Analyzing the South African Equity Market Volatility and Economic Policy Uncertainty During COVID-19

Thokozane Ramakau, Daniel Mokatsanyane (), Kago Matlhaku and Sune Ferreira-Schenk
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Thokozane Ramakau: Faculty of Economic Sciences, North-West University, Vanderbijlpark 1900, South Africa
Daniel Mokatsanyane: Faculty of Economic Sciences, North-West University, Vanderbijlpark 1900, South Africa
Kago Matlhaku: Faculty of Economic Sciences, North-West University, Vanderbijlpark 1900, South Africa
Sune Ferreira-Schenk: Faculty of Economic Sciences, North-West University, Vanderbijlpark 1900, South Africa

Economies, 2025, vol. 13, issue 10, 1-22

Abstract: This study examines the dynamics of equity market volatility and economic policy uncertainty (EPU) in South Africa during the COVID-19 pandemic. Using daily return data for sectoral indices and the JSE All Share Index (ALSI) from 1 January 2020 to 31 March 2022, the analysis explores both market-wide and sector-specific volatility responses. Univariate GARCH-family models (GARCH (1,1), E-GARCH, and T-GARCH) are employed to capture volatility clustering, persistence, and asymmetry across sectors. The results show that volatility was highly persistent during the pandemic, with sectoral differences in sensitivity to shocks: Consumer Staples and Financials were particularly reactive to recent news, while Health Care and Basic Materials were more stable. Asymmetric models confirm that market sentiment was predominantly driven by negative news, except in the Energy sector, where positive recovery signals played a stronger role. Correlation analysis further indicates that most sectors were moderately correlated with the ALSI, while Energy and Health Care behaved more independently. In contrast, both the ALSI and sector returns exhibited weak and negative correlations with the South African EPU index, suggesting that uncertainty did not translate directly into equity market declines. Overall, the findings highlight the importance of sectoral heterogeneity in volatility dynamics and suggest that during extreme market events, investors can mitigate downside risk by reallocating portfolios toward more resilient sectors.

Keywords: COVID-19 pandemic; JSE; T-GARCH; E-GARCH; volatility persistence; stock market volatility (search for similar items in EconPapers)
JEL-codes: E F I J O Q (search for similar items in EconPapers)
Date: 2025
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