This paper employs a battery of statistical tests to examine the random walk variant of the weak-form efficient market hypothesis (EMH) using the daily data of the Dhaka Stock Exchange, the major equity market of Bangladesh, over a period of January 1990 to December 2000. The test results, however, are at variance across testing procedures and sub-periods. Results based on the random walk model and unit root tests show that the null hypothesis of randomness cannot be rejected and stock prices have a significant random walk or permanent component. Our analysis of autocorrelation functions indicates mean-reversion behavior of stock returns in most cases albeit with stock returns exhibiting some memory and predictable components during the bubble and post-speculation periods. The evaluation of the EGARCH-M model suggests significant asymmetric and leverage effects during the sub-period of speculative bubbles of 1996-1997. The BDS test indicates evidence of nonlinear long-term dependence during the pre-speculation period, while during the speculation and post-speculation periods the null hypothesis of nonlinear independence was not rejected. Overall, based on this evidence we do not categorically claim that the Dhaka Stock Exchange is weak-form efficient. However, these findings underscore the predictive significance and relevance of the random walk hypothesis as a generalized theory in explaining movements of share prices.Keywords: Weak-form efficient market hypothesis; Dhaka Stock Exchange; random walk model; variance ratio; EGARCH model; BDS statistic. JEL Classification: G14; G15; P34.g Equation (2.1) can be specified as a random walk with drift: log Pt = α+ρ log P t−1 +εt, when the index is growing over time. In that circumstance the constant will be small and positive growing over time. Therefore the null hypotheses would become: α = 0 and ρ = 1. Int. J. Theor. Appl. Finan. 2004.07:1069-1085. Downloaded from www.worldscientific.com by UNIVERSITY OF CALGARY on 04/13/15. For personal use only.