An analysis of crude oil prices in the last decade (2011-2020): With deep learning approach

Abhibasu Sen, Karabi Dutta Choudhury and Tapan Kumar Datta

PLOS ONE, 2023, vol. 18, issue 3, 1-32

Abstract: Crude Oil is one of the most important commodities in this world. We have studied the effects of Crude Oil inventories on crude oil prices over the last ten years (2011 to 2020). We tried to figure out how the Crude Oil price variance responds to inventory announcements. We then introduced several other financial instruments to study the relation of these instruments with Crude Oil variation. To undertake this task, we took the help of several mathematical tools including machine learning tools such as Long Short Term Memory(LSTM) methods, etc. The previous researches in this area primarily focussed on statistical methods such as GARCH (1,1) etc. (Bu (2014)). Various researches on the price of crude oil have been undertaken with the help of LSTM. But the variation of crude oil price has not yet been studied. In this research, we studied the variance of crude oil prices with the help of LSTM. This research will be beneficial for the options traders who would like to get benefit from the variance of the underlying instrument.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0268996

DOI: 10.1371/journal.pone.0268996

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