Designing Interactive Systems Conference, 777–788. https://doi.org/10.1145/3461778.3462008
8. Cherono, I., Olweny, T., & Nasieku, T. (2019). Investor behavior biases and stock market reaction in Kenya. Journal of Applied Finance & Banking, 9(1), 147-180.
9. Dadres, K., Tolouei Eshlaghi, A., & Radfar, R. (2018). The Role of Behavioral Finance in Perception of Individual Investors' Behavior (A Review of Empirical Evidence from Tehran Stock Exchange). Knowledge of Investment, 7(28) 83-102. (In Persian)
10. Deaves, R., Lüders, E., & Luo, G. Y. (2008). An experimental test of the impact of overconfidence and gender on trading activity. Review of finance, rfn023.
11. Derbali, A., & Hallara, S. (2016). Systemic risk of European financial institutions: Estimation and ranking by the Marginal Expected Shortfall. Research in International Business and Finance, 37, 113-134.
12. Faridniya, A., & Faridnia, M. (2019). Providing a model for allocating resources and choosing investment type using Data Envelopment Analysis (DEA) (Case Study: Social Security Organization). Journal of Advanced Pharmacy Education & Research, 9(S2), 112–24.
13. Ghayour Baghbani, M., & Behboudi, O. (2017). Factors affecting the expression of investors' behavior with phenomenological approach. Asset Management and Financing, 5(3), 81, 57-76. (In Persian)
14. Gheisari, R., Salehi, S., & Ghobadi, S., (2021). The role of investors' fiscal knowledge on financial behavior in the capital market of Iran. Journal of Financial Economics, 15(54), 325-353. (In Persian)
15. Gurbaxani, A., & Gupte, R. (2021). A study on the impact of COVID- 19 on investor behaviour of individuals in a small town in the state of Madhya Pradesh, India. Australasian Accounting, Business and Finance Journal, 15(1), 70-92. doi:10.14453/aabfj.v15i1.6
16. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (2006). Multivariate Data Analysis, 6th ed., Pearson Education, NJ.
17. Hernández, E., Sittón, I., Rodríguez, S., Gil, A.B., García, R.J. (2019). An Investment Recommender Multi-Agent System in Financial Technology. In: Graña M, López-Guede JM, Etxaniz O, Herrero Á, Sáez JA, Quintián H, Corchado E, editors. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. Cham: Springer International Publishing.
18. Isidore R., & Christie, P. (2019). The relationship between the income and behavioural biases. Journal of Economics, Finance and Administrative Science, 24(47), 127-144. https://doi.org/10.1108/JEFAS-10-2018-0111
19. Jafari, S., Garkez, M., Saeedi, P., & Moatoofi, A. (2020). The role of psychological and functional factors on willingness to invest in the stock market with the mediating role of investor satisfaction and perceived risk of investors. Securities Analysis Financial Knowledge, 13(48), 47-62. (In Persian)
20. Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47 (2), 263-291.
21. Kari, M. (2016). Rational choice theory: An overview. International Journal of Political Science, 6(12), 75 -83.
22. Kengatharan, L., & Kengatharan, N. (2014). The influence of behavioral factors in making investment decisions and performance: Study on investors of Colombo Stock Exchange, Sri Lanka. Asian Journal of Finance & Accounting, 6(1).
23. Kent, D., & Hirshleifer, D. (2015). Overconfident investors, predictable returns, and excessive trading. Journal of Economic Perspectives, 29 (4), 61-88.
24. Khawaja, M.J., & Alharbi, Z.N. (2021). Factors influencing investor behavior: an empirical study of Saudi stock market. International Journal of Social Economics, 48(4), 587-601. https://doi.org/10.1108/IJSE-07-2020-0496
25. Kiruba, A.S., & Vasantha, V. (2021). Determinants in investment behaviour during the COVID-19 pandemic. The Indonesian Capital Market Review, 13(2), 1.
DOI: 10.21002/icmr.v13i2.13351
26. Kovács, T., Ko, A., & Asemi, A. (2021). Exploration of the investment patterns of potential retail banking customers using two-stage cluster analysis. Journal of Big Data, 8(1), 141. https://doi.org/10.1186/s40537-021-00529-4.
27. Kumar, S., & Goyal, N. (2015). Behavioural biases in investment decision making – a systematic literature review. Qualitative Research in Financial Markets, 7(1), 88-108. https://doi.org/10.1108/QRFM-07-2014-0022
28. Kumar, S., & Goyal, N. (2016). Evidence on rationality and behavioral biases in investment decision making. Qualitative Research in Financial Markets, 8(4), 270-287. https://doi.org/10.1108/QRFM-05-2016-0016
29. Lieder, F., Griffiths, T., Huys, Q., & Goodman, N. (2017). The anchoring bias reflects the rational use of cognitive resources. Psychonomic Bulletin & Review. 25. 10.3758/s13423-017-1286-8.
30. Liu, H., & Chiu, Y. (2015). Sales framing, mental accounting, and discount assignments. Asia Pacific Management Review. 9. 10.1016/j.apmrv.2015.01.002.
