Herding Behaviour and Stock Market Efficiency: An Empirical Study in the Egyptian Stock Market
DOI:
https://doi.org/10.12775/CJFA.2025.001Keywords
herding behaviour, stock market efficiency, Egyptian stock exchange, EGX100 indexAbstract
This paper examines the impact of herding behaviour on the market efficiency in the Egyptian stock market, by testing the efficiency of a portfolio of stocks showing herding behaviour so that herding behaviour is statistically significant, and testing the efficiency of a portfolio of stocks does not show herding behaviour so that herding behaviour is not significant. The efficiency was tested using the Runs test and the Augmented Dick-Fuller test for Unit Root. Hwang and Salmon (2004) methodology was also applied to measure herding behaviour. Our comprehensive analysis revealed several key findings regarding market efficiency at the weak form. Firstly, Shapiro-Wilk and Kolmogorov-Smirnov tests indicated that stock prices for both portfolios are not normally distributed, suggesting a deviation from the assumptions of weak-form efficiency. Secondly, the Runs test conclusively showed that the time series for both portfolios are non-random, further demonstrating the market's inability to achieve a weak level of efficiency. Finally, the Augmented Dickey-Fuller (ADF) test confirmed the stationarity of the return series for both portfolios, unequivocally rejecting the presence of a unit root and reinforcing the conclusion of market inefficiency at the weak level. Collectively, these results strongly reject the random walk hypothesis and demonstrate that the Egyptian stock market does not achieve weak-form efficiency, regardless of the presence or absence of herding behavior. This finding has significant implications for investors: it suggests that investors may be able to exploit past price information to potentially generate abnormal returns, as market prices do not fully reflect all available historical data.
References
Abd-Alla, M.H. (2020). Sentimental herding: The role of COVID-19 crisis in the Egyptianstock market. Copernican Journal of Finance & Accounting, 9(3), 9–23. https://doi.org/10.12775/CJFA.2020.009.
Abd El-Razcek, M.H., & Abd Elbaseet, A.S. (2023). Does the Egyptian Exchange Marketstill have herd behavior? Scientific Journal for Financial and Commercial Studies and Research, 4(1), 183–228.
Banerjee, A.V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797–817. https://doi.org/10.2307/2118364.
Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. In Handbook of the Economics of Finance, Vol. 1, 1053–1128. https://doi.org/10.3386/w9222.
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom,and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026. https://doi.org/10.1086/261849.
Bikhchandani, S., & Sharma, S. (2000). Herd behaviour in financial markets. IMF StaffPapers, 47(3), 279–310.
Black, F., Jensen, M.C., & Scholes, M. (1972). The capital asset pricing model: Some empiricaltests. In Studies in the theory of capital markets, 79–121.
Bo, H., Li, T., & Sun, Y. (2013). Board attributes and herding in corporate investment: Evidence from Chinese-listed firms. The European Journal of Finance, 22(4–6), 432–462. https://doi.org/10.1080/1351847x.2013.788536.
Buckner, H.T. (1965). A theory of rumor transmission. Public Opinion Quarterly, 29(1), 54–70. https://doi.org/10.1086/267297.
Chang, E.C., Cheng, J.W., & Khorana, A. (2000). An examination of herd behaviour inequity markets: An international perspective. Journal of Banking & Finance, 24(10), 1651–1679. https://doi.org/10.1016/s0378-4266(99)00096-5.
Christie, W.G., & Huang, R.D. (1995). Following the Pied Piper: Do individual returnsherd around the market? Financial Analysts Journal, 51(4), 31–37.
Cootner, H. (1964). The random character of stock market prices. MIT Press.
Devenow, A., & Welch, I. (1996). Rational herding in financial economics. European Economic Review, 40(3–5), 603–615. https://doi.org/10.1016/0014-2921(95)00073-9.
El Mosallamy, D.A., & Gamal, N. (2024). Empirical evidence on testing the efficient markethypothesis in Egypt: Case of currency devaluation. MSA-Management Science Journal, 3(2), 1–27. https://doi.org/10.21608/msamsj.2024.257624.1049.
Fama, E.F. (1965). Random walks in stock market prices. Financial Analysts Journal, 21(5), 55–59. https://doi.org/10.2469/faj.v21.n5.55.
Fama, E.F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486.
Fama, E.F. (1976). Efficient capital markets: Reply. The Journal of Finance, 31(1), 143–145. https://doi.org/10.2307/2326404.
