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Investor Behavior Biases and Stock Market Reaction in Kenya

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  • Irene Cherono
  • Tobias Olweny
  • Tabitha Nasieku

Abstract

A challenge to EMH is that individuals often overreact and underreact to news causing stock markets to react according to investor behaviour in their investment decision making. Generally, the study determined the effect of investor behaviour on stock market reaction of listed companies in Kenya. Specifically, the study determined the effect of investor herd behaviour on stock market reactions of listed companies in Kenya; determined the effect of investor loss aversion on stock market reactions of listed companies in Kenya; determined the effect of investor mental accounting on stock market reactions of listed companies in Kenya; and determined the effect of investor overconfidence on stock market reactions of listed companies in Kenya. The target population was 67 listed companies at the Nairobi Securities Exchange. A sample of 48 listed companies was used for analysis. Secondary data extracted from NSE historical data of listed companies for the period 2004 to 2016 was used for analysis. The study adopted quantitative research design. Panel data regression analysis model was used. The results indicated that herd behaviour did not have a significant effect on stock market reaction. However, loss aversion, mental accounting and overconfidence had significant effect on stock market reaction in Kenya. JEL classification numbers: C91, D03, D84Keywords: Herding Behaviour; Loss Aversion; Overconfidence; Mental Accounting; Overreaction; Stock Market Reaction; Under-reaction.

Suggested Citation

  • Irene Cherono & Tobias Olweny & Tabitha Nasieku, 2019. "Investor Behavior Biases and Stock Market Reaction in Kenya," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(1), pages 1-6.
  • Handle: RePEc:spt:apfiba:v:9:y:2019:i:1:f:9_1_6
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    as
    1. repec:cup:cbooks:9781107034662 is not listed on IDEAS
    2. Badi H. Baltagi & Espen Bratberg & Tor Helge Holmås, 2005. "A panel data study of physicians' labor supply: the case of Norway," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1035-1045, October.
    3. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    4. Kent Daniel & David Hirshleifer, 2015. "Overconfident Investors, Predictable Returns, and Excessive Trading," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 61-88, Fall.
    5. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    6. Simon Gächter & Eric J. Johnson & Andreas Herrmann, 2022. "Individual-level loss aversion in riskless and risky choices," Theory and Decision, Springer, vol. 92(3), pages 599-624, April.
    7. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    8. Boubaker Adel & Talbi Mariem, 2013. "The Impact of Overconfidence on Investors' Decisions," Business and Economic Research, Macrothink Institute, vol. 3(2), pages 53-75, December.
    9. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    10. Shefrin, Hersh, 2002. "Behavioral decision making, forecasting, game theory, and role-play," International Journal of Forecasting, Elsevier, vol. 18(3), pages 375-382.
    11. Shengle Lin, 2010. "Gradual Information Diffusion and Asset Price Momentum," Working Papers 10-04, Chapman University, Economic Science Institute.
    12. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    13. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    14. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    15. Nicholas Barberis & Ming Huang & Tano Santos, "undated". "Prospect Theory and Asset Prices," CRSP working papers 494, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
    16. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," Journal of Finance, American Finance Association, vol. 56(4), pages 1247-1292, August.
    17. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    18. Mobarek, Asma & Mollah, Sabur & Keasey, Kevin, 2014. "A cross-country analysis of herd behavior in Europe," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 107-127.
    19. Brooks,Chris, 2014. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781107661455, December.
    20. Chiang, Thomas C. & Zheng, Dazhi, 2010. "An empirical analysis of herd behavior in global stock markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1911-1921, August.
    21. Haroon Khan & Slim Hassairi & Jean-Laurent Viviani, 2011. "Herd behavior and market stress: The case of four European countries," Post-Print halshs-00657380, HAL.
    22. Die Wan & Ke Cheng & Xiaoguang Yang, 2014. "The reverse volatility asymmetry in Chinese financial market," Applied Financial Economics, Taylor & Francis Journals, vol. 24(24), pages 1555-1575, December.
    23. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," NBER Working Papers 8190, National Bureau of Economic Research, Inc.
    24. Natividad Blasco & Pilar Corredor & Sandra Ferreruela, 2012. "Does herding affect volatility? Implications for the Spanish stock market," Quantitative Finance, Taylor & Francis Journals, vol. 12(2), pages 311-327, July.
    25. Philip Shane & Peter Brous, 2001. "Investor and (Value Line) Analyst Underreaction to Information about Future Earnings: The Corrective Role of Non‐Earnings‐Surprise Information," Journal of Accounting Research, Wiley Blackwell, vol. 39(2), pages 387-404, September.
    26. Utku Uygur & Oktay Taş, 2014. "The impacts of investor sentiment on returns and conditional volatility of international stock markets," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1165-1179, May.
    27. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
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    More about this item

    Keywords

    herding behaviour; loss aversion; overconfidence; mental accounting; overreaction; stock market reaction; under-reaction.;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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