31. Manocha, S., Bhullar, P.S. & Sachdeva, T. (2023). Factors determining the investment behaviour of farmers – the moderating role of socioeconomic demographics. Journal of Indian Business Research, 15(3), 301-317. https://doi.org/10.1108/JIBR-02-2022-0045
32. Mensi, W., Hammoudeh, S., Shahzad, S.J., & Shahbaz, M. (2017). Modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition-based copula method. Journal of Banking & Finance, 75, 258-279.
33. Mestre, R.A. (2021). Wavelet approach of investing behaviors and their effects on risk exposures. Financial Innovation, 7, 24. https://doi.org/10.1186/s40854-021-00239-z
34. Metawa, N., Hassan, M.K., Metawa, S., & Safa, M.F. (2019). Impact of behavioral factors on investors’ financial decisions: case of the Egyptian stock market. International Journal of Islamic and Middle Eastern Finance and Management, 12(1), 30-55. https://doi.org/10.1108/IMEFM-12-2017-0333
35. Nemati, M., & Rahmani Noroozabad, S. (2023). The role of psychological biases on investors' financial satisfaction: Evidence from investors in Tehran Stock Exchange. Financial Economics, 17(63), 1-24. (In Persian)
36. Ngoc, L. (2014). Behavior pattern of individual investors in stock market. International Journal of Business and Management, 9(1).
37. Rahimpour Khanghah, F., Fazlzadeh, A.R., Naghdi, S., & Ahmadian, V. (1400). The effect of self-control and fiscal knowledge on financial satisfaction of investors in Tehran Stock Exchange with the mediating role of financial behavior. Prospects for Financial Management, 35, 173-197. (In Persian)
38. Rajasekar, A., Pillai, A.R., Elangovan, R. et al. (2023). Risk capacity and investment priority as moderators in the relationship between big-five personality factors and investment behavior: a conditional moderated moderated-mediation model. Quality & Quantity, 57, 2091–2123. https://doi.org/10.1007/s11135-022-01429-2
39. Roodposhti Rahnama, F., & Zandieh, V. (2012). Behavioral finance and neuro-finance (New financial paradigm) from theory to practice, Islamic Azad University Press - Printing and Publishing Organization. (In Persian)
40. Rosyidah, U., & Pratikto, H. (2022). The role of behavioral bias on financial decision making: a systematic literature review and future research agenda. Journal of Enterprise and Development (JED), 4(1), DOI: https://doi.org/10.20414/jed.v4i1.5102
41. Saadatzadeh Hesar, B., Abdi, R., Mohammadzadeh Salteh, H., & Narimani, M. (2022). The relationship between cognitive bias in investors' behavior-mediated by stock price fluctuations. Journal of Financial Economics, 15(65), 303-320. (In Persian)
42. Sandelowski, M., & Barroso, J. (2007). Handbook for Synthesizing Qualitative Research. New York: Springer Publishing Company.
43. Shahzad, S.J., Arreola-Hernandez, J., Bekiros, S., Shahbaz, & M., Kayani, G. (2018). A systemic risk analysis of Islamic equity markets using vine copula and delta CoVaR modeling. Journal of International Financial Markets, Institutions and Money, 56, 104-127.
44. Shaik, M. B. ., Kethan, M., Jaggaiah, T. & Khizerulla, M. (2022). Financial literacy and investment behavior of IT professionals in India. East Asian Journal of Multidisciplinary Research, 1(5), 777–788. https://doi.org/10.55927/eajmr.v1i5.514
45. Shaik, M. B., Kethan, M., & Jaggaiah, T. (2022). Financial literacy and investment behavior of IT professionals with reference to Bangalore City. Ilomata International Journal of Management, 3(3), 353-362. https://doi.org/10.52728/ijjm.v3i3.487
46. Shefrin, H., & Statman, M. (2000). Behavioral portfolio theory. Journal of Financial and Quantitative Analysis, 35(2):127-151. doi:10.2307/2676187
47. Simon, H. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69, 99-118.
48. Singh, R., Sarva, M., & Sharma, M. (2020). Investment behavior and risktaking ability among retail investor: Role of demographic factors. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(9), 5902 - 5926.
49. Smaga, P. (2014). The Concept of Systemic Risk. Systemic Risk Centre Special Paper No 5, The London School of Economics and Political Science, August 2014, Available at SSRN: https://ssrn.com/abstract=2477928
50. Wang, F., Zhang, R., Ahmed, F., & Muhammed, S. (2022). Impact of investment behavior on financial markets during COVID-19: a case of UK. Economic Research-Ekonomska Istraživanja, 35(1), 2273-2291, DOI:10.1080/1331677X.2021.1939089
51. Xi, D., O’Brien, T., & Irannezhad, E. (2020). Investigating the investment behaviors in cryptocurrency. The Journal of Alternative Investments, 23(2), 141-160. DOI: 10.3905/jai.2020.1.108
52. Zahera, S.A. & Bansal, R. (2018). Do investors exhibit behavioral biases in investment decision-making? A systematic review. Qualitative Research in Financial Markets, 10(2), 210-251. https://doi.org/10.1108/QRFM-04-2017-0028