Hendrawaty, Ernie and Azhar, Rialdi and Kesumah, Fajrin Satria Dwi and Sembiring, Sari Indah Oktanti and Metalia, Mega
(2021)
Modelling and Forecasting Crude Oil Prices during COVID-19
Pandemic.
International Journal of Energy Economics and Policy, 11 (2).
pp. 149-154.
ISSN 2146-4553
Abstract
Currently, the world suffers from the COVID-19 pandemic, which affects almost every aspect of daily life, giving rise to recession and affecting
the world prices of crude oil. The study aims to model the high uncertainty of volatility as well as to forecast the daily prices of crude oil during the
pandemic. One econometric model applied in this study is the Generalised Autoregressive Conditional Heteroscedasticity (GARCH) that allows more
accurate and appropriate statistical analyses. Particularly, this study also discusses solving economic issues on the condition of any disturbances in
the stability of daily crude oil prices. The findings suggest that the AR(1)-GARCH(1,1) model is a well-fitted model to predict relatively small errors.
This model can act as a foundation for determining strategies in the future while facing such uncertain circumstances.
Keywords: Forecasting, COVID-19 Pandemic, Crude Oil Prices, Pandemic, Generalised Autoregressive Conditional Heteroscedasticity Model
JEL Classifications: C5, C53, C58, Q4, Q471
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Modelling and Forecasting Crude Oil Prices during COVID-19
Pandemic. (deposited 01 Apr 2021 01:57)
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