Abstract
Crude oil has a vital role in the economic growth of a country, because crude oil is a source of energy driving the economy. To maintain economic stability, the price of crude oil in the coming period needs to be anticipated by making predictions on world crude oil commodity prices. One of the models that can be used to predict crude oil prices in the short term is Geometric Brownian Motion (GBM). The purpose of this study is to implement the GBM model in predicting crude oil prices during the Covid-19 pandemic, and to measure the accuracy of the model. In this study, the prediction of oil prices using the GBM model was carried out with 50, 100, and 1000 iterations. The results obtained indicate that the GBM model can work well in predicting crude oil prices during the Covid-19 pandemic. This is indicated by the MAPE value which is less than 10%.
Recommended Citation
Seru, F., Suhendra, C. D., & Saputra, A. D. (2024). Implementasi Geometric Brownian Motion dalam Memprediksi Harga Minyak Mentah pada Masa Pandemi Covid-19. PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika, 18(1). Retrieved from https://scholarhub.uny.ac.id/pythagoras/vol18/iss1/11
