Volume 18, Issue 3 (9-2023)
J. Mon. Ec. 2023, 18(3): 387-416 |
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Zoghi E, Pedram M. Simulating the Shareholders’ Behavior pattern in capital market considering the changing monetary policies of the central bank of Iran. J. Mon. Ec. 2023; 18 (3) : 6
URL: http://jme.mbri.ac.ir/article-1-616-en.html
URL: http://jme.mbri.ac.ir/article-1-616-en.html
1- Department of Economics, Faculty of Social Sciences and Economics, Alzahra university, Tehran, Iran
Abstract: (245 Views)
The purpose of this article is to simulate the behavior pattern of shareholders in the Iran’s capital market according to the monetary policies of the Central Bank of Iran. The research method in the first stage was qualitative (interview) and in the second part it was quantitative (statistical and inferential tests). According to the purpose of the research, the research method was of fundamental-applied type and based on the research method of survey type. The statistical population of the research consists of the shareholders of the Tehran Stock Exchange, whose number was about 650 stock companies until the end of the fiscal year 2023. Semi-structured interviews with experts of this market have been used to identify model indicators. Then, by coding the data obtained from the interviews, a research questionnaire was designed. Finally, to extract the model from the factor-based model (ABM) using the exploratory factor analysis method, Netlogo software was used for simulation.
The investigated period can be divided into three periods without applying a targeted monetary policy to control the behavior of shareholders. The first period is the period when economic variables such as exchange rate, inflation rate and interest rate are constant. In this situation, the number of buyers in the capital market has increased and purchases have taken place in this market (in this purchase, the share of emotional buyers is higher). In the second period, when inflation decreases and the interest rate remains the same, the number of shareholders in the market is reduced, but purchases still occur, but the share of volatile buyers is higher in this period. In the third period, when the inflation rate and the interest rate both increase, with the greater effect of expansionary policies (increasing the volume of money) than the increase in the interest rate, the number of shareholders and the amount of purchases increase.
The study of the behavior of shareholders and their buying and selling in this market indicates that the profit from the buying and selling of volatile shareholders in the period under review is more than that of emotional shareholders and shareholders who hold their shares for a while in order to gain profit with a long-term view.
The results indicate that due to uncertainty, this market, which has the nature of long-term financing, has lost its function and the shareholders' view of this market is short-term profit.
The investigated period can be divided into three periods without applying a targeted monetary policy to control the behavior of shareholders. The first period is the period when economic variables such as exchange rate, inflation rate and interest rate are constant. In this situation, the number of buyers in the capital market has increased and purchases have taken place in this market (in this purchase, the share of emotional buyers is higher). In the second period, when inflation decreases and the interest rate remains the same, the number of shareholders in the market is reduced, but purchases still occur, but the share of volatile buyers is higher in this period. In the third period, when the inflation rate and the interest rate both increase, with the greater effect of expansionary policies (increasing the volume of money) than the increase in the interest rate, the number of shareholders and the amount of purchases increase.
The study of the behavior of shareholders and their buying and selling in this market indicates that the profit from the buying and selling of volatile shareholders in the period under review is more than that of emotional shareholders and shareholders who hold their shares for a while in order to gain profit with a long-term view.
The results indicate that due to uncertainty, this market, which has the nature of long-term financing, has lost its function and the shareholders' view of this market is short-term profit.
Article number: 6
Type of Study: Original Research - Empirical |
Subject:
Monetary Economics
Received: 14 Dec 2022 | Accepted: 21 Oct 2024 | Published: 6 Nov 2024
Received: 14 Dec 2022 | Accepted: 21 Oct 2024 | Published: 6 Nov 2024
References
1. Artana, D., Moskovits, C., Puig, J. (2022). Fiscal rules and the behavior of public investment: towards growth-friendly fiscal policy? The case of Argentina. SN Bus Econ 2, 112,
https://doi.org/10.1007/s43546-022-00281-8 [DOI:10.1007/s43546-022-00281-8.]
2. Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. Handbook of the Economics of Finance, 1, 1053-1128. [DOI:10.1016/S1574-0102(03)01027-6]
3. Carboni, O.A. and Medda, G. (2021). Innovative activities and investment decision: evidence from European firms. J Technol Transf 46, 172-196. [DOI:10.1007/s10961-019-09765-6]
4. Cevik Serham; Katerina Teksoz(2012). Lost in Transmission? The effectiveness of monetary policy transmission channels in the GCC countries. IMF working paper, 191. [DOI:10.2139/ssrn.2169737]
5. Dahmene, M., Boughrara, A. & Slim, S. (2021). Nonlinearity in stock returns: Do risk aversion, investor sentiment and, monetary policy shocks matter?" International Review of Economics & Finance, Elsevier, vol. 71(C), pages 676-699. [DOI:10.1016/j.iref.2020.10.002]
6. Dressler, E. and Mugerman, Y. (2022). Doing the Right Thing? The Voting Power Effect and Institutional Shareholder Voting. J Bus Ethics,
https://doi.org/10.1007/s10551-022-05108-y [DOI:10.1007/s10551-022-05108-y.] [PMID] []
7. Garas, S. N. (2012). The conflicts of interest inside the Shari'a supervisory board. International Journal of Islamic and Middle Eastern Finance and Management, 5(2), 88-105. [DOI:10.1108/17538391211233399]
8. Ghazanchyan, Manuk(2014). Unraveling the Monetary Policy transmission mechanism in Sri Lanka. IMF working paper, 190. [DOI:10.5089/9781484311660.001]
9. Ghosh, D. and Dutta, M. (2021). Investment behaviour under financial constraints: a study of Indian firms. SN Bus Econ 1, 108. 1-16. [DOI:10.1007/s43546-021-00113-1]
10. Gorjizadehbaee, D. and Khan Mohammadi, M. (2021). Investigating the behavior of individual investors after the release of financial statements. Journal of Investment Knowledge, 10(38), 155-172.
11. Hsu, Y.L., Chow, E.H. (2013). The House Money Effect on Investment Risk Taking: Evidence from Taiwan. Pacific-Basin Finance Journal, 21 (1): 1102-1115 [DOI:10.1016/j.pacfin.2012.08.005]
12. Jani, A. (2021). An agent-based model of repeated decision making under risk: modeling the role of alternate reference points and risk behavior on long-run outcomes. J Bus Econ 91, 1271-1297. [DOI:10.1007/s11573-021-01048-7]
13. Klyver, K., Lindsay, N.J., Kassicieh, S.K. et al. (2017). Altruistic investment decision behavior in early-stage ventures. Small Bus Econ 48, 135-152. [DOI:10.1007/s11187-016-9771-4]
14. Khojasteh S, zanjirdar M.( 2017). The Impact of Investors' herding Behavior on the Stock Returns Using Huang and Solomon Model . quarterly journal of Fiscal and Economic Policies, 4 (15) :115-134
15. Li, S. and Wang, B. (2019). Evolutionary game simulation of corporate investing and financing behavior from a risk perspective. Cluster Comput 22 (Suppl 3), 5955-5964. [DOI:10.1007/s10586-018-1734-x]
16. Liao, W-J, Lin, Y-E, Li, X-Z and Chih, H-H (2022). The Effects of Behavioral Foundations and Business Strategy on Corporate Dividend Policy. Frontiers in Psychol. 13:849238. [DOI:10.3389/fpsyg.2022.849238] [PMID] []
17. Macal, C. M. and North, Michael John (2009). Agent-based modeling and simulation, Winter Simulation Conference, IEEE, DOI:10.1109/WSC.2009.5429318. [DOI:10.1109/WSC.2009.5429318]
18. Miles , David (2015). What can monetary policy do?. Bank of England, Monetary policy committee.
19. Mishkin, Fredric(1996). The channels of Monetary Transmission: Lessons for monetary policy. Cambridge NBER working paper series. [DOI:10.3386/w5464]
20. Nayebmohseni, S., Khalifehsultani, S. A., & Hejazi, R. (2022). Developing a Behavioral Model of Individual Investors' Decision-making in the Iranian Capital Market. Financial Research Journal, 23(4), 625-652.
