Abstract
This paper studies the performance of Karachi Stock Exchange (KSE) of Pakistan via nonparametric approaches. The study includes the weekly open and closing prices of KSE- 100 indexes for the period of 1st January 1999 to 31st August 2009. Several non-parametric approaches including KolmogorovSmirnov test (Lilliefors test), Ryan-Joiner test (Shapiro-Wilk), Anderson-Darling test, Phillips Perron (PP) unit root test and Runs test are used to test the conviction of the KSE stock market. All non-parametric tests graphically and numerically inform us that both return series do not follow the assumption of normality and randomness, which means rejecting the hypothesis of weak form of efficiency. Generally, results from the observed analysis strongly recommend that the Karachi Stock Market of Pakistan is not efficient.
Keywords
- KSE Search this journal for KSE (opens in a new tab)
- Normality Search this journal for Normality (opens in a new tab)
- Randomness Search this journal for Randomness (opens in a new tab)
- Market Efficiency Search this journal for Market Efficiency (opens in a new tab)
- Non-Parametric Tests Search this journal for Non-Parametric Tests (opens in a new tab)
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Copyright (c) 2011 Muhammad Irfan, Muhammad Saleem, Maria Irfan (Author)

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Keywords
- KSE Search this journal for KSE (opens in a new tab)
- Normality Search this journal for Normality (opens in a new tab)
- Randomness Search this journal for Randomness (opens in a new tab)
- Market Efficiency Search this journal for Market Efficiency (opens in a new tab)
- Non-Parametric Tests Search this journal for Non-Parametric Tests (opens in a new tab)
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