A Study on Crude Oil Price Forecasting Using RNN Model
subject: Crude oil; Economics growth; Gated recurrent units (GRUs); Long short-term memory (LSTM); Price prediction; RNN; Stock market
description: Crude oil forecasting plays an important role in every countrys economic progress. Inflation is likely to rise as oil prices rise, delaying economic progress. In terms of inflation, oil prices directly affect the expense of commodities produced using petroleum products. Not only crude, this paper provides the idea of best prediction models that could be used for easy prediction in stocks. It provides an overview of the data and methodology. As a result, we have compiled a list of articles that discuss the impact of crude oil on various stock markets and how it affects different countries. And in general, we were looking for the optimal price prediction model between gated recurrent units (GRUs) and long short-term memory (LSTM). 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
creator: Pulimoottil J.S.; Kaushik J.
source: Lecture Notes in Networks and Systems, Vol-462, pp. 423-432.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 23673370; ISBN: 978-981192210-7
format: Online
language: English
type: Conference paper
coverage: Pulimoottil J.S., Christ University, Bangalore, India; Kaushik J., Christ University, Bangalore, India