African stock markets’ connectedness: Quantile VAR approach Cover Image

African stock markets’ connectedness: Quantile VAR approach
African stock markets’ connectedness: Quantile VAR approach

Author(s): OlaOluwa S. Yaya, Olayinka O. Adenikinju, Hammed A. Olayinka
Subject(s): Economic development, Financial Markets
Published by: Modern Finance Institute
Keywords: quantile dynamic connectedness; African stocks markets; market phases; vector autoregression; portfolio management; normal market condition; lower quantile of returns;

Summary/Abstract: The present paper investigates African stock markets’ linkages by considering stocks in the continent’s largest economies, specifically Egypt, Kenya, Morocco, Nigeria, South Africa, and Tunisia. Using a dataset that spanned November 25, 2008, to September 18, 2023, the quantile connectedness approach of Chatziantoniou et al. (2021) is employed, and the results unfold these interesting dynamics of African market connectivity: (i) In the bearish market phase, South African stock dominated the entire network, transmitting shocks to the remaining stocks, while Moroccan and Kenyan stocks played similar role mildly. (ii) In the bullish market phase, Nigerian stock dominated the market as a major net transmitter of shock supported by South African and Kenyan stock markets. (iii), The Egyptian and Tunis stock markets are net shock receivers in both the bear and bull market phases. (iv), At the median quantile value, stocks become less riskier and the Kenyan stock market becomes the most vulnerable while Nigerian, Egyptian, and South African stock markets are influenced by other stock markets when markets are calm. (v), Though, African stocks are underperforming, interested portfolio managers will learn from the trading strategies to be adopted to maximize their returns. These findings will benefit portfolio managers, international stakeholders, and regulators.

  • Issue Year: 2/2024
  • Issue No: 1
  • Page Range: 51-68
  • Page Count: 18
  • Language: English
Toggle Accessibility Mode