Fama, E.F., Fisher, L., Jensen, M.C., & Roll, R. (1969). The adjustment of stock prices to newinformation. International Economic Review, 10(1), 1–21. https://doi.org/10.2307/2525569.
Fama, E.F., & MacBeth, J.D. (1973). Risk, return, and equilibrium: Empirical tests. Journalof Political Economy, 81(3), 607–636.
French, K.R. (1980). Stock returns and the weekend effect. Journal of Financial Economics, 8(1), 55–69. https://doi.org/10.1016/0304-405x(80)90021-5.
Gavriilidis, C. (2013). Essays on collective investor’s behaviour (Doctoral dissertation, Durham University).
Guney, Y., Kallinterakis, V., & Komba, G. (2017). Herding in frontier markets: Evidencefrom African stock exchanges. Journal of International Financial Markets, Institutionsand Money, 47, 152–175. https://doi.org/10.1016/j.intfin.2016.11.001.
Hirshleifer, D. (2001). Investor psychology and asset pricing. The Journal of Finance, 56(4), 1533–1597. https://doi.org/10.1111/0022-1082.00379.
Hirshleifer, D., & Teoh, S.H. (2003). Herd behaviour and cascading in capital markets: A review and synthesis. European Financial Management, 9(1), 25–66. https://doi.org/10.1111/1468-036x.00207.
Hudson, Y., Yan, M., & Zhang, D. (2020). Herd behaviour & investor sentiment: Evidence from UK mutual funds. International Review of Financial Analysis, 71, 101494. https://doi.org/10.1016/j.irfa.2020.101494.
Hwang, S., & Salmon, M. (2004). Market stress and herding. Journal of Empirical Finance, 11(4), 585–616. https://doi.org/10.1016/j.jempfin.2004.04.003.
Jensen, M.C. (1978). Some anomalous evidence regarding market efficiency. Journal of Financial Economics, 6(2–3), 95–101. https://doi.org/10.1016/0304-405X(78)90025-9.
Kauffman, R.J., & Li, X. (2003). Payoff externalities, informational cascades and managerialincentives: A theoretical framework for IT adoption herding. In Proceedingsof the 2003 INFORMS Conference on IS and Technology, Atlanta, GA, October 2003.
Kendall, M.G., & Hill, A.B. (1953). The analysis of economic time-series—Part I: Prices.
Journal of the Royal Statistical Society. Series A (General), 116(1), 11–34. https://doi.org/10.2307/2980947.
Le Bon, G. (1895). The crowd: A study of the popular mind. London.
Litimi, H. (2017). Herd behavior in the French stock market. Review of Accounting and Finance, 16(4), 497–515. https://doi.org/10.1108/raf-11-2016-0188.
Messaoud, D., & Ben Amar, A. (2025). Herding behaviour and sentiment: Evidence from emerging markets. EuroMed Journal of Business, 20(2), 552–573. https://doi.org/10.1108/EMJB-08-2023-0209.
Ozkan, O. (2021). Impact of COVID-19 on stock market efficiency: Evidence from developed countries. Research in International Business and Finance, 58, 101445. https://doi.org/10.1016/j.ribaf.2021.101445.
Rozeff, M.S., & Kinney, W.R. (1976). Capital market seasonality: The case of stock returns. Journal of Financial Economics, 3(4), 379–402. https://doi.org/10.1016/0304-405x(76)90028-3.
Samuelson, P.A. (1965a). Proof that properly anticipated prices fluctuate randomly. Industrial Management Review, 6(2), 41–49. https://doi.org/10.1142/9789814566926_0002.
Samuelson, P.A. (1965b). Rational theory of warrant pricing. Industrial Management Review, 6(2), 13–39. https://doi.org/10.1007/978-3-319-22237-0_11.
Schindler, M. (2007). Rumors in financial markets: Insights into behavioral finance. Chichester, England: John Wiley & Sons.
Shiller, R.J. (1999). Human behaviour and the efficiency of the financial system. In Handbook of macroeconomics, 1, 1305–1340. https://doi.org/10.1016/S1574-0048(99)10033-8.
Yao, J., Ma, C., & He, W.P. (2014). Investor herding behaviour of Chinese stock market. International Review of Economics & Finance, 29, 12–29. http://dx.doi.org/10.1016/j.iref.2013.03.002.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Mustafa Hussein Abd-Allah, Khloud Magdy Khalaf Mohamed, Maryam Safwat Mohammed Mahmood, Nada Nour Sayed Mohamed

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Stats
Number of views and downloads: 206
Number of citations: 0