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.

Energy and non–energy Commodities: Spillover Effects on African Stock Markets / Amendola, Alessandra; Boccia, Marinella; Candila, Vincenzo; Maria Gallo, Giampiero. - In: JOURNAL OF STATISTICAL AND ECONOMETRIC METHODS. - ISSN 2241-0376. - 9:4(2020), pp. 91-115. [10.47260/jsem/vol947]

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

Alessandra Amendola;Vincenzo Candila
;
2020

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.
2020
Volatility spillover; GARCH-MIDAS; African countries; Commodities
01 Pubblicazione su rivista::01a Articolo in rivista
Energy and non–energy Commodities: Spillover Effects on African Stock Markets / Amendola, Alessandra; Boccia, Marinella; Candila, Vincenzo; Maria Gallo, Giampiero. - In: JOURNAL OF STATISTICAL AND ECONOMETRIC METHODS. - ISSN 2241-0376. - 9:4(2020), pp. 91-115. [10.47260/jsem/vol947]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1443247
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