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The impact of uncertainty shocks in South Africa: The role of financial regimes

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  • Mehmet Balcilar
  • Rangan Gupta
  • Theshne Kisten

Abstract

This article examines the connection between economic uncertainty and financial market conditions in South Africa, documenting that the macroeconomic implications of an uncertainty shock differ across financial regimes. A non‐linear VAR is estimated where uncertainty is captured by the average volatility of structural shocks in the economy, and the transmission mechanism is characterized by two distinct financial regimes (i.e., financially stressful vs. normal periods). We find that while the deterioration of output following an uncertainty shock is much more prominent during normal periods than during stressful periods, it is much more persistent during stressful financial times. The share of output variance explained by the volatility shocks in normal financial times is more than double the share in stressful times. Uncertainty shocks are found to be inflationary in both regimes, with the impact being larger in the stress regime. While our estimates reveal that financial frictions do not amplify the impact of uncertainty on real output, it does increase the impact on prices.

Suggested Citation

  • Mehmet Balcilar & Rangan Gupta & Theshne Kisten, 2021. "The impact of uncertainty shocks in South Africa: The role of financial regimes," Review of Financial Economics, John Wiley & Sons, vol. 39(4), pages 442-454, October.
  • Handle: RePEc:wly:revfec:v:39:y:2021:i:4:p:442-454
    DOI: 10.1002/rfe.1120
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    Cited by:

    1. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Aygun, Gurcan & Wohar, Mark E., 2022. "The macroeconomic impact of economic uncertainty and financial shocks under low and high financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    2. Fabian Moodley, 2025. "The macroeconomic determinants of South African sectoral returns: Evidence from Bull and Bear Regimes," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 14(7), pages 387-400, November.
    3. Afees A. Salisu & Rangan Gupta & Riza Demirer, 2022. "The financial US uncertainty spillover multiplier: Evidence from a GVAR model," International Finance, Wiley Blackwell, vol. 25(3), pages 313-340, December.

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G00 - Financial Economics - - General - - - General

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