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Factors Affecting Gold Price Prediction and the Use of Deep Learning Techniques for Gold Price Prediction

Factors Affecting Gold Price Prediction and the Use of Deep Learning Techniques for Gold Price Prediction

Laor Boongasame
ISBN13: 9781668458495|ISBN10: 1668458497|EISBN13: 9781668458501
DOI: 10.4018/978-1-6684-5849-5.ch016
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MLA

Boongasame, Laor. "Factors Affecting Gold Price Prediction and the Use of Deep Learning Techniques for Gold Price Prediction." Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy, edited by Patricia Ordóñez de Pablos, et al., IGI Global, 2023, pp. 271-299. https://doi.org/10.4018/978-1-6684-5849-5.ch016

APA

Boongasame, L. (2023). Factors Affecting Gold Price Prediction and the Use of Deep Learning Techniques for Gold Price Prediction. In P. Ordóñez de Pablos, X. Zhang, & M. Almunawar (Eds.), Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy (pp. 271-299). IGI Global. https://doi.org/10.4018/978-1-6684-5849-5.ch016

Chicago

Boongasame, Laor. "Factors Affecting Gold Price Prediction and the Use of Deep Learning Techniques for Gold Price Prediction." In Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy, edited by Patricia Ordóñez de Pablos, Xi Zhang, and Mohammad Nabil Almunawar, 271-299. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-5849-5.ch016

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Abstract

“Gold” is a term that refers to a collection of precious metals. Gold's bright, shiny yellow color is its defining characteristic. Due to the availability of sophisticated computational techniques such as generalized auto-regressive conditional heteroskedasticity (GARCH), it is possible to perform a more accurate analysis of gold price expression data using deep learning. In this chapter, techniques for predicting the gold price using deep learning are presented. Also talked about were problems that have come up in the field and possible directions for future work.

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