Modelling and Forecasting Crude Oil Prices during COVID-19 Pandemic

Abstract views: 422 / PDF downloads: 499


  • Ernie Hendrawaty Universitas Lampung
  • Rialdi Azhar Universitas Lampung
  • Fajrin Satria Dwi Kesumah Universitas Lampung
  • Sari Indah Oktanti Sembiring Universitas Lampung
  • Mega Metalia Universitas Lampung


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 modelJEL Classifications: C5, C53, C58, Q4, Q47DOI:


Download data is not yet available.




How to Cite

Hendrawaty, E., Azhar, R., Kesumah, F. S. D., Sembiring, S. I. O., & Metalia, M. (2021). Modelling and Forecasting Crude Oil Prices during COVID-19 Pandemic. International Journal of Energy Economics and Policy, 11(2), 149–154. Retrieved from




Most read articles by the same author(s)