Investor Inclinations towards Capital Market: Recursive Analysis, Causes, and Factors

Document Type : Research Paper

Authors

1 Ph.D of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran.

2 Assistant Professor of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran.

10.22103/jdc.2022.19575.1253

Abstract

Objective: This study aimed to analyze and rank factors of investor inclinations towards the capital market through structural-interpretive modeling and recursive analysis.
Method: The exploratory factor analysis was used with the grounded theory to extract indicators. Structural-interpretive modeling was then adopted to rank the factors and the recursive model was extracted through path analysis. Finally, the model fitness was evaluated in AMOS.
Results: The exploratory factor analysis identified 46 categories in six dimensions, namely casual factors, contextual factors, axial factors, intervening factors, strategies, and outcomes. The structural-interpretive modeling results classified the factors in 5 levels from bottom-top, where the first and last levels were respectively causal factors and outcomes. The path analysis results mainly emphasized the indirect effects of contextual and intervening variables, and the findings suggested that the model had adequate fitness.
Conclusion: The results were analyzed for structural-interpretive modeling and recursive analysis of investor inclinations towards the capital market. According to the factor analysis results, the indices had high factor loads with six major components (factors). The discovered indicators shown in Table 1 suggest that the structural model of investor inclinations towards the stock market can be described with six components and 46 subcomponents. The causal factors, contextual factors, intervening factors, axial factors, strategic factors, and outcomes respectively had 10, 14, 8, 2, 5, and 7 subcomponents.
The results of analyzing the factor loads of indices toward the main research objective found high factor loads in an investor’s personality and attitude, emotional intelligence, preferences and interests, mental security, loss avoidance, experience, and business intelligence, and governmental macro planning and Maslow’s hierarchy of needs. These indicators were highly important.
People are inclined toward different activities for various reasons, and the same goes for investments and trades in financial markets. For instance, an investor’s personality and attitude from the causal indices is among the most important factors in the psychology of capital markets. In other words, various mental processes and situations lead to different feelings and motivations, which can greatly affect the investor decisions. Another important indicator is an investor’s experience that can be analyzed in two aspects, the first being their experience with the profit or loss from previous trades that will become a positive or negative mental background for investors during trades, and the second aspect is gaining experience in making buy or sell calls over time. An investor’s mental security also has a high factor load in causal factors. Investors are constantly concerned about capital security in the stock market since it is perceived as a country’s economic thermometer. It is affected by domestic and foreign sociopolitical problems that are major sources of share price fluctuations. Hence, investors can somehow moderate the fear of share price fluctuations by improving their investment knowledge and becoming aware of increases and decreases in share prices. However, an investor’s loss avoidance is also effective. According to Maslow’s hierarchy of needs, investors should use their additional savings to invest in the stock market for higher levels of mental security.
An investor’s emotional and business intelligence are the next indicators with high factor loads in contextual factors. These are considered moderating factors in the mass behavior of investors.
An investor’s preferences and interests were identified as the axial category. With high factor loads, these indicators suggest that investors have different preferences. For instance, some prefer very low-risk investments resulting in conservative profits, whereas others are willing to take substantial risks for more profit. All of the aforementioned indicators affect this category. Moreover, governmental macro planning is an important indicator with a high factor load in strategic factors. In this regard, it is important to accurately analyze the macro environment and formulate appropriate scenarios to adopt the correct rather than cumbersome regulations in the strategic planning foundation for the capital market. The authorities and legislators active in capital markets should always take this into consideration.
The results of the conceptual structural-interpretive model for the effectiveness of factors suggested that the causal factors had the greatest effects on other dimensions. Furthermore, among the six major research dimensions, outcomes were the most dependent on other dimensions. The path analysis and model fitness analysis were conducted in AMOS. Analysis of the recursive model indicates a variable’s effect on itself and that the contextual and intervening dimensions affected themselves directly. Analyzing the final model fitness indicators and all parsimonious indices, namely PRATIO, PCFIC, and PNFI, showed that the final model had adequate fitness.
The stock market is a segment of a country’s economy whose growth will also boost the economy. Hence, it is necessary to better recognize the factors affecting investor behaviors in a bid to understand their mentality and external behaviors within a scientific framework. This will facilitate better identification of views, states, and behaviors of investors and help the stock market grow, hence the following recommendations:

