z-logo
open-access-imgOpen Access
Predictable or Random?-A Test of the Weak-Form Efficient Market Hypothesis on the Ghana Stock Exchange
Author(s) -
Raphael Awiagah,
Sung S. Choi
Publication year - 2018
Publication title -
journal of finance and economics
Language(s) - English
Resource type - Journals
eISSN - 2328-7284
pISSN - 2328-7276
DOI - 10.12691/jfe-6-6-2
Subject(s) - random walk hypothesis , econometrics , kurtosis , efficient market hypothesis , statistics , statistical hypothesis testing , autocorrelation , economics , normality test , random walk , stock exchange , stock market , skewness , predictability , null hypothesis , mathematics , stock (firearms) , finance , biology , mechanical engineering , horse , paleontology , engineering
The study examines the predictability of index returns on the Ghana stock market within the framework of the weak-form efficient market hypothesis using historical daily, weekly, monthly, and quarterly returns for a period of 28 years (1990-2017). The descriptive statistics reveal huge disparity between the mean and standard deviation, a phenomenon that suggests that the stock market is highly risky. In the same vein, the return series were also found to be positively skewed with leptokurtic kurtosis. The Jarque-Bera statistics showed a non-normality of return distribution. The random walk hypothesis (RWH) was tested using four robust statistical tests, namely the Ljung-Box autocorrelation test, unit root tests, the runs test, and variance ratio tests (such as Wright’s rank and sign and Lo-Mac Kinlay). The empirical results showed that all four tests rejected the random walk hypothesis required by the weak-form efficient market hypothesis in all four return series. This provides empirical basis to infer that the GSE is inefficient at weak-form. The rejection of the RWH on a daily, weekly, monthly, and quarterly basis is possibly an indication that the weak-form inefficient characteristic of the GSE is not sensitive to return frequency.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom