ORIGINALITY/VALUE: Oil demand suddenly decreased as a result of the corona outbreak,
but then abruptly increased as a result of the conflict in Ukraine. Therefore, there is a need to …

Several authors have used different classical statistical models to fit the Nigerian Bonny
Light crude oil price but the application of machine learning models and Fuzzy Time Series …

The crude oil markets have seen unpredictability over petroleum markets' good and bad
times worldwide in the past few years. Various facets of the natural energy industry discuss …

This study presents the performance of wavelet multiple linear regression (WMLR)
technique in daily crude oil forecasting. WMLR model was developed by integrating the …

One of the easiest and fastest ways of building a healthy financial future is investing in the
global market. However, the prices of the global market are highly volatile due to the impact …

Crude oil is, without a doubt, one of the most significant commodities in the modern world.
The highly contagious coronavirus, the conflict between Ukraine and Russia, and not to …

In the past few years, the crude oil industry has seen so much volatility in terms of crude oil
prices in the international oil market. In this research paper, we explore many aspects of the …

In this paper, the procedure of Box-Jenkins of Autoregressive Integrated Moving Average
ARIMA has been applied for analyzing and forecasting the exports of crude oil in Iraq by …

Modeling price volatility of crude oil (PVCO) is pertinent because of the overbearing impact
on any oil-producing economy. This study aimed at evaluating the performance of some …

ABSTRACT This study utilizes Box-Jenkins ARIMA modelling to forecast crude oil prices in
Nigeria from 2013 to 2022. The data, sourced from the CBN statistical bulletin, revealed non …