According to the results, the investable companies in the capital market are advised to always improve the quality of accounting information in reports.
The investors in the capital market are advised to set their financial goals first. Realistic goals are the road map helping investors identify what to invest in, set their investment horizon, and what markets to operate in. Therefore, investors can have different goals based on the three risk factors, namely income, expectation of growth rate, and dividend payout. Investors are advised to strike a balance between security, income, and investment growth to make successful investments. Given the effects of their feelings on the share price, investors should be more careful about buying or selling shares during transient emotional news cycles.
Capital market authorities and legislators are advised to support the market during political turmoil to reduce emotional market actions. Therefore, they should consider the importance of regulations on economic growth.

Keywords

Main Subjects

References

ابراهیمی، سید کاظم و احمدی مقدم، منصور (1394). تأثیر اهرم مالی و محافظه‌کاری شرطی بـر ناکـارایی سرمایه‌گذاری شرکت‌های پذیرفته شده در بورس اوراق بهادار تهـران. فصـلنامه حسـابداری مـالی، 27(7)، 120-102.
اسلامی بیدگلی، غلامرضا وکردلویی، حمیدرضا (1389). مالی رفتاری، مرحله گذر از مالی استاندارد تا نوروفایناس، مهندسی مالی و مدیریت اوراق بهادار، 19(1)، 36-1.
ایزدی‌نیا، ناصر وحاجیان‌نژاد، امین (1388). بررسی و آزمون رفتار توده‌وار در صنایع منتخب در بورس اوراق بهادار تهران. فصلنامه بورس اوراق بهادار، 2(7)،  105 -1.
بنابی قدیم، رحیم و کرباسی یزدی، حسین (1393). کاربرد تئوری حسابداری ذهنی (از تئوری تا عمل). حسابداری و منافع اجتماعی، 4(2)، 133-117.
حسینی چگنی، الهام و حقگو، بهناز و رحمانی نژاد، لیلا (1393). بررسی تورش­های رفتاری سرمایه‌گذاران در بورس اوراق بهادار تهران بر مبنای معادلات ساختاری. فصلنامه علمی - پژوهشی راهبرد مدیریت مالی، (4)2، 133-113.
حیدرپور، فرزانه و تاری وردی، یدالله و محرابی، مریم (1392). تأثیرگرایش‌های احساسی سرمایه‌گذاران بر بازده سهام. فصلنامه علمی‌پژوهشی دانش مالی، تحلیل اوراق بهادار، 6 (1) ، 13-1.
خلیلی عراقی، مریم و سردار، سهیلا و وفادار، احسان (1396). تأثیر احساسات سرمایه‌گذار بر ترجیحات چولگی و قیمت دارایی. اولین کنفرانس ملی نقش حسابداری، اقتصاد و مدیریت، تبریز.
جعفری کلوچه، محمد و عبدلی، محمدرضا و مسکنی، مصطفی (1396). تأثیر سوگیری رفتاری مدیران بر ریسک شرکت‌های پذیرفته شده در بورس اوراق بهادار ایران. پایان‌نامه کارشناسی ارشد، دانشگاه غیرانتفاعی شاهرود.
دانایی‌فرد، حسن و اسلامی، آذر (1390). کاربرد استراتژی نظریه داده‌بنیاد در عمل، ساخت نظریه بی‌تفاوتی سازمانی. انتشارات دانشگاه امام صادق (ع)، تهران.
رهنمای رودپشتی، فریدون و صالحی، اکرم (1387). مکاتب و تئوری‌های مالی و حسابداری مشتمل بر نظریات، مدل‌ها، تکنیک‌ها، انتشارات دانشگاه آزاد اسلامی واحد تهران مرکز.
زینی وند، محمد و جنانی، محمدحسن و همت فر، محمود و ستایش، محمدرضا (1400). سوگیری‌های رفتاری و تصمیمات سرمایه‌گذاران حقیقی و حقوقی مبتنی بر اطلاعات تکنیکال در بورس اوراق بهادار تهران. فصلنامه اقتصاد مالی، 4(15)، 257-233.
سروش یار، افسانه (1395). بررسی نقش مومنتوم و احساسات سرمایه‌گذاران بر رفتار توده‌وار در بورس اوراق بهادار. دانش سرمایه‌گذاری، 18(5)، 159- 147.
ستایش، محمدحسین و شمس‌الدینی، کاظم (1395). بررسی رابطه بین گرایش احساسی سرمایه‌گذاران و قیمت سهام شرکت‌های پذیرفته شده در بازار سرمایه اوراق بهادار تهران. مجله پیشرفت‌های حسابداری دانشگاه شیراز. 8(1)، 125-103.
