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On nonlinear dependencies in African stock markets

  • Idika E. Okorie
  • , Saralees Nadarajah
  • University of Manchester

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Ferreira, Dionisio, and Correia (2018. Physica A: Statistical Mechanics and Its Applications. 505, 680–687) showed that African stock markets at different time frames (before the Lehman Brothers financial crisis, during the crisis, and after the crisis) do not satisfy the efficient market hypothesis. Here, we provide evidence by means of six different nonparametric tests, and the fit of GARCH(1, 1), TGARCH(1, 1) and EGARCH(1, 1) models accounting for day of the week and month of the year effects that the majority of African stock markets do comply with the efficient market hypothesis.

Original languageBritish English
Article numbere12137
JournalEconomic Notes
Volume49
Issue number1
DOIs
StatePublished - 1 Feb 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • efficient market hypothesis
  • random walk
  • serial correlation

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