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Analysis of financial contagion in influential African stock markets

Author

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  • Oluwatosin Mary Aderajo

    (Osun State University)

  • Oladotun Daniel Olaniran

    (Obafemi Awolowo University)

Abstract

Drawing from the experience of the global financial crisis that sprang forth from the US stock market, an empirical assessment of the dynamic correlation analysis of financial contagion with evidence from (5) African countries (South African, Nigeria, Egypt, Kenya, Tunisia) is presented. Monthly stock prices indices from 2004 to 2018 was analyzed using the dynamic conditional correlation multivariate GARCH model to ascertain the contagious effect of the US to the selected African markets. By analyzing the correlation coefficient series, three phases of the crisis periods were identified {pre-crisis (2004–2007); crisis (2007–2009) and post-crisis (2009–2018), respectively}. The study revealed that a significant relationship exists between the returns of the US market and the African markets. The inspection of the pre-crisis, crisis, post-crisis mean and variance estimation shows that the crisis period is characterized by substantial increases in volatility, establishing that the shock experienced in the US posed a threat to the African markets being examined. Further, evidence revealed that in the crisis period, an increase in correlation (contagion) existed, while a continued correlation (herding) existed in the post-crisis period.

Suggested Citation

  • Oluwatosin Mary Aderajo & Oladotun Daniel Olaniran, 2021. "Analysis of financial contagion in influential African stock markets," Future Business Journal, Springer, vol. 7(1), pages 1-9, December.
  • Handle: RePEc:spr:futbus:v:7:y:2021:i:1:d:10.1186_s43093-021-00054-z
    DOI: 10.1186/s43093-021-00054-z
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    1. Paul-Francois Muzindutsi & Akita Sheodin & Joshua Moodley & Khmera Moodley & Mayuri Naidoo & Purusha Ramjiyavan & Rinay Moonsamy & Tiffany Atalia Pillay & Fikile Dube, 2022. "Contagion risk in Equity Markets during Financial Crises and COVID-19: A comparison of developed and emerging markets," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(4), pages 615-629, December.
    2. Mohammad Arashi & Mohammad Mahdi Rounaghi, 2022. "Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
    3. Abubakar Jamaladeen & David E. Omoregie & Samuel F. Onipede & Nafiu A. Bashir, 2022. "A regime-switching skew-normal model of contagion in some selected stock markets," SN Business & Economics, Springer, vol. 2(12), pages 1-20, December.

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