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Financial market integration in sub‐Saharan Africa: How important is contagion?

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  • Robert Akunga
  • Ahmad Hassan Ahmad
  • Simeon Coleman

Abstract

This paper investigates effects of contagion in sub‐Saharan African stock markets by examining both crisis and non‐crisis contingent theories. Specifically, the paper examines cross‐market linkages through heteroskedasticity bias‐adjusted correlation in asset returns and assesses the impact of regional macroeconomic fundamentals on stock market volatility using GARCH‐MIDAS technique. The crisis contingent results reveal that there is no evidence of contagion in sub‐Saharan African markets from crises in global developed markets (the UK and the US). However, there is evidence of contagion from emerging market crises (China, South Africa, and Kenya). The non‐crisis contingent analysis underscores the significance of regional economic fundamentals, especially inflation and the GDP, on stock market volatility in South Africa, Nigeria, and Kenya.

Suggested Citation

  • Robert Akunga & Ahmad Hassan Ahmad & Simeon Coleman, 2023. "Financial market integration in sub‐Saharan Africa: How important is contagion?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3637-3653, October.
  • Handle: RePEc:wly:ijfiec:v:28:y:2023:i:4:p:3637-3653
    DOI: 10.1002/ijfe.2611
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    1. Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
    2. Gehringer, Agnieszka, 2013. "Growth, productivity and capital accumulation: The effects of financial liberalization in the case of European integration," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 291-309.
    3. Acemoglu, Daron & Zilibotti, Fabrizio, 1997. "Was Prometheus Unbound by Chance? Risk, Diversification, and Growth," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 709-751, August.
    4. Ehigiamusoe, Kizito Uyi & Lean, Hooi Hooi, 2019. "Do economic and financial integration stimulate economic growth? A critical survey," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-27.
    5. Harvey, Campbell R, 1995. "Predictable Risk and Returns in Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 773-816.
    6. Mensah, Jones Odei & Alagidede, Paul, 2017. "How are Africa's emerging stock markets related to advanced markets? Evidence from copulas," Economic Modelling, Elsevier, vol. 60(C), pages 1-10.
    7. Elena Andreou & Eric Ghysels, 2002. "Detecting multiple breaks in financial market volatility dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 579-600.
    8. Kanokwan Chancharoenchai & Sel Dibooglu, 2006. "Volatility Spillovers and Contagion During the Asian Crisis: Evidence from Six Southeast Asian Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 42(2), pages 4-17, April.
    9. Park, Cyn-Young & Shin, Kwanho, 2020. "Contagion through National and Regional Exposures to Foreign Banks during the Global Financial Crisis," Journal of Financial Stability, Elsevier, vol. 46(C).
    10. Girardin, Eric & Joyeux, Roselyne, 2013. "Macro fundamentals as a source of stock market volatility in China: A GARCH-MIDAS approach," Economic Modelling, Elsevier, vol. 34(C), pages 59-68.
    11. BenMim, Imen & BenSaïda, Ahmed, 2019. "Financial contagion across major stock markets: A study during crisis episodes," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 187-201.
    12. Horváth, Lajos & Kokoszka, Piotr & Zhang, Aonan, 2006. "Monitoring Constancy Of Variance In Conditionally Heteroskedastic Time Series," Econometric Theory, Cambridge University Press, vol. 22(3), pages 373-402, June.
    13. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    14. Robert F. Engle & Eric Ghysels & Bumjean Sohn, 2013. "Stock Market Volatility and Macroeconomic Fundamentals," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 776-797, July.
    15. Saafi, Sami & Bel Haj Mohamed, Meriem & Ben Doudou, Makram, 2016. "Causal Nexus between Financial Integration and Economic Growth : Does Nonlinearity Matter?," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 31(4), pages 817-854.
    16. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2006. "Predicting volatility: getting the most out of return data sampled at different frequencies," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 59-95.
    17. Geert Bekaert & Campbell R. Harvey & Angela Ng, 2005. "Market Integration and Contagion," The Journal of Business, University of Chicago Press, vol. 78(1), pages 39-70, January.
    18. Paulo Ferreira & Éder Pereira, 2019. "Contagion Effect in Cryptocurrency Market," JRFM, MDPI, vol. 12(3), pages 1-8, July.
    19. Neaime, Simon, 2016. "Financial crises and contagion vulnerability of MENA stock markets," Emerging Markets Review, Elsevier, vol. 27(C), pages 14-35.
    20. Hossein Asgharian & Ai Jun Hou & Farrukh Javed, 2013. "The Importance of the Macroeconomic Variables in Forecasting Stock Return Variance: A GARCH‐MIDAS Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(7), pages 600-612, November.
    21. Gehringer, Agnieszka, 2015. "Uneven effects of financial liberalization on productivity growth in the EU: Evidence from a dynamic panel investigation," International Journal of Production Economics, Elsevier, vol. 159(C), pages 334-346.
    22. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-234, April.
    23. Dornbusch, Rudiger & Park, Yung Chul & Claessens, Stijn, 2000. "Contagion: Understanding How It Spreads," The World Bank Research Observer, World Bank, vol. 15(2), pages 177-197, August.
    24. D. Collins & N. Biekpe, 2003. "Contagion And Interdependence In African Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 71(1), pages 181-194, March.
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