The Effect of Fundamental Variables on the Formation of Herding Behavior in the Iranian Capital Market

Document Type : Original Article


1 Ph.D. Student of Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran

2 Associate Professor, Department of Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran

3 Assistant Professor , Department of Accounting ,South Tehran Branch, Islamic Azad University, Tehran, Iran


In recent years, with the governance of behavioral finance paradigm and the standard national theories being challenged, due to their disability in explaining the observed anomalies in the capital market, financial researches have entered into a new intellectual era and in some of the researches, assumptions of modern financial economics have been challenged. One of these assumptions is the assumption that investors are logical and this is seriously challenged and several studies have been devoted to this issue. The purpose of this study is to investigate the effect of fundamental variables on the formation of herding behavior in the Iranian capital market. Experimental findings of the investigation of 110 companies listed on the Tehran Stock Exchange from 2009 to 2019 shows the formation of herding behavior in the Iranian capital market. The results of the present study also confirm that there is a positive and significant relationship between changes in the fundamental variables of accounting (changes in stock returns, changes in assets, changes in sales) and the formation of herding behavior in the Iranian capital market. Analyzing these results, it can be stated that changes in fundamental variables lead to the formation of unintentional herding behavior in the Iranian capital market.


  • Adam Zaremba,Adam Szyszka,Andreas Karathanasopoulos, ateusz  Mikutowski (2020) Herding for profits: Market breadth and the cross-section of global equity returns. Economic Modelling Available online 16 April 2020.
  • Amihud, Y. (2002). Illiquidity and stock returns: cross-section and time-series effects. Journal of Financial Markets, 5(1), 31-56. An Experimental Analysis. The Journal of Finance, 60(1).
  • Axel Buchner, Abdulkadir Mohamed, Armin Schwienbacher(2020) Herd behaviour in buyout investments . Journal of Corporate Finance, Volume 60, February 2020, 101503
  • Balcilar, M., Demirer , R., & Hammoudeh , S. (2014). What Drives Herding in Oil-Rich, Developing Stock Markets? Relative Roles of Own Volatility and Global Factors.
  • Belgacem, A., & Lahiani, A. (2013). Herding Behaviour Around US Herding Behaviour Around US. The Journal of Applied Business Research , 29(5), 1401-1410.
  • Bikchandani, S., & Sharma, S. (2001). Herd Behaviour in Financial Markets. IMF Staff Papers, 47(3), 279-310.
  • Bohl, M., Siklos, P. (2008). Empirical Evidence on Feedback Trading in Mature and Emerging Stock Markets . Applied Financial Economics, 18, 1379-1389.
  • Chang, E. C., Korana, A., Cheng, J. W. (2000). An Examination of Herd Behaviour in Equity Markets: An International Perspective. Journal of Banking and Finance, 24, 1651-1679.
  • Chong, T. T.-L., Liu , X., & Zhu, C. (2016). What Explains Herd Behaviour in the Chinese Stock Market? MPRA(Paper No. 72100), (pp. 1-25). Retrieved November 11, 2016, from https://mpra.ub.unide/72100/1/MPRA_paper_72100.pdf
  • Dang, H. V., & Lin, M. (2016). Herd mentality in the stock market: On the role of idiosyncratic participants with heterogeneous information. 48(c), 247-260.
  • Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor Psychology and Security Market Under- and Overreactions. The Journal of Finance, 53(6), 1839-1885.
  • Dostar Mohammad, Mohammad Nejad Alireza, Javadian Langroudi Maryam (2017). Investigating the effect of herding behavior on the risk taking of managers of investment companies in Tehran Stock Exchange.Asset Management and Financing, Article 9, Volume 5, Number 2, Serial Number 17, Summer, pp: 129-148.Economics and Finance Review, 4(5), 14-30.
  • Fadeeva, A. (2015). Российские нефтяные компании оказались самыми эффективными и доходными в мире [Russian Oil Companies appeared to be most efficient and profitable in the world]. Retrieved February 17, 2017, from Vedomosti:
  • Falah Shams Leistani Mirfeiz, Ghalibaf Asl Hassan, Sarabi Nobakht Samira (2010). Investigating the effect of experience on risk-taking, overconfidence and herding behavior of managers of investment companies in the Tehran Stock Exchange, Securities Exchange Quarterly, No. 12, Third Year, Winter, pp. 25-42
  • Fama, E. F., & French, K. R. (1995). Size and Book-to-Market Factors in Earnings and Returns. The Journal of Finance, 50, 131-155.
  • Filip, A., Pochea, M., & Pece, A. (2015). The Herding Behaviour of Investors in the CEE Stocks Markets. Procedia Economics and Finance, 32, 307-315.
  • Galariotis, E. C., Rong, W., & Spyrou, S. I. (2015). Herding on fundamental information: A comparative study. Journal of Banking & Finance, 50, 589-598.
  • Gümbel, A. (2005). Herding in delegated portfolio management: When is comparative performance information desirable? European Economic Review, 49(3), 599-626.
