Factors affecting gold price prediction and the use of deep learning techniques for gold price prediction

Boongasame, Laor

doi:10.4018/978-1-6684-5849-5.ch016

Factors affecting gold price prediction and the use of deep learning techniques for gold price prediction

Author(s)

Boongasame, Laor

Date Issued

November 11, 2022

Type

Book Chapter

DOI

10.4018/978-1-6684-5849-5.ch016

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.

Citation

Handbook of Research on Artificial Intelligence and Knowledge Management in Asia S Digital Economy, 271-299, 2022