Long-memory in asset returns and volatility: evidence from West Africa

Autor: Emmanuel Numapau Gyamfi, Kwabena A. Kyei, Ryan Gill
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Investment Management & Financial Innovations, Vol 13, Iss 2, Pp 24-28 (2016)
Druh dokumentu: article
ISSN: 1810-4967
1812-9358
DOI: 10.21511/imfi.13(2).2016.03
Popis: This paper measures the degree of long-memory or long-range dependence in asset returns and volatility of two stock indices in Ghana and Nigeria. The presence of long-memory opens up opportunities for abnormal returns to be made by analyzing price history of a particular market. The authors employ the Hurst exponent to measure the degree of long-memory which is evaluated by a semiparametric method, the Local Whittle estimator. The findings show strong evidence of the presence of long-memory in both returns and volatility of the indices studied, suggesting that neither of the markets in Ghana and Nigeria is weak-form efficient
Databáze: Directory of Open Access Journals