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

Article scientifique 2016 Anglais

Résumé

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

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Gyamfi, E., Kyei, K., Gill, R. (2016). Long-memory in asset returns and volatility: evidence from West Africa. https://doi.org/10.21511/imfi.13(2).2016.03

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