Author

  • Mustapha El hami

    • Research laboratory in economic and logistics performance, Morocco
    • Morocco
  • Ahmed Hefnaoui

    • Research laboratory in economic and logistics performance, Morocco
    • Morocco

Abstract

Frontier markets, particularly the Moroccan financial market, are characterized by a narrowness of market, inability to absorb erratic price fluctuations and the low liquidity of securities that encourage investors to herd and imitate those who have all the information about the market. A quantitative research approach was used to analyze the existence of herding n Moroccan stock market. The daily data used in this study concerns the period from 04/01/2010 to 29/12/2017 and contains the daily returns of the MASI and a total of 43 traded stocks. Statistical and econometric methods such as multidimensional scaling and Cross-sectional absolute deviation were used. Subsequently, after the regression models were examined, findings indicated that the first stocks with the highest similarity to the index return are BMCE, BCP, IAM, ATW and CMSR, and the first stocks with the highest dissimilarity are PAP, IBC and SNP, This will have to allow investors to choose profitable alternatives and avoid those that present a possible risk. The results did also show the existence of herding in the Moroccan stock market both upward and downward. This finding was supported by the clear existence of a non-linearity between market performance and CSAD measurement, which confirms the prediction of a nonlinear inversion relationship between CSAD and ????????. This could be due to the low level of transparency that prevails in frontier stock exchanges and reduces the quality of their information environment, which leads investors not to react rationally and to draw information from the transactions of their peers.

Keywords

References

  • Ahsan, A. F. M. M. & Sarkar, A. H. (2013). Herding in Dhaka Stock Exchange. Journal of Applied Business and Economics, 14(2), 11‑19.
  • Avery, C. & Zemsky, P. (1996). Multidimensional Uncertainty and Herd Behavior in Financial Markets. American, The Review, Economic.
  • Bailey, W. & Ng, D. (2010). Behavioral Biases of Mutual Fund Investors.
  • Balcilar, M., Demirer, R. & Hammoudeh, S. (2012). investor Herds and Regime-Switching: Evidence from Gulf Arab Stock Markets Mehmet. Journal of International Financial Markets Institutions and Money.
  • 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.
  • Borg. & Groenen, P. (2005). Modern Multidimensional Scaling: Theory and Applications. Springer New York.
  • Broihanne, M. H. & Capelle-Blancard, G. (2018). Richard Thaler Ou Comment La Finance Est Devenue Comportementale.(Richard Thaler or How Finance Became Behavioural), 128.
  • Chang, E. C., Cheng, J. W. & Khorana, A. (2000). An examination of herd behavior in equity markets: An international perspective. Journal of Banking & Finance, 24, 1651‑1679.
  • Christie, W. G. & Huang, R. D. (1995). Following the Pied Piper: Do Individual Returns Herd around the Market? Financial Analysts Journal, 51(4), 31‑37.
  • Deng, X., Hung, S.& Qiao, Z. (2018). Mutual fund herding and stock price crashes. Journal of Banking and Finance, 94, 166‑184.
  • Devenow, A. & Welch, I. (1996). Rational herding in financial economics. European Economic Review, 40(3‑5), 603‑615.
  • Economou, F. (2016). Herd Behavior in Frontier Markets: Evidence from Nigeria and Morocco. Handbook of Frontier Markets: The African, European and Asian Evidence. Elsevier.
  • Elhami, M. & Hefnaoui, A. (2018). l’efficience du marché dans les marchés émergents et frontières de la zone MENA. Finance & Finance Internationale, 10.
  • Évariste LEFEUVRE. (2011). Marchés financiers, la logique du hasard - Rapprocher les marchés et l’économie pour ne plus subir l’imprévisible. (E. D’Organisation, Éd.) (7 juill).
  • F.Cox, T. & Cox, M. A. A. (2000). Multidimensional Scaling, Second Edition (seconde).
  • Gong, P. & Dai, J. (2017). Monetary policy, exchange rate fluctuation, and herding behavior in the stock market. Journal of Business Research, 76, 34‑43.
  • Grossman, S. J. & Stiglitz, J. E. (1980). American Economic Association On the Impossibility of Informationally Efficient Markets. The American Economic Review, 70(3), 393‑408.
  • Guney, Y., Kallinterakis, V. & Komba, G. (2017). Herding in frontier markets: Evidence from African stock exchanges. Journal of International Financial Markets, Institutions and Money, 47, 152‑175.
  • Hair Junior, J. F., Black, W. C., Babin, B. J., Anderson, R. L. & Tatham, R. L. (2009). Análise Multivariada de Dados. Tradução Adonai Schlup Sant’Anna.
  • Hott, C. (2009). Herding behavior in asset markets. Journal of Financial Stability, 5(1), 35‑56.
  • Lakonishok, J., Shleifer, A. & Vishny, R. W. (1992). The Impact of Institutional Stock Prices. Journal of Financial Economics, 32, 23‑43.
  • Li, W., Wang, S. S. & Rhee, G. (2015). Differences in Herding : Individual vs . Institutional Investors.
  • Nirenberg, S. & Latham, P. E. (2003). Decoding neuronal spike trains: How important are correlations? Proceedings of the National Academy of Sciences, 100(12), 7348‑7353.
  • Park, B. J. & Kim, M. J. (2017). A Dynamic Measure of Intentional Herd Behavior in Financial Markets. MPRA Paper, (11543).
  • Ren, R. & Wu, D. (2018). An Innovative Sentiment Analysis to Measure herd behavior. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1‑11.
  • Theriou, N., Mlekanis, G. & Maditinos, D. (2011). Herding by Mutual Fund Managers in the Athens Stock Exchange. European Research Studies Journal, XIV(4).
  • Vo, X. V. & Phan, D. B. A. (2017). Further evidence on the herd behavior in Vietnam stock market. Journal of Behavioral and Experimental Finance, 13, 33‑41.
  • Yousaf, I., Ali, S. & Shah, S. Z. A. (2018). Herding behavior in Ramadan and financial crises: the case of the Pakistani stock market. Financial Innovation, 4(1), 16.

Downloads

No downloads have been recorded for this article yet. Figures appear here once readers begin downloading the full text.

How to Cite

El hami, M., & Hefnaoui, A. (2019). Analysis of Herding Behavior in Moroccan Stock Market. Journal of Economics and Behavioral Studies, 11(1(J), 181-190. https://doi.org/10.22610/jebs.v11i1(J).2758

Share this article

Section

Research Paper

Published

2019-03-10

Submissions

Have research to publish? Journal of Economics and Behavioral Studies welcomes submissions.

Make a Submission