A0221
Title: Automated predictive analysis of crude oil pricing
Authors: Adel Gadhi - University of Sydney (Australia) [presenting]
Abstract: An empirical examination of the effectiveness and precision of automated predictions of crude oil prices is undertaken. Employing straightforward and comprehensible models such as ARIMA, state-space models, structural time series models, and Facebook prophet, both daily and monthly fluctuations in crude oil prices are analyzed. Findings indicate that traditional forecasting models and methods yield high-quality and accurate point and interval predictions for both daily and monthly data. Notably, the ARIMA and state-space models emerge as frontrunners in producing superior forecasts compared to other models under consideration.