  • Haigh, M. S., & List, J. A. (2005). Do Professional Traders Exhibit Myopic Loss Aversion?
  • Iwasaki, I. (2014). Global financial crisis, corporate governance, and firm survival:The Russian experience. Journal of Comparative Economics, 42(1), 178-211.
  • Jamshidi Naser, Ghalibaf Asl Hassan, Fadai Nejad Mohammad Ismail (2019), A Study of Behavioral Biases and the Performance of Individual Investors of Tehran Stock Exchange »Financial Research, No. 2, pp. 143-164
  • Keynes, M. J. (1936). General Theory Of Employment , Interest And Money. Norwalk, Connecticut: The Easton Press, 1-263. Retrieved December16, 2016 from 011/generaltheory.pdf
  • Khan, H., Hassairi, S. A., & Viviani, J.-L. (2011). Herd Behaviour and Market Stress: The Case of Four European Countries. International Business Research, 4(3), 53-67.
  • LeRoy, S. F., & Porter, R. D. (1981). The Present-Value Relation: Tests Based on Implied Variance Bounds. Econometrica, 49(3), 555-574.
  • Namatalla, A. A., & Gokoluk, S. (2016). Top 2017 Emerging EMEA Picks Are All Things Russia; Avoid Turkey. Retrieved January 15, 2017 from Bloomberg Markets:
  • Nietzsche , F. W. (1886). Beyond good and evil. First World Library - Literary Society, 107-184. Retrieved December 17, 2016, from QC&printsec=frontcover&source=kp_read_button&redir_esc=y#v=onepage&q&f=fa lse North American Journal of Economics and Finance, 29, 418-440.
  • Özsu, H. H. (2015). Empirical Analysis of Herding Behaviour in Borsa Istanbul. International Journal of Economic Sciences, 4(4), 27-52.
  • Ramezani, Fallah Shams Lialestani Mirfeiz (2016). Investigating Unusual Fluctuations on Formation of Herding Behavior in the Tehran Stock Exchange. Master Thesis in Accounting, Islamic Azad University, Islamic Azad University, Central Tehran Branch, Faculty of Management and Accounting.
  • Rozeff, M. S., & Kinney, W. R. (1976). Capital market seasonality: The case of stock returns. Journal of Financial Economics, 3(4), 379-402.
  • Saeedi Ali, Farhanian Seyed Mohammad Javad (2015) Fundamentals of Economics and Behavioral Finance, Bourse Publications, Second Edition
  • Shams Shahab Aldin, Esfandiari, Moghadam Amir Teimur (2017). The effect of herding behavior on the performance of investment companies based on modern and postmodern portfolio theories. Quarterly Journal of Financial Research, Article 6, Volume 19, Number 1, Spring, pp. 97-118.
  • Shams Shahab Aldin, Esfandiari, Moghadam Amir Teimur (2018). The relationship between herding behavior and performance and characteristics of investment companies. Journal of Financial Accounting and Auditing Research, Volume 10, Number 38, pp. 66-47
  • Shayestemand Hossein, Purzamani Zahra (2017). Comparison of the effect of intangible information on the herding behavior of institutional investors based on Christie's and Huang and Lakonishok, Shleiferand Vishny models. Investment Knowledge, Article 10, Volume 6, Number 23, Fall, pp. 171-188.
  • Shayestemand Hossein, Purzamani Zahra (2018). Comparison of the effect of intangible information on the herding behavior of institutional investors based on Christie's and Huang and Lakonishok, Shleiferand Vishny models, Investment knowledge, Volume 6, Number 23, pp. 171-187
  • Shleifer, A., & Summers, L. H. (1990). The Noise Trader Approach to Finance. Journal of Economic Perspectives, 4(2), 19-33.
  • Shyu, J., & Sun, H.-M. (2010). Do Institutional Investors Herd in Emerging Markets? Evidence from the Taiwan Stock Market. Asian Journal of Finance & Accounting, 2(2).
  • Soroushyar Afsaneh, Ali Ahmadi Saeed (2016), Investigating the role of momentum and investors' feelings on herding behavior in Tehran Stock Exchange, Quarterly Journal of Investment Knowledge, Fifth Year, No. 18, pp. 159-147.
  • Styliani-Iris Krokida& Panagiota Makrychoriti& Spyros Spyrou(2020) Monetary policy and herd behavior: International evidence Journal of Economic Behavior & Organization
  • Tan, L., Chiang, T. C., Mason, J. R., & Nelling, E. (2008). Herding behaviour in Chinese stock markets: An examination of A and B shares. Pacific-Basin Finance Journal, 16(1-2), 61-77.
  • Thirikwa, G. M. (2015). Determinants of Herding in the Nairobi Securities Exchange. Volume 170, February 2020, Pages 386-417
  • Wanga, Guocheng &Wang, Yanyi. (2019). Herding, Social Network and Volatility.Economic Modelling, 68: 74-81.
  • Warner, G. M., & Dyer, M. G. (1994). Evolution of herding behavior in artificial animals. Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior, 393-399.
  • Zahra Shirazian (2019). Investigating the effect of different types of analysts' herding behaviors on the stock prices of companies listed on the Tehran Stock Exchange using network analysis, Quarterly Journal of Investment Knowledge, Volume 8, Number 30, pp. 19-36
  • Zheng, D., Lia, H., & Zhu, X. (2015). Herding behaviour in institutional investors: Evidence from China’s stock market. Journal of Multinational Financial Management,33-33, 59-76.