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Market Efficiency In Developing Countries: A Case Study Of The Nairobi Stock Exchange

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  • John P. Dickinson
  • Kinandu Muragu

Abstract

This study extends evidence on the efficiency of stock markets in developing countries using data from the Nairobi Stock Exchange (NSE), and also addresses some methodological issues which have contributed to the sparseness of similar studies. Evidence is provided that small markets such as the NSE may provide empirical results consistent with weak‐form efficiency. This evidence holds for the NSE irrespective of whether bid‐, ask‐, or market‐price series are used in conducting the study.

Suggested Citation

  • John P. Dickinson & Kinandu Muragu, 1994. "Market Efficiency In Developing Countries: A Case Study Of The Nairobi Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 21(1), pages 133-150, January.
  • Handle: RePEc:bla:jbfnac:v:21:y:1994:i:1:p:133-150
    DOI: 10.1111/j.1468-5957.1994.tb00309.x
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    References listed on IDEAS

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    1. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    2. Rosenberg, Barr & Rudd, Andrew, 1982. "Factor-Related and Specific Returns of Common Stocks: Serial Correlation and Market Inefficiency," Journal of Finance, American Finance Association, vol. 37(2), pages 543-554, May.
    3. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    4. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    5. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    6. Cohen, Kalman J, et al, 1978. "The Returns Generation Process, Returns Variance, and the Effect of Thinness in Securities Markets," Journal of Finance, American Finance Association, vol. 33(1), pages 149-167, March.
    7. Latham, Mark, 1986. "Informational Efficiency and Information Subsets," Journal of Finance, American Finance Association, vol. 41(1), pages 39-52, March.
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