سعیدی، علی؛ فرهانیان، سید محمدجواد (1391). مبانی اقتصاد و مالی رفتاری. انتشارات  بورس (وابسته به شرکت اطلاع‌رسانی و خدمات بورس).
شمس‌الدینی، کاظم و دانشی، وحید و سیدی، فاطمه (1397). بررسی تأثیر رفتار سرمایه‌گذاران و مدیریت بر بازدهی سهام. مجله دانش حسابداری، 9(2)، 189-163.
شهریاری نیا، آرش و الفت، لعیا و امیری، مقصود و کزازی، ابوالفضل (1399). رویکرد ترکیبی برای توسعه مدل ساختاری عوامل مؤثر بر همکاری در زنجیره تأمین صنایع خانگی. مجله چشم‌انداز مدیریت صنعتی، 10(37) ، 119-89.
مهرانی، کیارش و معدنچی زاج، مهدی (1397). آزمون اثر احساسات و الگوی رفتار معاملات سرمایه‌گذاران بر بازده مازاد سهام در بورس اوراق بهادار تهران. راهبرد مدیریت مالی، 6(2)، 140-167.
فهیمی دوآب، رکسانا و حجازی، رضوان و ناصحی فر، وحید و تهرانی، رضا (1384). بررسی درجة اهمیت عوامل مؤثر بر رفتار سرمایه‌گذاران سهام عادی در تالار بورس اوراق بهادار مشهد و مقایسة تطبیقی آن با رفتار سرمایه‌گذاران در تالار بورس اوراق بهادار تهران، پایان‌نامة کارشناسی ارشد، دانشکدة اقتصاد و علوم اجتماعی دانشگاه الزهرا.
هومن، حیدرعلی (۱۳۸۴). کتاب مدل‌یابی معادلات ساختاری با استفاده از نرم افزار لیزرل. انتشارات سمت، تهران.
References
Ashis, C.M., & Abha, M. (2021). A study of individual investor behavior for stocks and gold. International Journal of Research in Commerce, Economics & Management, 11(2), 8-16.
Agarwal, A., Shankar, R., &  Tiwari, M.K. (2007). Modeling agility of supply chain. Industrial Marketing Management, 36 (4) , 443-457.
Baker, M., & Wurgler, J. (2007) .Investor sentiment in the stock market. The Journal of Economic Perspectives, 21(2), 129-152.
Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross-section of stock returns. Journal of Finance, 61(4), 1645–1680.
Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. Handbook of the Economics of Finance, 25(2), 1053–1128.
Barberis, N., Vishny, A., & Shleifer, R.W.(1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307-343.
Brown, G.W., & Cliff, M.T.(2004). Investor sentiment and the near-term stock market. Journal of Empirical Finance, 11(1), 1-27.
Baghdadabad, M., &  Habibi, F., & Halid, N. (2018). A study on small investors’behavior in choosing stock, case study: Kuala-Lumpur stock market. African Journal of Business Management, 5(27), 11082- 11092.
Bellofatto, A., & Broihanneb, M.H.(2018). Appetite for Information in Mandatory Pro_ling of Individual Investors. Finance ,39(1) 107-144.
Bonabi Ghadim, R., & Karbasi Yazdi, H. (2014). Application of Mental Accounting (from Theory to Action). Journal of Accounting and Social Interests, 4(2), 117-133. doi: 10.22051/ijar.2014.499 [In Persian].
Caglar, C.E., & Ergün, Z.C., & Durukan, M.B.(2020).The causal linkages between investor sentiment and excess returns on Borsa Istanbul. Borsa Istanbul Review,20(3), 214-223.
Danaeifard, H., & Islami, A. (2011). Applying data foundation theory strategy in practice, constructing the theory of organizational indifference. Imam Sadegh (AS) University Press, Tehran[In Persian].
Ebrahimi, S.K., & Ahmadi Moghadam, M. (2015). The effect of financial leverage and conditional conservatism on the investment inefficiency of companies listed on the Tehran Stock Exchange, Quarterly Financial Accounting ,27(7),102-210[In Persian].
