Predicting crude oil future price using traditional and artificial intelligence-based model : comparative analysis
Sanjeev Kadam, Anshul Agrawal, Aryan Bajaj, Rachit Agarwal, Rameesha Kalra and Jaymin Shah
| Year of publication: |
2023
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| Authors: | Kadam, Sanjeev ; Agrawal, Anshul ; Bajaj, Aryan ; Agarwal, Rachit ; Kalra, Rameesha ; Shah, Jaymin |
| Published in: |
Journal of international commerce, economics and policy. - Hackensack, NJ [u.a.] : World Scientific, ISSN 1793-9941, ZDB-ID 2572311-X. - Vol. 14.2023, 3, Art.-No. 2350014, p. 1-15
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| Subject: | ALSTM | ARIMA | Artificial intelligence | crude oil | forecast | RNN-LSTM | Künstliche Intelligenz | Prognoseverfahren | Forecasting model | Erdöl | Petroleum | Rohstoffderivat | Commodity derivative | Ölpreis | Oil price | Prognose | Forecast | Ölmarkt | Oil market | Welt | World | ARMA-Modell | ARMA model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1142/S179399332350014X [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014437433