African Stock Markets: Efficiency and Relative Predictability

African Stock Markets: Efficiency and Relative Predictability

Author: 
Smith, Graham
Publisher: 
John Wiley & Sons Publishing Company
Date published: 
2014
Record type: 
Region: 
Responsibility: 
Dyakova, Aneta, jt. author
Journal Title: 
South African Journal of Economics
Source: 
South African Journal of Economics, Vol. 82, No. 2, June 2014, pp. 258–275
Abstract: 

The weak form of the efficient markets hypothesis is tested for eight African stock markets using three finite-sample variance ratio tests. A rolling window captures short-horizon predictability, tracks changes in predictability and is used to rank markets by relative predictability. These stock markets experience successive periods when they are predictable and then not predictable; this is consistent with the adaptive markets hypothesis. The degree of predictability varies widely: the least predictable African stock markets are those located in Egypt, South Africa and Tunisia, while the most predictable are in Kenya, Zambia and Nigeria.

Language: 

CITATION: Smith, Graham. African Stock Markets: Efficiency and Relative Predictability . : John Wiley & Sons Publishing Company , 2014. South African Journal of Economics, Vol. 82, No. 2, June 2014, pp. 258–275 - Available at: https://library.au.int/frafrican-stock-markets-efficiency-and-relative-predictability-8