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The effect of economic, financial and political country risk factors on the JSE mining index: an ARDL approach

Author

Listed:
  • Paul-Francois Muzindutsi
  • Swastika Rajhununan
  • Minenhle Dube
  • Bilal Ganie
  • Evaniya Mahess
  • Delvina Reddy

Abstract

This study employed the auto-regressive distribution lag (ARDL) and non-linear auto-regressive distribution lag (NARDL) models to assess the response of the JSE mining index subsectors to economic, financial and political country risk factors. The sample period comprises of monthly observations from July 1995 to December 2018. Selected mining subsectors include coal, diamonds and gemstones, general mining, gold, and platinum and precious metals. Long-run and short-run findings show that various subsectors of the JSE mining index react differently to country risk shocks, suggesting that investors can diversify some components of country risk within the JSE mining sector.

Suggested Citation

  • Paul-Francois Muzindutsi & Swastika Rajhununan & Minenhle Dube & Bilal Ganie & Evaniya Mahess & Delvina Reddy, 2022. "The effect of economic, financial and political country risk factors on the JSE mining index: an ARDL approach," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 15(1), pages 22-31.
    • Handle: RePEc:ids:ijtrgm:v:15:y:2022:i:1:p:22-31
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