A Study on Crude Oil Price Forecasting Using RNN Model

Title

A Study on Crude Oil Price Forecasting Using RNN Model

Creator

Pulimoottil J.S.; Kaushik J.

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.

Source

Lecture Notes in Networks and Systems, Vol-462, pp. 423-432.

Date

2022-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Crude oil; Economics growth; Gated recurrent units (GRUs); Long short-term memory (LSTM); Price prediction; RNN; Stock market

Coverage

Pulimoottil J.S., Christ University, Bangalore, India; Kaushik J., Christ University, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981192210-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-19-2211-4_38

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135069969&doi=10.1007%2f978-981-19-2211-4_38&partnerID=40&md5=d0894b072358829a0ceb996b6c89c6ea