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Connectedness and Shock Propagation in South African Equity Sectors during Extreme Market Conditions

Author

Listed:
  • Babatunde S. Lawrence

    (School of Accounting, Economics and Finance, University of KwaZulu-Natal, Private Bag X 54001, Durban 4000, South Africa)

  • Adefemi A. Obalade

    (Department of Finance, University of the Western Cape, Private Bag X17, Bellville 7535, South Africa)

  • Mishelle Doorasamy

    (School of Accounting, Economics and Finance, University of KwaZulu-Natal, Private Bag X 54001, Durban 4000, South Africa)

Abstract

This study examined the connectedness and propagation of risk in the South African equity sectors during the Global Financial Crisis (GFC), the European Debt Crisis (EDC), the US–China trade war, and the COVID-19 pandemic. Daily returns of nine Johannesburg Stock Exchange (JSE) super sectors were examined from 3 January 2006 to 31 December 2021. Applying the connectedness matrix and time-varying parameter vector autoregressive (TVP-VAR) model, in full sample and sub-periods, the study showed that dynamic total connectedness of the super sectors is high in absolute form (62%). Furthermore, it was found that the highest volatility connectedness was during the EDC (68.83%) and during the COVID-19 pandemic (68.57%), followed by the GFC (63.16%) and lastly the US–China trade war (42.09%), respectively. This suggests that the tendency for a systemic risk is highest during the EDC, COVID-19, and GFC periods, and lowest during the US–China trade war. The financial sector was the primary net-transmitter of shocks during the COVID-19 period, while the automobile and parts sector was the strongest net-transmitter of shocks during the GFC, EDC, and US–China trade war. Similarly, the strongest net recipient of shocks during GFC, EDC, and COVID-19 is the chemical super sector. The study concludes that there is a significant volatility connectedness among JSE super sectors. In addition, the JSE super sectors exhibit time-varying connectedness during extreme events. Moreover, the net-transmitter and net-receiver of shock do not change significantly during different crisis periods. The policy implications of the findings are highlighted in the concluding section.

Suggested Citation

  • Babatunde S. Lawrence & Adefemi A. Obalade & Mishelle Doorasamy, 2024. "Connectedness and Shock Propagation in South African Equity Sectors during Extreme Market Conditions," JRFM, MDPI, vol. 17(10), pages 1-20, September.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:10:p:441-:d:1490026
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    References listed on IDEAS

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    1. Tam Hoang-Nhat Dang & Nhan Thien Nguyen & Duc Hong Vo, 2023. "Sectoral volatility spillovers and their determinants in Vietnam," Economic Change and Restructuring, Springer, vol. 56(1), pages 681-700, February.
    2. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    3. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    4. Koop, Gary & Korobilis, Dimitris, 2013. "Large time-varying parameter VARs," Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
    5. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    6. Samuel Kwaku Agyei & Ahmed Bossman, 2023. "Exploring the dynamic connectedness between commodities and African equities," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(1), pages 2186035-218, December.
    7. Longin, Francois & Solnik, Bruno, 1995. "Is the correlation in international equity returns constant: 1960-1990?," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 3-26, February.
    8. Jung, R.C. & Maderitsch, R., 2014. "Structural breaks in volatility spillovers between international financial markets: Contagion or mere interdependence?," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 331-342.
    9. Elyas Elyasiani & Elena Kalotychou & Sotiris Staikouras & Gang Zhao, 2015. "Return and Volatility Spillover among Banks and Insurers: Evidence from Pre-Crisis and Crisis Periods," Journal of Financial Services Research, Springer;Western Finance Association, vol. 48(1), pages 21-52, August.
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