21. Park, J., Kim, DY. & Oh, S. (2020). Explicit and implicit stock investment: Differences in psychological characteristics and risky behavior between college students majoring in financial engineering or business. Curr Psychol 39, 1954-1969. [DOI:10.1007/s12144-019-00555-9]
22. Pourmansouri, R., Amir Mehdiabadi, V.Sh. & Cristi S. et al. (2022). An Investigation of the Link between Major Shareholders' Behavior and Corporate Governance Performance before and after the COVID-19 Pandemic: A Case Study of the Companies Listed on the Iranian Stock," JRFM, MDPI, vol. 15(5), pages 1-30. [DOI:10.3390/jrfm15050208]
23. Rahmani, A., Samadi, S., & Bakhshi Dastjerdi, R. (2021). Investigating the Effect of Financial and Monetary Policy on the Iranian Stock Market by Using DSGE Model. Iranian Economic Review, 25(3), 509-523.
24. Rajasekar, A., Pillai, A.R., Elangovan, R. et al. (2022). Risk capacity and investment priority as moderators in the relationship between big-five personality factors and investment behavior: a conditional moderated moderated-mediation model. Qual Quant,
https://doi.org/10.1007/s11135-022-01429-2 [DOI:10.1007/s11135-022-01429-2.] [PMID] []
25. Reddic, W.D. (2021). Under pressure: investment behaviour of insurers under different financial and regulatory conditions. Geneva Pap Risk Insur Issues Pract 46, 21
https://doi.org/10.1057/s41288-020-00184-5 [DOI:10.1057/s41288-020-00184-5.]
26. Ritika, H. and Kishor, N. (2022). Modeling of factors affecting investment behavior during the pandemic: a grey-DEMATEL approach. J Financ Serv Mark,
https://doi.org/10.1057/s41264-022-00141-4 [DOI:10.1057/s41264-022-00141-4.] []
27. Sarfaraz, A. H., Karbassi Yazdi, A., Thomas, H., Özaydin G. et al. (2022). Analyzing the Investment Behavior in the Iranian Stock Exchange during the COVID-19 Pandemic Using Hybrid DEA and Data Mining Techniques. Mathematical Problems in Engineering, Volume 2022, Article ID 1667618, 1-16. [DOI:10.1155/2022/1667618]
28. Steinbacher, M., Raddant, M., Karimi, F. et al. (2021). Advances in the agent-based modeling of economic and social behavior. SN Bus Econ 1, 99, 1-22. [DOI:10.1007/s43546-021-00103-3] [PMID] []
29. Wang, H., Liu, S. & Kong, A. (2019). Theoretical and empirical research on investment behavior strategy based on fuzzy probability. Cluster Comput 22 (Suppl 2), 4349-4359. [DOI:10.1007/s10586-018-1876-x]
30. Wang, J. and Xia, W. (2022). Enterprise management heterogeneity and enterprise investment behavior based on intelligent scheduling system. Neural Comput & Applic 34, 12491-12504. [DOI:10.1007/s00521-021-06463-z]
31. Wang, M., Deng, H. & Leong, K.G. (2022). Innovation investment and subsidy strategy in two-sided market. Inf Technol Manag,
https://doi.org/10.1007/s10799-021-00331-x [DOI:10.1007/s10799-021-00331-x.]
32. Yue, P., A. Gizem Korkmaz, and Zhou, H. (2020). Household financial decision making amidst the Covid-19 pandemic. Emerging Markets Finance and Trade 56 (10): 2363-2377. [DOI:10.1080/1540496X.2020.1784717]
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