Elgebeily, E., & Guermat, C., & Vendrame , V. (2021). Managerial optimism and investment decision in the UK. Journal of Behavioral and Experimental Finance, 31, 100519.
Eslami Bidgoli, & Gh., Kordloie, H.R. (2010). Behavioral Finance As An Over- Pass Between Standard Finance And Neurofinance. Financial Engineering and Securities Management, 1(1),19-36[In Persian].
Fahimi Doab, R., & Tehrani, R., & Nasehifar, V., & Hejazi, R.(2005). Investigating the importance of factors affecting the behavior of ordinary stock investors in the Mashhad Stock Exchange and its comparative comparison with the behavior of investors in the Tehran Stock Exchange, M.Sc. Thesis, Faculty of Economics and Social Sciences, Al-Zahra University [In Persian].
Haidarpour, F., & Tari Verdi, Y., & Mehrabi, M.(2013). The effect of investors' emotional tendencies on stock returns. Financial Knowledge of Securities Analysis, 6(1),1-13[In Persian].
Hosseini Chegeni, E., & Haghgoo, B., & Rahmaninejad, L. (2014). Studying the Relationship between Behavioral Biases of Investors and Their Investment Decisions in Tehran Stock Exchange. Financial Management, 4(2), 113-133.
Homan, H.A. (1384). The book of structural equation modeling using Lisrel software. Samt Publications, Tehran [In Persian].
Hsiao, K.L., Lu, H.P., & Lan, W.C. (2013).The influence of the components of storytelling blogs on readers travel intentions. Internet Research, 23(2), 160-182.
Izadi Nia, N., & Hajiannejad, A.(2009). Review and Examine the Herd Behavior in Selected Industries in Tehran Stock Exchange. Journal of Securities Exchange, 2(7), 1-105[In Persian].
Jafari, M., & Abdoli, M.R., & Maskani, M. (2017). The effect of managers' behavioral bias on the risk of companies listed on the Iran Stock Exchange. Master's thesis. Shahroud Non-Profit University. Master Thesis, Shahroud Non-Profit University[In Persian].
Kartini K., & Nahda K., (2021). Behavioral Biases on Investment Decision: A Case Study in Indonesia. Journal of Asian Finance, Economics and Business, 8 (3), 1231–1240.
Kariofyllas, S., & Philippas, D., & Siriopoulos, C. (2017). Cognitive biases in investors' behaviour under stress: Evidence from the London Stock Exchange. International Review of Financial Analysis, 54, 54-62.
Karolyi, G.A., & Lee, K.H., & Van Dijk, M.A.(2012). Understanding commonality in liquidity around the world. J. Journal of Financial Economics. 105 (1), 82–112.
Khalili Iraqi, M., & Sardar, S.,  & Vafadar, E.(2017). Influence of Investor’s Emotions on Skewness Perferences and Asset Price, Paper presented at 1th National Conference on the Role of Accounting, Economy and Management, Tabriz, Iran [In Persian].
Kline, R. (2005). Principles and practice of structural equation modeling, 2nded. The Guilford Press, New York, NY.
Lan, Y., & Huang, Y., & Yan, C.(2020).Investor sentiment and stock price: Empirical evidence from Chinese SEOs. Economic Modelling, 94, 703–714.
Lee, C.M.C., Shleifer, A., & Thaler, R.H. (1991). Investor sentiment and the closed-end fund puzzle. Journal of Finance, 46(1), 75-109.
Lodhi, S. (2014). Factors influencing individual investor behaviour: An empirical study of city Karachi. Journal of Business and Management, 16(2),68-76.
Lindner F., & Kirchler M., & Rosenkranz S., & Weitzel U. (2021). Social Motives and Risk-Taking in Investment Decisions. Journal of Economic Dynamics and Control, 127, 1-16.
