Artikel

Modelling the oil price volatility and macroeconomic variables in South Africa using the symmetric and asymmetric GARCH models

This article employed the ARCH, GARCH and EGARCH models to model the oil price volatility and macroeconomic variables in South Africa for the period 1990Q1 to 2018Q2. The macroeconomic variables used in the study are GDP, inflation, interest rate and exchange rates. According to ARCH (1) and GARCH (1, 1) models, exchange rate and interest rate have a negative effect on the oil price, while GDP and inflation suggesting a positive effect. The results for GDP and inflation imply that a 1% increase in GDP and inflation may lead to an increase in oil price. The negative effect on interest rate and exchange rate led by their negative values implies that a 1% increase in interest rate and exchange rate may lead to a decrease in oil price. The EGARCH (1, 1) model revealed that oil price is negatively affected by all the macroeconomic variables. This implies that a 1% increase in these variables may lead to a decrease in oil price. The symmetric and asymmetric techniques revealed that the South African oil prices are volatile. The article recommends that South African policy makers should have a view on the impact of oil price volatility on the South African economy.

Sprache
Englisch

Erschienen in
Journal: Cogent Economics & Finance ; ISSN: 2332-2039 ; Volume: 8 ; Year: 2020 ; Issue: 1 ; Pages: 1-12

Klassifikation
Wirtschaft
Thema
ARCH model
EGARCH model
GARCH model
macroeconomic variables
oil price

Ereignis
Geistige Schöpfung
(wer)
Sekati, Boitumelo Nnoi Yolanda
Tsoku, Johannes Tshepiso
Metsileng, Lebotsa Daniel
Ereignis
Veröffentlichung
(wer)
Taylor & Francis
(wo)
Abingdon
(wann)
2020

DOI
doi:10.1080/23322039.2020.1792153
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Sekati, Boitumelo Nnoi Yolanda
  • Tsoku, Johannes Tshepiso
  • Metsileng, Lebotsa Daniel
  • Taylor & Francis

Entstanden

  • 2020

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