Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predicting Crude Oil Future Price Using Traditional and Artificial Intelligence-Based Model: Comparative Analysis Subject The topic of the resource ALSTM; ARIMA; Artificial intelligence; crude oil; forecast; RNN-LSTM Description An account of the resource Crude oil is an imperative energy source for the global economy. The future value of crude oil is challenging to anticipate due to its nonstationarity in nature. The focus of this research is to appraise the explosive behavior of crude oil during 20072022, including the most recent influential crisis COVID-19 pandemic, to forecast its prices. The crude oil price forecasts by the traditional econometric ARIMA model were compared with modern Artificial Intelligence (AI)based Long Short-Term Memory Networks (ALSTM). Root mean square error (RMSE) and mean average percent error (MAPE) values have been used to evaluate the accuracy of such approaches. The results showed that the ALSTM model performs better than the traditional econometric ARIMA forecast model while predicting crude oil opening price on the next working day. Crude oil investors can effectively use this as an intraday trading model and more accurately predict the next working day opening price. 2023 World Scientific Publishing Co. Pte Ltd. All rights reserved. Creator An entity primarily responsible for making the resource Kadam S.; Agrawal A.; Bajaj A.; Agarwal R.; Kalra R.; Shah J. Source A related resource from which the described resource is derived Journal of International Commerce, Economics and Policy, Vol-14, No. 3 Publisher An entity responsible for making the resource available World Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1142/S179399332350014X" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S179399332350014X</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158874498&amp;doi=10.1142%2FS179399332350014X&amp;partnerID=40&amp;md5=1f8248dcbc3b6320d6e0469973b0c2be" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158874498&amp;doi=10.1142%2fS179399332350014X&amp;partnerID=40&amp;md5=1f8248dcbc3b6320d6e0469973b0c2be</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17939933 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kadam S., Symbiosis Institute of Business Management Pune Symbiosis International (Deemed University), Maharashtra, India; Agrawal A., Jaypee Institute of Information Technology, Noida, India; Bajaj A., GISMA School of Business University of Applied Sciences, Potsdam, Germany; Agarwal R., University School of Business Chandigarh University, Punjab, Mohali, 140413, India; Kalra R., School of Business Management CHRIST (Deemed to be University), Bangalore, India; Shah J., Amity Business School Amity University, Panvel, Mumbai, India