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Energy and non–energy Commodities: Spillover Effects on African Stock Markets

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  • Alessandra Amendola
  • Marinella Boccia
  • Vincenzo Candila
  • Giampiero M. Gallo

Abstract

This paper examines the volatility transmission from energy and metal commodities to six major African exporters’ stock markets (Egypt for oil and gold, Nigeria for oil and gas, South Africa for coal and gold, Tunisia for oil, Uganda for gold and Zambia for copper). Modelling commodity volatility with the Double Asymmetric GARCH-MIDAS model with a Student’s t-distribution allows to detect the presence of impact and inertial stock market volatility spillovers at different lags and to take into account the leptokurtosis of the commodity series. We then derive the profile of Volatility Impulse Responses of the stock markets to commodity shocks.  JEL classification numbers: C10, C52, C58.

Suggested Citation

  • Alessandra Amendola & Marinella Boccia & Vincenzo Candila & Giampiero M. Gallo, 2020. "Energy and non–energy Commodities: Spillover Effects on African Stock Markets," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(4), pages 1-7.
    • Handle: RePEc:spt:stecon:v:9:y:2020:i:4:f:9_4_7
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    1. Amendola, Alessandra & Candila, Vincenzo & Gallo, Giampiero M., 2021. "Choosing the frequency of volatility components within the Double Asymmetric GARCH–MIDAS–X model," Econometrics and Statistics, Elsevier, vol. 20(C), pages 12-28.

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    More about this item

    Keywords

    Volatility spillover; GARCH-MIDAS; African countries; Commodities.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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