Mehrani, K., & Madanchi zaj, M. (2018). 'The Test of the Effect of Investor Trading Behavior and Investors` Sentiment on Excess Return in Tehran Stock Exchange', Financial Management Strategy, 6(2), 140-167[In Persian].
Mandal, A., & Deshmukh, S.G. (1994). Vendor selection using interpretive structural modelling (ISM). International Journal of Operations & Production Management, 14(6), 52-59.
Puckett, M.B. (2008). Moderators of the association between relational aggression and perceived popularity. Aggressive Behavior, 34(6), 563–576.
Rahnama Rudpashti, F., & Salehi, A. (2008). Schools and theories of finance and accounting including theories, models, techniques, Central Tehran Branch[In Persian].
Schmeling, M.(2009). Investor sentiment and stock returns: Some international evidence. Journal of Empirical Finance,16(3), 394-408.
Vieira. E. (2011). Herding Behaviour and Sentiment: Evidence in a Small European Market, Spanish Accounting Review, 18 (1),78–86.
Walid, A.(2014).The trading patterns and performance of individual vis-à-vis institutional investors in the Qatar Exchange. Review of Accounting and Finance, 13(1), 24-42.
Saeedi, A., & Farahanian, S.M.J. (2012). Fundamentals of Behavioral Economics and Finance. Stock Exchange Organization, Exchange Information and Services Company[In Persian].
Setayesh, M., & Shamsedini, K. (2016). An Investigation of the Relationship between Investor Sentiment and Price Stocks in Tehran Stock Exchange (TSE), Journal of Accounting Advances, 8(1), 103-125. doi: 10.22099/jaa.2016.3854[In Persian].
Schwarz, N. (2002). Feelings as information: Moods influence judgments and processing strategies. In T. Gilovich, D. Griffin, & D. Kahneman (Eds.), Heuristics and biases: The psychology of intuitive judgment, 534–547.
Stambaugh, R.F., Yu, J., & Yuan, Y. (2012). The short of it: Investor sentiment and anomalies. Journal of Financial Economics, 104 (2), 288-302.
Shahryari nia,A., &  Olafat. L., & Amiri, M., & Pishvaee, & Kazazi. A. (2020). A Hybrid Approach to Develop a Structural Model of Factors Affecting Supply Chain Collaboration in Home Appliance Industry. Journal of Industrial Management Perspective, 10(37).89-116 [In Persian].
Shamsadini, K., & Daneshi, V., & Seyedi, F. (2018). Investigating the Effect of Investors' Behavior and Management on Stock Returns, Journal of Accounting Knowledge, 9(2), 163-189 [In Persian].
Smales Lee, A. (2014). News sentiment and the investor fear gauge. Finance Research Letters, 11(2), 122-130.
Soroushyar, A. (2016). The Investigation of the Role of Momentum and Investors' Sentiments on the Herding Behavior in Tehran Stock Exchange, Journal of Investment Knowledge, 5(18), 147- 159, [In Persian].
Zeynivand, M., & Janani, M.H., & Hematfar, M., & Setayesh, M.R.(2021). Behavioral biases and decisions of individual and institutional investors based on technical information in Tehran Stock Exchange. financial Economics, 15(57), 233-258 [In Persian].
Journal of Development and Capital
Volume 7, Issue 2 - Serial Number 13
December 2022
Pages 191-212

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History

  • Receive Date: 29 May 2022
  • Revise Date: 25 June 2022
  • Accept Date: 02 July 2022

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