A Bibliometric review of gold price forecasting techniques: Trends and future directions

Inani, Sarveshwar Kumar, Kabra, Gaurav, Balodi, Arun and Pagaria, Vaishali (2023) A Bibliometric review of gold price forecasting techniques: Trends and future directions. In: 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), 14-15 September 2023, Ghaziabad, India.

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This study presents a comprehensive bibliometric analysis of 132 articles from the Scopus database, specifically examining the forecasting of gold prices. It explores publication trends, prominent journals, influential authors, institutions, and countries in the field. The findings provide valuable insights into the evolution and trends within this domain, guiding researchers in identifying reputable journals for publication. Future research can focus on developing advanced neural network models to accurately capture complex patterns in gold price forecasting, including new architectures, optimization techniques, and additional variables. Integrating sentiment analysis techniques, such as natural language processing and social media analysis, can enhance the incorporation of emotions and market sentiments

Item Type: Conference or Workshop Item (Paper)
Keywords: Gold | Technological innovation | Sentiment analysis | Social networking (online) | Bibliometrics | Neural networks | Predictive models
Subjects: Physical, Life and Health Sciences > Engineering and Technology
Social Sciences and humanities > Social Sciences > Social Sciences (General)
JGU School/Centre: Jindal Global Business School
Depositing User: Subhajit Bhattacharjee
Date Deposited: 14 Nov 2023 14:40
Last Modified: 21 Dec 2023 06:56
Official URL: https://ieeexplore.ieee.org/abstract/document/1030...
URI: https://pure.jgu.edu.in/id/eprint/6898


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